Obsidian Elite RAG MCP Server

# Advanced Workflows for Elite Knowledge Management ## 1. Development Workflows ### Code-First Development with Contextual AI #### Workflow: Intelligent Code Architecture ```bash # 1. Initialize project with AI context claude-code --project-context "Phoenix API" \ --include-knowledge "Microservices Architecture" \ --include-knowledge "REST API Best Practices" \ "Design the overall architecture for a scalable user management API" # 2. Generate context-aware code claude-code --context-from-vault \ --project "Phoenix" \ --component "User Authentication" \ "Implement JWT-based authentication with refresh tokens" # 3. Automated documentation creation ./scripts/generate-docs.sh --project "Phoenix" --component "Auth" ``` #### Knowledge-Paired Code Review ```python # scripts/code-review-with-context.py class ContextualCodeReview: def review_with_knowledge(self, code_path: str, pr_description: str): # Get relevant architectural knowledge arch_patterns = self.rag_engine.retrieve("architecture patterns", limit=10) # Get project-specific context project_context = self.get_project_context(code_path) # Get best practices for the technology stack best_practices = self.rag_engine.retrieve(f"{project_context.tech_stack} best practices") # Generate comprehensive review review = self.generate_review( code=code_path, description=pr_description, architecture=arch_patterns, project=project_context, best_practices=best_practices ) # Create review note in Obsidian self.create_review_note(code_path, review) ``` ### Debugging with Historical Context #### Workflow: Root Cause Analysis with Knowledge Graph ```bash # When encountering a bug, trace through similar issues claude-debug --with-context \ --search-similar-issues \ --include-solutions \ --create-knowledge-entry \ "Investigate the intermittent authentication failure in production" # Automatically creates note: 2024-10-26 - Debug: Auth Failure Analysis [Debugging] ``` ## 2. Research and Learning Workflows ### Adaptive Learning System #### Workflow: Personalized Knowledge Acquisition ```python # scripts/adaptive-learning.py class AdaptiveLearningSystem: def create_learning_path(self, topic: str, current_level: str, goal_level: str): # Assess current knowledge current_knowledge = self.assess_knowledge(topic, current_level) # Identify knowledge gaps gaps = self.identify_knowledge_gaps(current_knowledge, goal_level) # Generate personalized learning path learning_path = self.generate_learning_path(gaps, topic) # Create structured learning notes self.create_learning_framework(topic, learning_path) # Set up spaced repetition schedule self.schedule_review_sessions(topic, learning_path) return learning_path ``` #### Cross-Domain Insight Generation ```javascript // scripts/insight-generator.js class CrossDomainInsightGenerator { async generateInsights(concept) { // Find related concepts across domains const domainConnections = await this.findCrossDomainConnections(concept); // Identify patterns and analogies const patterns = this.identifyPatterns(domainConnections); // Generate novel insights through synthesis const insights = await this.synthesizeInsights(patterns, concept); // Create insight note with connections await this.createInsightNote(concept, insights, domainConnections); // Schedule follow-up exploration await this.scheduleExploration(insights); } } ``` ### Research Automation #### Workflow: Automated Literature Review ```python # scripts/research-automation.py class ResearchAutomation: def conduct_literature_review(self, research_question: str): # Define search strategy search_terms = self.expand_search_terms(research_question) # Execute systematic search papers = self.search_academic_databases(search_terms) # Extract key findings and methodologies findings = self.extract_findings(papers) # Identify research gaps and contradictions gaps = self.identify_research_gaps(findings) # Synthesize state-of-the-art knowledge synthesis = self.synthesize_knowledge(findings, gaps) # Create comprehensive research note self.create_research_note(research_question, { papers: papers, findings: findings, gaps: gaps, synthesis: synthesis, future_directions: self.suggest_future_research(gaps) }) ``` ## 3. Strategic Planning Workflows ### Knowledge-Driven Decision Making #### Workflow: Strategic Option Analysis ```bash # For major decisions, gather comprehensive context claude-strategy --with-knowledge-base \ --include-historical-decisions \ --include-industry-context \ --generate-options \ "Decide on the best approach for scaling our infrastructure" # Creates: Strategic Decision Note with options, risks, and recommendations ``` #### Risk Assessment with Historical Patterns ```python # scripts/risk-assessment.py class RiskAssessment: def assess_project_risks(self, project_description: str): # Find similar historical projects similar_projects = self.find_similar_projects(project_description) # Extract risk patterns risk_patterns = self.extract_risk_patterns(similar_projects) # Identify mitigation strategies mitigations = self.find_mitigation_strategies(risk_patterns) # Generate risk assessment matrix risk_matrix = self.create_risk_matrix(risk_patterns, mitigations) # Create risk management plan self.create_risk_note(project_description, risk_matrix) ``` ### Innovation and Ideation #### Workflow: Systematic Innovation ```javascript // scripts/innovation-workflow.js class InnovationWorkflow { async systematicInnovation(domain) { // Map current knowledge landscape const knowledgeMap = await this.mapKnowledgeLandscape(domain); // Identify innovation opportunities const opportunities = await this.identifyOpportunities(knowledgeMap); // Generate concept combinations const combinations = await this.generateCombinations(opportunities); // Evaluate feasibility and impact const evaluations = await this.evaluateConcepts(combinations); // Create innovation pipeline note await this.createInnovationNote(domain, { landscape: knowledