Obsidian MCP Server (TypeScript)

# Obsidian MCP TypeScript - User Story Details ## Response Mode System (RSM) ### RSM1.1: See vault structure without context overflow **User Story**: As a user, I want to see vault structure with folder/file names and counts by default, so that conversations don't get overwhelmed with full content. **Acceptance Criteria**: - Summary mode returns names + metadata by default - Full mode available via ?mode=full parameter - Response size under 2000 characters for typical vaults **Implementation Notes** (sub-items): - RSM1.1.1: Create mode parameter interface (?mode=summary|preview|full) for this resource only - RSM1.1.2: Return folder/file names only without content (summary mode default) - RSM1.1.3: Include basic metadata (count, size estimates) - RSM1.1.4: Preserve full content mode with ?mode=full parameter - RSM1.1.5: Update corresponding tools to use summary mode by default - RSM1.1.6: Add comprehensive tests for all modes - RSM1.1.7: Document the new response mode system ### RSM1.2: Scan recent changes with manageable previews **User Story**: As a user, I want to scan recent changes with titles and brief previews by default, so that I can quickly identify relevant recent activity. **Acceptance Criteria**: - Preview mode returns titles + 100 chars by default - Full content available via ?mode=full parameter - Chronological ordering with modification dates **Implementation Notes** (sub-items): - RSM1.2.1: Extend mode parameter system to vault://recent resource - RSM1.2.2: Return titles + first 100 characters preview (preview mode default) - RSM1.2.3: Include modification dates and file paths - RSM1.2.4: Preserve full content mode with ?mode=full parameter - RSM1.2.5: Update GetRecentChangesTool to use preview mode by default - RSM1.2.6: Add comprehensive tests for all modes - RSM1.2.7: Update documentation with new resource mode ### RSM1.3: Preview individual notes efficiently **User Story**: As a user, I want to preview individual notes with frontmatter and content snippets by default, so that I can decide if I need full content. **Acceptance Criteria**: - Preview mode returns frontmatter + 200 chars by default - Complete note available via ?mode=full parameter - Basic note statistics included (word count, headers) **Implementation Notes** (sub-items): - RSM1.3.1: Extend mode parameter system to vault://note/{path} resource - RSM1.3.2: Return frontmatter + first 200 characters of content (preview mode default) - RSM1.3.3: Include basic note statistics (word count, headers) - RSM1.3.4: Preserve full content mode with ?mode=full parameter - RSM1.3.5: Update GetFileContentsTool to use preview mode by default - RSM1.3.6: Add comprehensive tests for all modes - RSM1.3.7: Update documentation with new resource mode ### RSM1.4: Navigate folder listings without overload **User Story**: As a user, I want to navigate folder listings with file names and counts by default, so that I can browse without content overload. **Acceptance Criteria**: - Summary mode returns file lists + metadata by default - File previews available via ?mode=full parameter - Nested folder structure preserved **Implementation Notes** (sub-items): - RSM1.4.1: Extend mode parameter system to vault://folder/{path} resource - RSM1.4.2: Return file listings without content previews (summary mode default) - RSM1.4.3: Include file counts and basic metadata - RSM1.4.4: Preserve full content mode with ?mode=full parameter - RSM1.4.5: Update ListFilesInDirTool to use summary mode by default - RSM1.4.6: Add comprehensive tests for all modes - RSM1.4.7: Update documentation with new resource mode ### RSM1.5: Evaluate search results with context snippets **User Story**: As a user, I want to evaluate search results with context snippets by default, so that I can assess relevance quickly. **Acceptance Criteria**: - Preview mode returns snippets + match counts by default - Complete matches available via ?mode=full parameter - Relevance scoring included **Implementation Notes** (sub-items): - RSM1.5.1: Extend mode parameter system to vault://search/{query} resource - RSM1.5.2: Return search results with 100-character context snippets (preview mode default) - RSM1.5.3: Include match counts and file paths - RSM1.5.4: Preserve full content mode with ?mode=full parameter - RSM1.5.5: Update SimpleSearchTool to use preview mode by default - RSM1.5.6: Add comprehensive tests for all modes - RSM1.5.7: Update documentation with new resource mode ### RSM1.6: Browse tag collections with usage patterns **User Story**: As a user, I want to browse tag listings with usage statistics and patterns, so that I can understand my tagging behavior. **Acceptance Criteria**: - Tags display with counts and frequency patterns - Usage metadata and trends included - Sort by frequency or alphabetical **Implementation Notes** (sub-items): - RSM1.6.1: Extend mode parameter system to vault://tags resource - RSM1.6.2: Add metadata about tag usage patterns (already reasonable size) - RSM1.6.3: Include top tags by frequency with usage statistics - RSM1.6.4: Update GetAllTagsTool to use optimized response - RSM1.6.5: Add comprehensive tests for all modes - RSM1.6.6: Update documentation with new resource mode ### RSM1.7: Control response sizes consistently across resources **User Story**: As a power user, I want to control response modes consistently across all resources, so that I can predict and manage response sizes. **Acceptance Criteria**: - All resources support ?mode parameter with consistent behavior - Mode parameter works across vault://, tool calls, and resource access - Documented mode options (summary, preview, full) **Implementation Notes** (sub-items): - RSM1.7.1: Extract common mode parameter handling into BaseResourceHandler - RSM1.7.2: Create shared response size utilities (summary <500 chars, preview <2000 chars) - RSM1.7.3: Optimize summary generation algorithms across all resources - RSM1.7.4: Add caching for computed previews - RSM1.7.5: Measure and document performance improvements - RSM1.7.6: Update all existing response mode implementations to use shared system ## Resource Pagination System (RPS) ### RPS1.1: Browse large vault structures in manageable chunks **User Story**: As a user with a large vault, I want to browse vault structure in manageable chunks, so that I don't overwhelm the conversation with thousands of files. **Acceptance Criteria**: - Default limit of 50 files/folders per page - Pagination interface (?limit=N&offset=N) available - Pagination metadata includes hasMore, total, nextUri - Legacy unlimited mode available with ?legacy=true **Implementation Notes** (sub-items): - RPS1.1.1: Create pagination interface (?limit=N&offset=N) for this resource only - RPS1.1.2: Default limit=50 files/folders per page - RPS1.1.3: Include pagination metadata (hasMore, total, nextUri) - RPS1.1.4: Maintain legacy unlimited mode with ?legacy=true - RPS1.1.5: Update ListFilesInVaultTool to handle paginated responses - RPS1.1.6: Add comprehensive tests for pagination behavior - RPS1.1.7: Document pagination parameters and usage ### RPS1.2: Navigate recent changes with chronological pagination **User Story**: As a user with an active vault, I want to navigate recent changes in chronological pages, so that I can efficiently review recent activity. **Acceptance Criteria**: - Default limit of 20 recent items per page - Time-based pagination with chronological ordering - Modification dates and continuation tokens included - Efficient for large vault histories **Implementation Notes** (sub-items): - RPS1.2.1: Extend pagination system to vault://recent resource - RPS1.2.2: Default limit=20 recent items per page - RPS1.2.3: Include modification dates and continuation tokens - RPS1.2.4: Optimize for time-based pagination (chronological ordering) - RPS1.2.5: Update GetRecentChangesTool to handle paginated responses - RPS1.2.6: Add comprehensive tests for time-based pagination - RPS1.2.7: Update documentation with pagination examples ### RPS1.3: Explore folder contents in paged responses **User Story**: As a user browsing large folders, I want to explore folder contents in pages, so that I can navigate without performance issues. **Acceptance Criteria**: - Default limit of 50 items per page - Nested folder pagination handled efficiently - Directory metadata and item counts included - Preserves folder hierarchy navigation **Implementation Notes** (sub-items): - RPS1.3.1: Extend pagination system to vault://folder/{path} resource - RPS1.3.2: Default limit=50 items per page - RPS1.3.3: Handle nested folder pagination efficiently - RPS1.3.4: Include directory metadata and item counts - RPS1.3.5: Update ListFilesInDirTool to handle paginated responses - RPS1.3.6: Add comprehensive tests for folder pagination - RPS1.3.7: Update documentation with folder pagination examples ### RPS1.4: Review search results in small batches **User Story**: As a user searching large vaults, I want to review search results in small batches, so that I can assess relevance without overwhelming responses. **Acceptance Criteria**: - Default limit of 10 results per page (search is expensive) - Relevance scoring and result ranking maintained - Continuation tokens for consistent ordering - Progressive result refinement possible **Implementation Notes** (sub-items): - RPS1.4.1: Extend pagination system to vault://search/{query} resource - RPS1.4.2: Default limit=10 results per page (search results are expensive) - RPS1.4.3: Include relevance scoring and result ranking - RPS1.4.4: Support continuation tokens for consistent ordering - RPS1.4.5: Update SimpleSearchTool to handle paginated search results - RPS1.4.6: Add comprehensive tests for search pagination - RPS1.4.7: Update documentation with search pagination examples ### RPS1.5: Browse tag collections with optimized pagination **User Story**: As a user with many tags, I want to browse tag collections in organized pages, so that I can explore my tagging system efficiently. **Acceptance Criteria**: - Default limit of 100 tags per page (tags are lightweight) - Sorted by usage frequency for better UX - Tag usage statistics included in metadata - Efficient for vaults with hundreds of tags **Implementation Notes** (sub-items): - RPS1.5.1: Extend pagination system to vault://tags resource - RPS1.5.2: Default limit=100 tags per page (tags are lightweight) - RPS1.5.3: Sort by usage frequency for better UX - RPS1.5.4: Include tag usage statistics in metadata - RPS1.5.5: Update GetAllTagsTool to handle paginated tag responses - RPS1.5.6: Add comprehensive tests for tag pagination - RPS1.5.7: Update documentation with tag pagination examples ### RPS1.6: Access consistent pagination across all resources **User Story**: As a power user, I want to access consistent pagination patterns across all resources, so that I can predict and control data loading behavior. **Acceptance Criteria**: - Common pagination logic shared across all resources - Multiple pagination styles supported (offset/limit, page/limit) - Standardized pagination metadata format - Performance benchmarks validate improvements **Implementation Notes** (sub-items): - RPS1.6.1: Extract common pagination logic into BaseResourceHandler - RPS1.6.2: Create shared pagination parameter parsing utilities - RPS1.6.3: Generate standardized pagination metadata across all resources - RPS1.6.4: Support multiple pagination styles (offset/limit, page/limit) - RPS1.6.5: Update all existing paginated implementations to use shared system - RPS1.6.6: Add performance benchmarks for paginated vs non-paginated responses ### RPS1.7: Receive optimized caching for paginated data **User Story**: As a user working with large datasets, I want to receive optimized caching for paginated responses, so that navigation between pages is fast and efficient. **Acceptance Criteria**: - Paginated responses cached by page parameters - Smart cache invalidation for paginated data - Partial cache updates when underlying data changes - Memory usage optimized for large cached datasets **Implementation Notes** (sub-items): - RPS1.7.1: Update CachedResourceHandler to cache paginated responses by page parameters - RPS1.7.2: Implement smart cache invalidation for paginated data - RPS1.7.3: Handle partial cache updates when underlying data changes - RPS1.7.4: Optimize memory usage for large cached datasets - RPS1.7.5: Add cache hit/miss metrics for paginated resources - RPS1.7.6: Document caching behavior for paginated resources ## File Operations (F1-F13) ### F1: Create new notes and folders instantly **User Story**: As an Obsidian user, I want to create new notes and folders with a single command, so that I can quickly capture ideas without interrupting my flow. **Acceptance Criteria**: - Create notes with specified content in any vault location - Create nested folder structures with parent creation - Handle special characters in file/folder names properly - Return success confirmation with created path - Fail gracefully with clear errors for invalid paths **Implementation Notes**: - Use Obsidian REST API's create endpoint - Validate paths before creation - Support both absolute and relative paths ### F2: Read any note in your vault with a simple command **User Story**: As a knowledge worker, I want to read any note in my vault with a simple command, so that I can access information without navigating through folders. **Acceptance Criteria**: - Retrieve note content from any vault location - Support both absolute and relative paths - Return frontmatter and content separately when needed - Handle binary files gracefully with appropriate messages - Cache frequently accessed notes for performance **Implementation Notes**: - Use Obsidian REST API's get endpoint - Implement caching with TTL for frequently accessed files - Parse frontmatter when present ### F3: Rename files and watch all links update automatically **User Story**: As a vault curator, I want to rename files and watch all links update automatically, so that I can reorganize without breaking connections. **Acceptance Criteria**: - Rename files while preserving all internal links - Update backlinks automatically across all notes - Handle filename conflicts gracefully - Support renaming with path changes - Preserve file metadata during rename **Implementation Notes**: - Use Obsidian's built-in link resolution - Validate new names before executing - Return confirmation of updated references ### F4: Move notes between folders while preserving connections **User Story**: As an Obsidian user, I want to move notes between folders while preserving connections, so that I can reorganize my vault structure without losing relationships. **Acceptance Criteria**: - Move files to any valid destination folder - Update all internal links automatically - Create destination folders if they don't exist - Handle move conflicts with clear error messages - Preserve file timestamps and metadata **Implementation Notes**: - Use Obsidian REST API's move endpoint - Validate destination paths before moving - Support batch move operations ### F5: Copy notes to create templates or variations **User Story**: As a content creator, I want to copy notes to create templates or variations, so that I can reuse structures without starting from scratch. **Acceptance Criteria**: - Copy files to any valid destination with new names - Preserve original content and formatting - Handle copy conflicts with appropriate options - Support copying with content modifications - Return details of created copies **Implementation Notes**: - Use file copy operations via REST API - Validate destination paths and names - Support content transformation during copy ### F6: Delete files safely with trash/recovery options **User Story**: As an Obsidian user, I want to delete files safely with recovery options, so that I can clean up my vault without fear of permanent data loss. **Acceptance Criteria**: - Move files to system trash rather than permanent deletion - Provide confirmation before deletion - Support bulk deletion with batch operations - Handle deletion of files with many backlinks - Return confirmation of deleted items **Implementation Notes**: - Use system trash functionality when available - Implement batch deletion with progress tracking - Check for backlinks before deletion ### F7: Check if paths exist before creating content **User Story**: As a developer using the MCP server, I want to check if paths exist before creating content, so that I can avoid conflicts and plan operations effectively. **Acceptance Criteria**: - Check existence of files and folders quickly - Return detailed path information when exists - Support batch existence checking - Handle permission issues gracefully - Cache existence checks for performance **Implementation Notes**: - Use efficient path checking via REST API - Implement batch checking for multiple paths - Cache results with appropriate TTL ### F8: View file metadata without loading full content **User Story**: As a power user, I want to view file metadata without loading full content, so that I can browse large vaults efficiently. **Acceptance Criteria**: - Return file size, creation date, and modification date - Include frontmatter fields when present - Show word count and character statistics - Support batch metadata retrieval - Complete metadata requests in under 1 second **Implementation Notes**: - Use metadata-only API endpoints - Implement efficient batch processing - Cache metadata with TTL for performance ### F9: Work with nested folder structures naturally **User Story**: As a vault curator, I want to work with nested folder structures naturally, so that I can organize complex projects hierarchically. **Acceptance Criteria**: - Navigate deeply nested folder hierarchies - Create nested structures in single operations - Handle folder name conflicts and special characters - Support folder operations at any depth level - Maintain performance with deep nesting **Implementation Notes**: - Support recursive folder operations - Validate folder hierarchies before creation - Implement efficient nested navigation ### F10: Create folder hierarchies in one command **User Story**: As an Obsidian user, I want to create folder hierarchies in one command, so that I can set up project structures quickly. **Acceptance Criteria**: - Create multiple nested folders with single command - Handle parent folder creation automatically - Support folder templates or predefined structures - Return confirmation of all created folders - Handle creation conflicts gracefully **Implementation Notes**: - Implement recursive folder creation - Support folder structure templates - Validate entire hierarchy before creation ### F11: Move entire project folders with all contents intact **User Story**: As a project manager, I want to move entire project folders with all contents intact, so that I can reorganize large sections of my vault efficiently. **Acceptance Criteria**: - Move folders with all nested files and subfolders - Update all internal links within moved content - Preserve folder structure and file relationships - Handle large folder moves without timeout - Provide progress updates for large operations **Implementation Notes**: - Implement recursive folder moving - Use batch operations for large moves - Track and update all internal references ### F12: Duplicate folder structures for new projects **User Story**: As a content creator, I want to duplicate folder structures for new projects, so that I can reuse proven organizational patterns. **Acceptance Criteria**: - Copy entire folder hierarchies to new locations - Support template substitution in copied content - Handle name conflicts during duplication - Preserve original folder while creating copy - Support selective copying of folder contents **Implementation Notes**: - Implement recursive folder copying - Support content transformation during copy - Handle large folder structures efficiently ### F13: Clean up empty folders to maintain organization **User Story**: As a vault curator, I want to clean up empty folders to maintain organization, so that my vault structure stays clean and purposeful. **Acceptance Criteria**: - Identify empty folders throughout the vault - Support batch deletion of empty folders - Provide preview before deletion - Handle nested empty folder structures - Skip protected or system folders **Implementation Notes**: - Implement recursive empty folder detection - Support batch cleanup operations - Provide confirmation before cleanup ## Periodic Notes (P1-P2) ### P1: Access your daily, weekly, and monthly notes directly **User Story**: As a knowledge worker, I want to access my daily, weekly, and monthly notes directly, so that I can maintain consistent journaling and planning habits. **Acceptance Criteria**: - Get current daily note with single command - Access weekly and monthly notes for any date - Create periodic notes automatically if they don't exist - Support custom periodic note templates - Handle different date formats and naming conventions **Implementation Notes**: - Use Obsidian's periodic notes plugin API - Support multiple date format configurations - Cache current periodic notes for quick access ### P2: Track recent changes across your entire vault **User Story**: As a vault curator, I want to track recent changes across my entire vault, so that I can stay aware of all content modifications and additions. **Acceptance Criteria**: - Show files modified in the last 24 hours by default - Support custom time ranges for change tracking - Include both content changes and new file creations - Display modification timestamps with file paths - Paginate results for vaults with many changes **Implementation Notes**: - Use file system timestamps for change detection - Implement efficient change scanning algorithms - Cache recent changes with appropriate TTL ## Tag Management (T1-T7) ### T1: Manage all your tags from one central place **User Story**: As a vault curator, I want to see and manage all tags in my vault from one interface, so that I can maintain a consistent taxonomy. **Acceptance Criteria**: - List all unique tags with usage counts - Sort by frequency or alphabetically - Include both inline (#tag) and frontmatter tags - Show which files use each tag - Update within 5 seconds of tag changes **Implementation Notes**: - Cache tag index with TTL - Use subscription system for real-time updates - Provide batch operations for efficiency ### T2: See tag usage counts to understand your content **User Story**: As a knowledge worker, I want to see tag usage counts to understand my content patterns, so that I can optimize my tagging strategy. **Acceptance Criteria**: - Display usage count for each tag - Show trending tags over time periods - Identify most and least used tags - Provide tag usage statistics and analytics - Update counts in real-time as tags change **Implementation Notes**: - Implement efficient tag counting algorithms - Cache tag statistics with appropriate refresh rates - Support historical tag usage analysis ### T3: Rename tags globally across hundreds of notes **User Story**: As a vault curator, I want to rename tags globally across hundreds of notes, so that I can evolve my tagging system without manual updates. **Acceptance Criteria**: - Rename tags across all files in single operation - Update both inline and frontmatter tags - Provide preview of affected files before execution - Handle partial failures gracefully with rollback - Complete operations on large vaults within minutes **Implementation Notes**: - Implement batch tag replacement with transaction support - Use search indexes for efficient tag location - Provide progress tracking for large operations ### T4: Add or remove tags from specific files easily **User Story**: As an Obsidian user, I want to add or remove tags from specific files easily, so that I can maintain accurate content categorization. **Acceptance Criteria**: - Add tags to files with single command - Remove specific tags without affecting others - Support both inline and frontmatter tag formats - Prevent duplicate tags automatically - Update tag indexes immediately after changes **Implementation Notes**: - Parse and modify frontmatter safely - Support both tag format preferences - Validate tag names before adding ### T5: Find all notes with specific tags instantly **User Story**: As a researcher, I want to find all notes with specific tags instantly, so that I can gather related content for analysis. **Acceptance Criteria**: - Return all files containing specified tags in under 2 seconds - Support multiple tag combinations (AND/OR logic) - Include tag context and location within files - Rank results by tag relevance - Handle large result sets with pagination **Implementation Notes**: - Use tag indexes for fast lookups - Implement boolean logic for complex tag queries - Cache frequently used tag combinations ### T6: Combine multiple tags in powerful searches **User Story**: As a power user, I want to combine multiple tags in powerful searches, so that I can find precisely the content I need. **Acceptance Criteria**: - Support AND, OR, NOT operations between tags - Allow nested tag logic with parentheses - Combine tag searches with text searches - Provide query syntax help and examples - Save complex tag queries for reuse **Implementation Notes**: - Implement query parser for complex tag logic - Combine tag and text search indexes efficiently - Support query persistence and recall ### T7: Clean up unused or redundant tags **User Story**: As a vault curator, I want to clean up unused or redundant tags, so that my tagging system remains organized and meaningful. **Acceptance Criteria**: - Identify tags with zero usage - Find similar tags that could be merged - Suggest tag consolidation opportunities - Support bulk tag cleanup operations - Provide confirmation before cleanup actions **Implementation Notes**: - Implement unused tag detection algorithms - Use fuzzy matching for similar tag identification - Support batch tag cleanup with confirmation ## Navigation (N1-N8) ### N1: Browse vault structure like a file explorer **User Story**: As an Obsidian user, I want to browse vault structure like a file explorer, so that I can navigate my content intuitively. **Acceptance Criteria**: - Display hierarchical folder and file structure - Support expanding and collapsing folder views - Show file counts and folder sizes - Navigate to any level with direct commands - Load large vault structures without delays **Implementation Notes**: - Implement efficient tree traversal algorithms - Cache folder structures with TTL - Support lazy loading for large directories ### N2: Navigate large folders page by page **User Story**: As a power user with large folders, I want to navigate folder contents page by page, so that I can browse without overwhelming responses. **Acceptance Criteria**: - Default to 50 items per page for folder listings - Support custom page sizes up to 200 items - Provide next/previous page navigation - Include total item counts and page indicators - Maintain sorting preferences across pages **Implementation Notes**: - Implement pagination for folder listings - Cache paginated results for navigation efficiency - Support multiple sorting options ### N3: View folder contents without information overload **User Story**: As a knowledge worker, I want to view folder contents without information overload, so that I can focus on the files I need. **Acceptance Criteria**: - Show file names and basic metadata by default - Provide detail levels (summary, detailed, full) - Filter content by file type or date ranges - Support search within specific folders - Display information in clean, readable format **Implementation Notes**: - Implement response mode system for folder views - Support filtering and search within folders - Optimize display formatting for readability ### N4: Get file counts and sizes for any directory **User Story**: As a vault curator, I want to get file counts and sizes for any directory, so that I can understand my vault's storage patterns. **Acceptance Criteria**: - Show total file count and folder size - Break down by file types (markdown, images, etc.) - Include subdirectory statistics - Calculate sizes efficiently for large folders - Cache size calculations for performance **Implementation Notes**: - Implement efficient directory size calculation - Support file type categorization and statistics - Cache size information with appropriate TTL ### N5: Sort files by name, date, or size **User Story**: As an Obsidian user, I want to sort files by name, date, or size, so that I can find content using different organizational approaches. **Acceptance Criteria**: - Support sorting by name (alphabetical), creation date, modification date, and file size - Provide both ascending and descending sort orders - Maintain sort preferences within sessions - Apply sorting to paginated results consistently - Handle mixed content types appropriately **Implementation Notes**: - Implement flexible sorting algorithms - Cache sorted results for pagination efficiency - Support multiple sort criteria combinations ### N6: Filter content by file type or extension **User Story**: As a power user, I want to filter content by file type or extension, so that I can focus on specific types of content. **Acceptance Criteria**: - Filter by common types (markdown, images, PDFs, etc.) - Support custom file extension filtering - Combine type filters with other search criteria - Show file type statistics in results - Apply filters to both searches and browsing **Implementation Notes**: - Implement comprehensive file type detection - Support complex filtering combinations - Optimize filtering for large datasets ### N7: Track folder organization patterns **User Story**: As a vault curator, I want to track folder organization patterns, so that I can optimize my vault structure over time. **Acceptance Criteria**: - Analyze folder depth and branching patterns - Identify folders with too many or too few files - Show folder usage and access patterns - Suggest organizational improvements - Track changes in organization over time **Implementation Notes**: - Implement vault structure analysis algorithms - Collect usage statistics for organizational insights - Provide actionable organization recommendations ### N8: Identify and clean up empty directories **User Story**: As a vault curator, I want to identify and clean up empty directories, so that my vault structure stays organized. **Acceptance Criteria**: - Find all empty directories throughout the vault - Distinguish between truly empty and containing hidden files - Support bulk cleanup of empty directories - Provide confirmation before deletion - Handle nested empty directory structures **Implementation Notes**: - Implement recursive empty directory detection - Support safe bulk cleanup operations - Handle edge cases with hidden or system files ## Search (S1-S15) ### S1: Search text across all notes instantly **User Story**: As a knowledge worker, I want to search for text across my entire vault instantly, so that I can find relevant information without remembering where I stored it. **Acceptance Criteria**: - Search completes in under 2 seconds for vaults with 10k+ notes - Returns results with surrounding context (100 chars) - Supports case-sensitive and case-insensitive search - Shows file path and match location - Handles special characters and regex patterns **Implementation Notes**: - Leverage Obsidian's search index - Implement result caching for repeated searches - Support pagination for large result sets ### S2: Get search results with surrounding context **User Story**: As a researcher, I want to get search results with surrounding context, so that I can evaluate relevance without opening each file. **Acceptance Criteria**: - Show 100 characters before and after each match - Highlight matching terms within context - Include line numbers for precise location - Support adjustable context length - Handle matches near file boundaries gracefully **Implementation Notes**: - Implement efficient context extraction algorithms - Support highlighting in various output formats - Cache context for repeated result viewing ### S3: Use advanced filters for precise searches **User Story**: As a power user, I want to use advanced filters for precise searches, so that I can narrow down results effectively. **Acceptance Criteria**: - Filter by file path patterns or folder locations - Filter by creation or modification date ranges - Combine text search with tag filtering - Support file type and size filters - Allow exclusion filters (NOT logic) **Implementation Notes**: - Implement comprehensive filtering system - Support complex filter combinations - Optimize filtered searches for performance ### S4: Search by content, metadata, or tags combined **User Story**: As a knowledge worker, I want to search by content, metadata, or tags combined, so that I can find exactly what I need with complex criteria. **Acceptance Criteria**: - Search frontmatter fields specifically - Combine content search with tag requirements - Search within specific metadata fields - Support boolean logic across search types - Rank results by combined relevance scores **Implementation Notes**: - Implement unified search across all content types - Create relevance scoring algorithms - Support complex query parsing and execution ### S5: Filter by creation or modification dates **User Story**: As a vault curator, I want to filter by creation or modification dates, so that I can find content from specific time periods. **Acceptance Criteria**: - Support absolute date ranges (YYYY-MM-DD format) - Support relative dates (last week, last month) - Filter by creation date, modification date, or both - Handle timezone considerations appropriately - Combine date filters with other search criteria **Implementation Notes**: - Implement flexible date parsing and filtering - Support various date format inputs - Optimize date-based queries for performance ### S6: Search within specific folders only **User Story**: As an Obsidian user, I want to search within specific folders only, so that I can limit results to relevant project areas. **Acceptance Criteria**: - Specify single folder or multiple folders for search scope - Support recursive search within subfolders - Allow folder exclusion from search scope - Combine folder filtering with other search criteria - Show search scope clearly in results **Implementation Notes**: - Implement efficient folder-scoped searching - Support folder path pattern matching - Optimize search indexing for folder-based queries ### S7: Use regular expressions for complex patterns **User Story**: As a developer, I want to use regular expressions for complex patterns, so that I can find sophisticated text patterns and structures. **Acceptance Criteria**: - Support full regex syntax for pattern matching - Provide regex syntax help and examples - Handle regex errors with clear error messages - Support case-sensitive and case-insensitive regex - Show regex match groups in results when applicable **Implementation Notes**: - Implement robust regex processing with error handling - Provide regex validation and syntax checking - Optimize regex searches for performance ### S8: Get case-sensitive search when needed **User Story**: As a researcher, I want to control case sensitivity in searches, so that I can find exact matches when precision matters. **Acceptance Criteria**: - Default to case-insensitive search for user-friendliness - Provide explicit case-sensitive search option - Support mixed case sensitivity within single search - Remember case sensitivity preferences within sessions - Show case sensitivity status clearly in search interface **Implementation Notes**: - Implement flexible case sensitivity controls - Support user preference persistence - Optimize search indexes for both case modes ### S9: Search frontmatter fields specifically **User Story**: As a content creator, I want to search frontmatter fields specifically, so that I can find notes based on metadata rather than content. **Acceptance Criteria**: - Search specific frontmatter fields by name - Support different frontmatter value types (strings, arrays, dates) - Combine frontmatter search with content search - Handle missing or malformed frontmatter gracefully - Provide field name suggestions and auto-completion **Implementation Notes**: - Implement frontmatter parsing and indexing - Support various YAML data types in search - Create efficient metadata search algorithms ### S10: Combine multiple search criteria with logic **User Story**: As a power user, I want to combine multiple search criteria with logic, so that I can create sophisticated search queries. **Acceptance Criteria**: - Support AND, OR, NOT operations between criteria - Allow nested logic with parentheses - Combine text, tag, metadata, and date criteria - Provide query builder interface for complex searches - Save and reuse complex search queries **Implementation Notes**: - Implement query parser for complex boolean logic - Create query optimization algorithms - Support query persistence and management ### S11: Navigate search results page by page **User Story**: As a user with large search result sets, I want to navigate results page by page, so that I can review findings systematically. **Acceptance Criteria**: - Default to 10 results per page for search results - Support custom page sizes up to 50 results - Maintain search relevance ranking across pages - Provide result count and page navigation - Remember position when returning to results **Implementation Notes**: - Implement efficient pagination for search results - Maintain result ordering consistency across pages - Cache paginated results for navigation performance ### S12: See result rankings by relevance **User Story**: As a knowledge worker, I want to see result rankings by relevance, so that I can focus on the most pertinent matches first. **Acceptance Criteria**: - Rank results by match frequency and context relevance - Consider tag matches and metadata relevance - Show relevance scores or indicators - Support manual relevance adjustments - Learn from user interaction patterns over time **Implementation Notes**: - Implement sophisticated relevance scoring algorithms - Support multiple ranking factors and weighting - Consider user behavior in relevance calculations ### S13: Preview matches before opening files **User Story**: As an efficient worker, I want to preview matches before opening files, so that I can determine relevance without context switching. **Acceptance Criteria**: - Show expanded context around matches (200+ characters) - Display multiple matches per file with context - Include file metadata in previews - Support preview customization (context length, formatting) - Make previews fast and responsive **Implementation Notes**: - Implement efficient preview generation - Support customizable preview formatting - Cache previews for repeated viewing ### S14: Export search results for analysis **User Story**: As a researcher, I want to export search results for analysis, so that I can work with findings in external tools. **Acceptance Criteria**: - Export results in multiple formats (JSON, CSV, markdown) - Include full context and metadata in exports - Support filtered exports (selected results only) - Handle large result sets efficiently - Preserve search query information in exports **Implementation Notes**: - Implement flexible export formatting - Support streaming exports for large datasets - Include comprehensive metadata in exports ### S15: Save searches for repeated use **User Story**: As a power user, I want to save searches for repeated use, so that I can quickly access complex queries. **Acceptance Criteria**: - Save search queries with descriptive names - Include all search parameters (filters, scope, options) - Organize saved searches with categories or tags - Support search templates with parameters - Share saved searches between vault sessions **Implementation Notes**: - Implement search query persistence - Support search organization and management - Create parameterized search templates ## Editing (E1-E15) ### E1: Edit notes using natural language commands **User Story**: As an Obsidian user, I want to edit notes using natural language commands, so that I can modify content intuitively without complex syntax. **Acceptance Criteria**: - Accept commands like "add this after the Introduction section" - Support section-based editing with heading recognition - Handle multiple edit operations in single command - Preserve existing formatting and structure - Provide preview of changes before applying **Implementation Notes**: - Implement natural language parsing for edit commands - Use document structure analysis for section targeting - Support transactional edits with rollback capability ### E2: Append content to any note easily **User Story**: As a content creator, I want to append content to any note easily, so that I can add information without manual navigation. **Acceptance Criteria**: - Add content to the end of any note with single command - Preserve existing formatting and spacing - Support both plain text and markdown formatting - Handle large content additions efficiently - Return confirmation of successful appends **Implementation Notes**: - Use efficient file append operations - Maintain formatting consistency - Support bulk append operations for multiple files ### E3: Replace text across entire documents **User Story**: As an editor, I want to replace text across entire documents, so that I can make consistent changes efficiently. **Acceptance Criteria**: - Replace all occurrences of text within single files - Support case-sensitive and case-insensitive replacement - Provide preview of all changes before execution - Handle regex patterns for complex replacements - Support undo operations for replacements **Implementation Notes**: - Implement efficient text replacement algorithms - Support regex-based replacements with validation - Provide comprehensive change preview functionality ### E4: Insert content at specific headings **User Story**: As a structured writer, I want to insert content at specific headings, so that I can add information to the right sections. **Acceptance Criteria**: - Insert content before or after any heading level - Handle nested heading structures appropriately - Support partial heading name matching - Preserve document structure and formatting - Handle missing headings with clear error messages **Implementation Notes**: - Implement robust heading detection and parsing - Support flexible heading matching algorithms - Maintain document structure integrity during insertions ### E5: Add content before or after sections **User Story**: As a content organizer, I want to add content before or after sections, so that I can enhance existing structure without disruption. **Acceptance Criteria**: - Target sections by heading name or number - Support section-relative positioning (before, after, within) - Handle multi-level section hierarchies - Preserve section formatting and spacing - Validate section references before editing **Implementation Notes**: - Implement section boundary detection - Support hierarchical section navigation - Maintain consistent formatting across section edits ### E6: Update frontmatter fields programmatically **User Story**: As a vault curator, I want to update frontmatter fields programmatically, so that I can maintain metadata consistency across many files. **Acceptance Criteria**: - Add, update, or remove specific frontmatter fields - Support various data types (strings, arrays, dates, booleans) - Preserve frontmatter formatting and comments - Handle malformed frontmatter gracefully - Support batch frontmatter updates across multiple files **Implementation Notes**: - Implement robust YAML parsing and modification - Support various frontmatter formats and styles - Validate data types before updating ### E7: Work with block references naturally **User Story**: As an Obsidian power user, I want to work with block references naturally, so that I can maintain linked content relationships. **Acceptance Criteria**: - Identify and work with block IDs and references - Preserve block references during edits - Support editing referenced blocks while maintaining links - Handle block reference creation and management - Update block references when content moves **Implementation Notes**: - Implement block reference detection and preservation - Support block ID management and updates - Maintain reference integrity during content modifications ### E8: Edit multiple sections in one operation **User Story**: As an efficient editor, I want to edit multiple sections in one operation, so that I can make comprehensive changes quickly. **Acceptance Criteria**: - Support batch editing of multiple sections simultaneously - Handle different edit types per section (append, replace, insert) - Provide transaction-like behavior (all succeed or all fail) - Preview all changes before execution - Support undo for complex multi-section edits **Implementation Notes**: - Implement transactional editing system - Support multiple edit operation types in single command - Provide comprehensive change preview and rollback ### E9: Preview document structure before editing **User Story**: As a careful editor, I want to preview document structure before editing, so that I can understand the context and plan changes effectively. **Acceptance Criteria**: - Show document outline with heading hierarchy - Display section lengths and content summaries - Identify block references and special elements - Show edit targets clearly before modification - Support interactive structure navigation **Implementation Notes**: - Implement document structure analysis - Support multiple structure view formats - Create interactive preview interfaces ### E10: See all headings and their hierarchy **User Story**: As a document navigator, I want to see all headings and their hierarchy, so that I can understand document organization. **Acceptance Criteria**: - Display complete heading hierarchy with levels - Show heading content and section lengths - Support navigation to specific headings - Handle malformed or inconsistent heading levels - Provide outline export functionality **Implementation Notes**: - Implement robust heading extraction and hierarchy analysis - Support various heading formats and styles - Create navigable outline interfaces ### E11: Navigate to specific sections quickly **User Story**: As a document worker, I want to navigate to specific sections quickly, so that I can focus on relevant content areas. **Acceptance Criteria**: - Jump to sections by heading name or number - Support partial heading matching - Show section context when navigating - Handle duplicate heading names appropriately - Provide section search and filtering **Implementation Notes**: - Implement efficient section lookup algorithms - Support fuzzy matching for section names - Create section-based navigation interfaces ### E12: Maintain formatting during edits **User Story**: As a quality-conscious writer, I want to maintain formatting during edits, so that my documents stay professional and consistent. **Acceptance Criteria**: - Preserve markdown formatting elements - Maintain indentation and spacing patterns - Keep list formatting and nesting intact - Preserve code blocks and special formatting - Handle formatting conflicts gracefully **Implementation Notes**: - Implement formatting-aware editing algorithms - Support various markdown formatting styles - Preserve document formatting consistency ### E13: Preserve indentation automatically **User Story**: As a structured writer, I want indentation preserved automatically, so that my document hierarchy remains clear. **Acceptance Criteria**: - Maintain existing indentation patterns - Apply appropriate indentation to new content - Handle mixed indentation styles appropriately - Preserve list and block indentation - Support customizable indentation preferences **Implementation Notes**: - Implement indentation pattern detection and preservation - Support various indentation styles (spaces, tabs) - Maintain consistency in indentation handling ### E14: Handle lists and checkboxes properly **User Story**: As a task-oriented user, I want lists and checkboxes handled properly, so that my task management and organization systems work reliably. **Acceptance Criteria**: - Preserve list formatting and numbering - Maintain checkbox states during edits - Support list item addition and modification - Handle nested lists appropriately - Update list references and connections **Implementation Notes**: - Implement list-aware editing algorithms - Support various list formats and styles - Maintain list structure integrity during modifications ### E15: Edit code blocks without breaking syntax **User Story**: As a technical writer, I want to edit code blocks without breaking syntax, so that my documentation remains accurate and functional. **Acceptance Criteria**: - Preserve code block delimiters and language tags - Maintain code formatting and indentation - Support various code block formats - Handle code block insertion and modification - Validate code block structure during edits **Implementation Notes**: - Implement code block detection and preservation - Support multiple code block formats - Maintain syntax highlighting compatibility ## Performance (PERF1-PERF15) ### PERF1: Open vaults with 10,000+ files instantly **User Story**: As a power user with a large knowledge base, I want to open and work with massive vaults without delays, so that vault size doesn't limit my productivity. **Acceptance Criteria**: - Initial vault access completes in under 1 second - No memory errors with vaults up to 100GB - Smooth navigation without UI freezing - Background indexing doesn't block operations - Progress indicators for long operations **Implementation Notes**: - Use lazy loading and pagination - Implement progressive enhancement - Cache frequently accessed data - Stream large datasets ### PERF2: Browse thousands of files without memory issues **User Story**: As a vault curator, I want to browse thousands of files without memory issues, so that I can manage large collections efficiently. **Acceptance Criteria**: - Navigate large directories without memory leaks - Handle file listings up to 50,000 items - Maintain responsive performance during browsing - Use memory efficiently with pagination - Support background cleanup of unused data **Implementation Notes**: - Implement efficient memory management - Use lazy loading for large file listings - Support garbage collection and cleanup ### PERF3: Search large vaults in milliseconds **User Story**: As a knowledge worker, I want to search large vaults in milliseconds, so that I can find information instantly. **Acceptance Criteria**: - Search 10,000+ files in under 500ms - Use prebuilt indexes for common search patterns - Support incremental search with live results - Maintain search performance under load - Cache search results for repeated queries **Implementation Notes**: - Leverage optimized search indexes - Implement result caching with TTL - Support incremental and progressive search ### PERF4: Get instant access to recently viewed notes **User Story**: As an active user, I want instant access to recently viewed notes, so that I can continue work without delays. **Acceptance Criteria**: - Recently accessed files load in under 100ms - Maintain recent file cache across sessions - Support customizable recent file history size - Preload frequently accessed content - Handle recent file cache efficiently **Implementation Notes**: - Implement LRU cache for recent files - Support persistent recent file tracking - Preload content based on usage patterns ### PERF5: Experience zero lag with smart caching **User Story**: As an intensive user, I want zero lag with smart caching, so that my workflow remains uninterrupted. **Acceptance Criteria**: - Cache hit rates above 90% for common operations - Intelligent cache warming based on usage patterns - Automatic cache invalidation on content changes - Memory-efficient cache management - Cache performance monitoring and optimization **Implementation Notes**: - Implement sophisticated caching algorithms - Support predictive cache warming - Monitor cache performance and effectiveness ### PERF6: Process batch operations reliably **User Story**: As a bulk operations user, I want batch operations to process reliably, so that I can handle large-scale changes without errors. **Acceptance Criteria**: - Handle batch operations on 1000+ files - Provide progress tracking for long operations - Support pause/resume for extended operations - Recover from partial failures gracefully - Maintain data integrity during batch processing **Implementation Notes**: - Implement robust batch processing with error handling - Support operation queuing and progress tracking - Provide transaction-like behavior for batch operations ### PERF7: See progress on long-running tasks **User Story**: As a user of complex operations, I want to see progress on long-running tasks, so that I understand system status and can plan accordingly. **Acceptance Criteria**: - Show detailed progress indicators for operations over 5 seconds - Provide estimated completion times - Display current operation status and item counts - Support progress tracking across multiple operation types - Allow cancellation of long-running tasks **Implementation Notes**: - Implement comprehensive progress tracking system - Support real-time progress updates - Provide cancellation mechanisms for long operations ### PERF8: Cancel operations that take too long **User Story**: As a user with time constraints, I want to cancel operations that take too long, so that I can maintain control over system resources. **Acceptance Criteria**: - Support cancellation for all long-running operations - Clean up partial results after cancellation - Provide clear status after operation cancellation - Maintain system stability after cancelled operations - Support graceful termination without data corruption **Implementation Notes**: - Implement cancellation tokens for all operations - Support cleanup and rollback for cancelled operations - Maintain system integrity during cancellation ### PERF9: Resume interrupted batch processes **User Story**: As a user of large batch operations, I want to resume interrupted batch processes, so that I don't lose progress from system issues. **Acceptance Criteria**: - Automatically save progress during batch operations - Resume operations from last successful checkpoint - Handle system restarts and connection issues - Maintain operation state across interruptions - Provide clear resumption status and options **Implementation Notes**: - Implement operation checkpointing and state persistence - Support automatic and manual operation resumption - Handle various interruption scenarios gracefully ### PERF10: Handle network issues gracefully **User Story**: As a user in variable network conditions, I want the system to handle network issues gracefully, so that temporary connectivity problems don't disrupt my work. **Acceptance Criteria**: - Retry failed network operations automatically - Provide offline mode for cached content - Handle timeout errors with appropriate backoff - Maintain operation queue during network issues - Recover automatically when network is restored **Implementation Notes**: - Implement exponential backoff for network retries - Support offline operation modes - Handle various network error conditions appropriately ### PERF11: Retry failed operations automatically **User Story**: As a user experiencing occasional errors, I want failed operations to retry automatically, so that temporary issues don't require manual intervention. **Acceptance Criteria**: - Automatically retry transient failures up to 3 times - Use exponential backoff between retry attempts - Distinguish between retryable and permanent errors - Provide manual retry options for failed operations - Log retry attempts for debugging and monitoring **Implementation Notes**: - Implement sophisticated retry logic with backoff - Support error classification and retry decision logic - Provide comprehensive retry logging and monitoring ### PERF12: Process files in parallel for speed **User Story**: As a user working with many files, I want file processing to happen in parallel, so that operations complete as quickly as possible. **Acceptance Criteria**: - Process multiple files simultaneously with configurable concurrency - Maintain system stability under parallel load - Handle parallel processing errors gracefully - Optimize concurrency based on system resources - Provide parallel processing status and control **Implementation Notes**: - Implement efficient parallel processing with worker pools - Support configurable concurrency limits - Handle resource contention and error scenarios ### PERF13: Stream large results without loading all at once **User Story**: As a user working with large datasets, I want results streamed without loading everything at once, so that memory usage stays manageable. **Acceptance Criteria**: - Stream results for operations returning 1000+ items - Maintain low memory footprint during streaming - Support streaming across various operation types - Handle streaming errors and interruptions gracefully - Provide streaming progress and status information **Implementation Notes**: - Implement efficient streaming algorithms - Support backpressure and flow control - Handle streaming across various data types and operations ### PERF14: Work with vaults over 100GB in size **User Story**: As a user with massive knowledge bases, I want to work with vaults over 100GB, so that I can manage enterprise-scale content. **Acceptance Criteria**: - Handle vaults with 100,000+ files efficiently - Maintain responsive performance with large vaults - Use disk space efficiently for caching and indexing - Support incremental loading for massive datasets - Provide vault size optimization recommendations **Implementation Notes**: - Implement scalable algorithms for large datasets - Support efficient disk usage and cleanup - Optimize for enterprise-scale vault management ### PERF15: Maintain performance in long sessions **User Story**: As a user with extended work sessions, I want performance to remain consistent over time, so that long usage periods don't degrade experience. **Acceptance Criteria**: - No performance degradation after 8+ hour sessions - Automatic cleanup of unused resources - Memory usage stays stable over extended periods - Cache efficiency maintained throughout long sessions - System responsiveness consistent over time **Implementation Notes**: - Implement comprehensive resource cleanup and management - Support long-running session optimization - Monitor and maintain performance over extended usage ## Optimization (OPT1-OPT15) ### OPT1: Preview notes before loading full content **User Story**: As an efficient browser, I want to preview notes before loading full content, so that I can evaluate relevance without unnecessary data transfer. **Acceptance Criteria**: - Show first 200 characters with frontmatter - Include basic metadata (word count, modification date) - Load previews in under 200ms - Support batch preview generation - Provide seamless transition to full content when needed **Implementation Notes**: - Implement efficient preview generation algorithms - Cache previews with appropriate TTL - Support various preview formats and lengths ### OPT2: Get summaries instead of complete files **User Story**: As a content scanner, I want summaries instead of complete files, so that I can process information efficiently. **Acceptance Criteria**: - Generate intelligent summaries of file content - Preserve key information and structure - Support customizable summary lengths - Handle various content types appropriately - Maintain summary accuracy and relevance **Implementation Notes**: - Implement content summarization algorithms - Support various summarization techniques - Cache summaries for repeated access ### OPT3: Access vault statistics instantly **User Story**: As a vault analyst, I want vault statistics instantly, so that I can understand my knowledge base structure and usage. **Acceptance Criteria**: - Show file counts, total size, and content statistics - Provide tag usage and link analysis - Display folder structure analytics - Update statistics incrementally as vault changes - Support detailed breakdowns by content type **Implementation Notes**: - Implement efficient statistics calculation and caching - Support incremental statistics updates - Provide comprehensive analytics across multiple dimensions ### OPT4: View only the data you need **User Story**: As a focused user, I want to view only the data I need, so that I can avoid information overload and work efficiently. **Acceptance Criteria**: - Support granular data selection (content only, metadata only, etc.) - Provide field-level filtering for structured content - Allow custom response formats for specific use cases - Support view templates for common data patterns - Remember user preferences for data selection **Implementation Notes**: - Implement flexible data filtering and selection - Support various response format customizations - Provide user preference persistence ### OPT5: Navigate resources without downloading everything **User Story**: As a bandwidth-conscious user, I want to navigate resources without downloading everything, so that I can work efficiently with limited connectivity. **Acceptance Criteria**: - Load resource listings without content - Support on-demand content loading - Provide resource metadata without full download - Cache navigation structures efficiently - Support offline navigation of cached structures **Implementation Notes**: - Implement lazy loading for resource navigation - Support efficient metadata-only operations - Provide comprehensive offline capabilities ### OPT6: Use 95% fewer tokens with smart responses **User Story**: As a cost-conscious user, I want to use 95% fewer tokens with smart responses, so that I can work efficiently within token budgets. **Acceptance Criteria**: - Provide response mode system (summary/preview/full) - Default to minimal necessary information - Support progressive information disclosure - Optimize response sizes automatically - Track and report token usage savings **Implementation Notes**: - Implement sophisticated response optimization - Support automatic response size optimization - Provide token usage monitoring and reporting ### OPT7: Cache frequently accessed information **User Story**: As a repetitive user, I want frequently accessed information cached, so that repeated operations are instant. **Acceptance Criteria**: - Cache file contents, search results, and metadata - Support intelligent cache warming based on usage patterns - Maintain cache consistency with automatic invalidation - Provide cache hit rate monitoring - Support customizable cache sizes and TTL settings **Implementation Notes**: - Implement comprehensive caching system with LRU policies - Support intelligent cache warming and invalidation - Provide cache performance monitoring and tuning ### OPT8: Avoid duplicate API calls automatically **User Story**: As an efficiency-focused user, I want duplicate API calls avoided automatically, so that system resources are used optimally. **Acceptance Criteria**: - Deduplicate identical concurrent requests - Cache recent responses to avoid repeated calls - Support request batching for related operations - Provide deduplication effectiveness monitoring - Handle deduplication across various operation types **Implementation Notes**: - Implement request deduplication system - Support intelligent request batching and caching - Provide comprehensive deduplication monitoring ### OPT9: Get paginated results for large datasets **User Story**: As a large dataset user, I want paginated results, so that I can handle extensive information without overwhelming responses. **Acceptance Criteria**: - Default pagination limits based on operation type - Support customizable page sizes and navigation - Maintain consistent ordering across pages - Provide pagination metadata (total count, current page) - Support efficient page navigation and jumping **Implementation Notes**: - Implement comprehensive pagination system - Support various pagination styles and preferences - Optimize pagination for different data types ### OPT10: Control response formats for efficiency **User Story**: As a format-conscious user, I want to control response formats, so that I can optimize for my specific use cases. **Acceptance Criteria**: - Support multiple output formats (JSON, markdown, plain text) - Allow format selection per operation - Provide format-specific optimizations - Support custom format templates - Remember format preferences per context **Implementation Notes**: - Implement flexible response formatting system - Support various output formats with optimization - Provide format preference management ### OPT11: Access metadata without content **User Story**: As a metadata-focused user, I want to access metadata without content, so that I can analyze structure without data overhead. **Acceptance Criteria**: - Provide metadata-only operations for all content types - Support efficient metadata extraction and caching - Include comprehensive metadata (dates, sizes, tags, etc.) - Handle metadata-only requests quickly (under 100ms) - Support batch metadata operations **Implementation Notes**: - Implement efficient metadata-only operations - Support comprehensive metadata extraction - Optimize metadata operations for performance ### OPT12: Get content without metadata when needed **User Story**: As a content-focused user, I want content without metadata when needed, so that I can focus on information without structural overhead. **Acceptance Criteria**: - Provide content-only response options - Strip metadata and formatting when requested - Support plain text extraction from various formats - Maintain content accuracy without metadata overhead - Handle content-only requests efficiently **Implementation Notes**: - Implement content extraction without metadata - Support various content-only formats - Optimize content-only operations for performance ### OPT13: Choose between markdown, plain text, or HTML **User Story**: As a format-flexible user, I want to choose between markdown, plain text, or HTML, so that I can work with content in my preferred format. **Acceptance Criteria**: - Support markdown, plain text, and HTML output formats - Maintain formatting fidelity across format conversions - Handle complex content structures in all formats - Support format conversion with minimal data loss - Provide format-specific optimizations **Implementation Notes**: - Implement robust format conversion system - Support various content formats with high fidelity - Optimize conversion performance and accuracy ### OPT14: Batch multiple operations together **User Story**: As an efficiency-focused user, I want to batch multiple operations together, so that I can complete complex workflows efficiently. **Acceptance Criteria**: - Support batching of related operations - Handle mixed operation types in single batches - Provide transaction-like behavior for batch operations - Support partial success handling in batches - Optimize batch execution for performance **Implementation Notes**: - Implement comprehensive batch operation system - Support various operation types in batches - Provide transaction and error handling for batches ### OPT15: Monitor resource usage in real-time **User Story**: As a resource-conscious user, I want to monitor resource usage in real-time, so that I can understand system impact and optimize accordingly. **Acceptance Criteria**: - Display memory, CPU, and network usage statistics - Track operation performance and resource consumption - Provide usage trends and optimization recommendations - Support resource usage alerts and thresholds - Offer resource usage history and analysis **Implementation Notes**: - Implement comprehensive resource monitoring - Support real-time usage tracking and reporting - Provide usage optimization recommendations ## Quality (Q1-Q15) ### Q1: Get clear error messages that help you fix issues **User Story**: As a user encountering problems, I want error messages that clearly explain what went wrong and how to fix it, so that I can resolve issues independently. **Acceptance Criteria**: - Error messages include specific problem description - Provide actionable fix suggestions - Include relevant context (file path, operation) - Distinguish between user errors and system errors - Log detailed info for debugging without exposing internals **Implementation Notes**: - Centralized error handling system - Error message templates with placeholders - Context-aware suggestions based on operation type ### Q2: See suggestions when something goes wrong **User Story**: As a problem-solving user, I want to see suggestions when something goes wrong, so that I can quickly resolve issues and continue working. **Acceptance Criteria**: - Provide specific suggestions for common error scenarios - Include examples of correct usage when applicable - Suggest alternative approaches when operations fail - Link to relevant documentation for complex issues - Support contextual help based on error type **Implementation Notes**: - Implement context-aware suggestion system - Create comprehensive error scenario database - Provide dynamic help generation based on error context ### Q3: Understand exactly what failed and why **User Story**: As a detail-oriented user, I want to understand exactly what failed and why, so that I can prevent similar issues and improve my usage patterns. **Acceptance Criteria**: - Provide detailed failure analysis with root causes - Include operation context and parameter information - Distinguish between different types of failures - Show failure location and affected components - Support detailed logging for complex failure scenarios **Implementation Notes**: - Implement comprehensive failure analysis system - Support detailed failure reporting and classification - Provide root cause analysis for common failure patterns ### Q4: Recover from errors without losing work **User Story**: As a productive user, I want to recover from errors without losing work, so that temporary issues don't impact my progress. **Acceptance Criteria**: - Maintain operation state during error conditions - Support automatic retry for transient errors - Provide rollback capabilities for failed operations - Preserve user data and progress during errors - Offer manual recovery options when automatic recovery fails **Implementation Notes**: - Implement comprehensive error recovery system - Support automatic and manual recovery mechanisms - Provide state preservation during error conditions ### Q5: Trust that your data is handled safely **User Story**: As a security-conscious user, I want to trust that my data is handled safely, so that I can use the system with confidence. **Acceptance Criteria**: - Implement comprehensive input validation and sanitization - Provide secure path handling to prevent directory traversal - Support secure authentication and authorization - Maintain data integrity during all operations - Provide audit logging for security-relevant operations **Implementation Notes**: - Implement comprehensive security controls - Support secure data handling across all operations - Provide security monitoring and audit capabilities ### Q6: Know that paths are validated for security **User Story**: As a safety-conscious user, I want path validation for security, so that malicious or incorrect paths cannot compromise my system. **Acceptance Criteria**: - Validate all file and folder paths before operations - Prevent directory traversal and path injection attacks - Support safe path normalization and resolution - Provide clear error messages for invalid paths - Log security-relevant path validation events **Implementation Notes**: - Implement comprehensive path validation system - Support secure path handling with validation - Provide security logging for path-related operations ### Q7: Rely on comprehensive test coverage **User Story**: As a quality-focused user, I want comprehensive test coverage, so that I can trust the system's reliability and stability. **Acceptance Criteria**: - Maintain high test coverage across all functionality - Include unit, integration, and end-to-end tests - Test error conditions and edge cases thoroughly - Provide continuous testing and quality monitoring - Support test result reporting and analysis **Implementation Notes**: - Implement comprehensive testing strategy - Support various test types and coverage analysis - Provide continuous quality monitoring and reporting ### Q8: Benefit from TypeScript's type safety **User Story**: As a reliability-focused user, I want to benefit from TypeScript's type safety, so that type-related errors are prevented at development time. **Acceptance Criteria**: - Use strict TypeScript configuration for maximum safety - Provide comprehensive type definitions for all interfaces - Eliminate runtime type errors through compile-time checking - Support type-safe API interactions and data handling - Maintain type safety across all system components **Implementation Notes**: - Implement strict TypeScript configuration - Support comprehensive type safety across all components - Provide type-safe interfaces and API interactions ### Q9: Experience consistent behavior across all tools **User Story**: As a workflow-focused user, I want consistent behavior across all tools, so that I can predict system responses and work efficiently. **Acceptance Criteria**: - Maintain consistent parameter naming and behavior - Provide uniform error handling and reporting - Support consistent response formats across tools - Use consistent operation patterns and conventions - Maintain behavioral consistency across updates **Implementation Notes**: - Implement consistent patterns and conventions - Support uniform behavior across all system components - Provide comprehensive consistency monitoring ### Q10: Use the same commands in any context **User Story**: As an efficiency-focused user, I want to use the same commands in any context, so that I don't need to learn different interfaces. **Acceptance Criteria**: - Support consistent command syntax across all contexts - Provide uniform parameter handling and validation - Maintain consistent behavior in different usage scenarios - Support context-independent command execution - Provide consistent help and documentation across contexts **Implementation Notes**: - Implement uniform command interface system - Support consistent behavior across different contexts - Provide comprehensive command consistency monitoring ### Q11: Get predictable results every time **User Story**: As a reliability-focused user, I want predictable results every time, so that I can depend on consistent system behavior. **Acceptance Criteria**: - Provide deterministic results for identical operations - Maintain consistent behavior across different system states - Support predictable error handling and recovery - Eliminate race conditions and timing-dependent behavior - Provide consistent performance characteristics **Implementation Notes**: - Implement deterministic operation handling - Support consistent behavior across various system conditions - Provide comprehensive reliability monitoring ### Q12: Trust automatic link updates during moves **User Story**: As a vault organizer, I want to trust automatic link updates during moves, so that I can reorganize content without breaking relationships. **Acceptance Criteria**: - Update all internal links automatically during file moves - Handle various link formats (wikilinks, markdown links) - Preserve link functionality across folder restructuring - Provide confirmation of link updates after moves - Support rollback if link updates fail **Implementation Notes**: - Implement comprehensive link tracking and updating - Support various link formats and relationship types - Provide reliable link update confirmation and rollback ### Q13: Depend on reliable vault synchronization **User Story**: As a multi-device user, I want reliable vault synchronization, so that changes are consistently reflected across all access points. **Acceptance Criteria**: - Maintain consistent vault state across sessions - Handle concurrent modifications gracefully - Provide conflict resolution for simultaneous changes - Support reliable change detection and propagation - Maintain data integrity during synchronization **Implementation Notes**: - Implement reliable synchronization mechanisms - Support conflict detection and resolution - Provide comprehensive synchronization monitoring ### Q14: Configure behavior for your specific needs **User Story**: As a customization-focused user, I want to configure behavior for my specific needs, so that the system works optimally for my use cases. **Acceptance Criteria**: - Support comprehensive configuration options - Provide user-specific and vault-specific settings - Allow customization of behavior patterns and preferences - Support configuration templates and presets - Maintain configuration consistency across sessions **Implementation Notes**: - Implement flexible configuration system - Support various configuration scopes and inheritance - Provide comprehensive configuration management ### Q15: Customize settings per vault **User Story**: As a multi-vault user, I want to customize settings per vault, so that different projects can have appropriate configurations. **Acceptance Criteria**: - Support vault-specific configuration overrides - Maintain separate settings for different vaults - Provide configuration inheritance and defaults - Support vault-specific behavior customization - Allow easy configuration switching between vaults **Implementation Notes**: - Implement vault-specific configuration system - Support configuration inheritance and overrides - Provide comprehensive vault-specific customization ## Documentation (D1-D3) ### D1: Access detailed documentation for every feature **User Story**: As a thorough user, I want detailed documentation for every feature, so that I can understand capabilities and use them effectively. **Acceptance Criteria**: - Provide comprehensive documentation for all tools and features - Include usage examples and common patterns - Support searchable documentation with good organization - Maintain documentation currency with feature updates - Provide multiple documentation formats (online, offline, interactive) **Implementation Notes**: - Implement comprehensive documentation system - Support various documentation formats and access methods - Provide documentation maintenance and update processes ### D2: Get examples for common use cases **User Story**: As a practical user, I want examples for common use cases, so that I can quickly learn effective usage patterns. **Acceptance Criteria**: - Provide working examples for typical usage scenarios - Include copy-pasteable code snippets and commands - Support progressive examples from simple to complex - Maintain example accuracy with system updates - Provide examples for integration with other tools **Implementation Notes**: - Create comprehensive example library - Support various example formats and complexity levels - Provide example testing and maintenance processes ### D3: Learn from helpful error recovery tips **User Story**: As a problem-solving user, I want helpful error recovery tips, so that I can resolve issues quickly and learn better usage patterns. **Acceptance Criteria**: - Provide specific recovery guidance for common error scenarios - Include troubleshooting steps and diagnostic information - Support contextual help based on specific error conditions - Maintain recovery documentation with system updates - Provide links to relevant documentation and resources **Implementation Notes**: - Implement contextual error recovery system - Support comprehensive troubleshooting and diagnostic capabilities - Provide recovery documentation maintenance processes ## Integration (I1-I4) ### I1: Integrate with Claude Desktop seamlessly **User Story**: As a Claude Desktop user, I want obsidian-mcp to work seamlessly with my AI assistant, so that I can manage my notes without switching contexts. **Acceptance Criteria**: - One-click installation from Claude Desktop - Auto-discovery of Obsidian vaults - No manual configuration required for basic use - Clear status indicators for connection state - Graceful handling of Obsidian not running **Implementation Notes**: - MCP protocol compliance - Automatic port detection - Health check endpoints - Clear setup documentation ### I2: Use with MCP-compatible tools **User Story**: As a developer, I want to use obsidian-mcp with MCP-compatible tools, so that I can integrate Obsidian into various workflows and applications. **Acceptance Criteria**: - Full MCP protocol compliance for interoperability - Support standard MCP tool and resource interfaces - Provide comprehensive API documentation for integration - Support various transport methods (stdio, HTTP, WebSocket) - Maintain compatibility with MCP specification updates **Implementation Notes**: - Implement full MCP protocol compliance - Support various transport and integration methods - Provide comprehensive integration documentation ### I3: Extend functionality with new tools easily **User Story**: As a power user or developer, I want to extend functionality with new tools easily, so that I can customize the system for specific needs. **Acceptance Criteria**: - Provide clear extension and plugin architecture - Support dynamic tool registration and discovery - Include comprehensive developer documentation - Provide tool development templates and examples - Support community tool sharing and distribution **Implementation Notes**: - Implement extensible tool architecture - Support dynamic tool loading and registration - Provide comprehensive developer resources ### I4: Benefit from active development and updates **User Story**: As a long-term user, I want to benefit from active development and updates, so that the system continues to improve and adapt to my needs. **Acceptance Criteria**: - Regular feature updates and improvements - Responsive bug fixes and issue resolution - Clear communication about updates and changes - Backward compatibility with existing workflows - Community feedback integration and responsiveness **Implementation Notes**: - Implement sustainable development and update processes - Support community feedback and contribution mechanisms - Maintain backward compatibility and migration support ## Performance Optimization Integration (POI) ### POI1.1: Receive automatic cache invalidation on file changes **User Story**: As a user editing notes, I want to receive automatic cache invalidation when files change, so that I always see current data without manual cache clearing. **Acceptance Criteria**: - File operations trigger cache invalidation events automatically - Subscription system connects NotificationManager to CacheSubscriptionManager - Cache synchronization works across all tools and resources - Integration tests verify subscription event flow ### POI1.2: Experience optimized batch processing with retry logic **User Story**: As a user working with multiple files, I want to experience optimized batch processing with retry logic, so that bulk operations are reliable and efficient. **Acceptance Criteria**: - OptimizedBatchProcessor replaces standard BatchProcessor in FileOperationsClient - Streaming mode available for large operations - Retry logic configured for batch operations with exponential backoff - Progress callbacks available for batch tools - Memory-efficient streaming for operations on hundreds of files ### POI1.3: Benefit from automatic request deduplication **User Story**: As a user making frequent requests, I want to benefit from automatic request deduplication, so that identical concurrent requests don't create unnecessary load. **Acceptance Criteria**: - RequestDeduplicator integrated into ObsidianClient services - High-frequency operations wrapped (getFileContents, search operations) - Deduplication keys generated for different request types - Metrics tracking shows deduplication effectiveness - Concurrent identical requests return same cached response ### POI1.4: Access well-documented configuration options **User Story**: As a user setting up the MCP server, I want to access well-documented configuration options, so that I can customize behavior for my specific needs. **Acceptance Criteria**: - Config file hierarchy documented in README.md - Examples of config file usage provided - Environment variable precedence clearly explained - Config file template available for common scenarios ## Technical Implementation Tasks ### POI2.1: Integrate OptimizedBatchProcessor in FileOperationsClient **Status**: Completed (already integrated) **Technical Task**: Integration of OptimizedBatchProcessor to replace standard BatchProcessor ### POI2.2: Add streaming mode for large batch operations **Status**: Completed (streaming methods added) **Technical Task**: Implementation of streaming capabilities for large file operations ### POI2.3: Configure retry logic with exponential backoff **Status**: Completed (already configured) **Technical Task**: Configuration of retry logic with exponential backoff for reliability ### POI2.4: Implement RequestDeduplicator in ObsidianClient **Status**: Completed (already integrated) **Technical Task**: Integration of RequestDeduplicator into ObsidianClient ### POI2.5: Add deduplication for high-frequency operations **Status**: Completed (already wrapped) **Technical Task**: Wrapping of high-frequency operations with deduplication ### POI2.6: Create metrics tracking for deduplication **Status**: Completed (metrics already tracked) **Technical Task**: Implementation of metrics tracking for deduplication effectiveness ### POI2.7: Document configuration file hierarchy **Status**: Completed (docs/CONFIGURATION.md created) **Technical Task**: Documentation of configuration file hierarchy and precedence ### POI2.8: Create config file template and examples **Status**: Completed (template and setup script created) **Technical Task**: Creation of configuration file template and interactive setup script ## MCP Resource Fine Standard (MCP) ### MCP1: View resource metadata for better transparency **User Story**: As an API consumer, I want to see resource size metadata when listing resources, so that I can understand data volume before requesting full content. **Acceptance Criteria**: - Resource listings include optional `size` field in bytes - Size information displayed for both static and dynamic resources - Size estimates provided for generated content (e.g., search results) - Null/undefined size for resources with unknown size - Size metadata cached appropriately with content **Implementation Notes**: - Add size calculation to resource registration - Support size estimation for dynamic resources - Include size in resource listing responses - Cache size metadata with appropriate TTL ### MCP2: Track resource freshness with modification timestamps **User Story**: As a caching-aware user, I want to see lastModified timestamps in resource responses, so that I can make intelligent caching decisions and avoid stale data. **Acceptance Criteria**: - Resource responses include `lastModified` annotation - Timestamps in ISO 8601 format - Dynamic resources show generation timestamp - Static resources track actual modification time - Timestamps preserved through caching layers **Implementation Notes**: - Add lastModified tracking to BaseResourceHandler - Include modification dates in response annotations - Support timestamp propagation through cache layers - Provide modification tracking for vault resources ### MCP3: Receive protocol-compliant error responses **User Story**: As an MCP client developer, I want to receive MCP-specific error codes, so that I can handle errors according to the protocol specification. **Acceptance Criteria**: - Use error code -32002 for "Resource not found" - Use error code -32603 for internal server errors - Include descriptive error messages with codes - Maintain backward compatibility with existing error handling - Log detailed errors while returning protocol-compliant responses **Implementation Notes**: - Extend ResourceErrorHandler to use MCP error codes - Map existing error types to MCP error codes - Preserve error context and suggestions - Update error handling documentation ### MCP4: Access binary vault attachments through resources **User Story**: As a vault user with attachments, I want to access binary files (PDFs, images) through MCP resources, so that I can work with all vault content types. **Acceptance Criteria**: - Support binary content types (PDF, images, etc.) - Detect MIME types automatically for attachments - Return base64-encoded content for binary files - Handle large binary files efficiently - Provide appropriate error messages for unsupported formats **Implementation Notes**: - Note: We already support HTML rendering via format parameter - Check if Obsidian REST API supports binary file access - Implement base64 encoding for binary content if supported - Add MIME type detection for various file formats - Consider streaming for large binary files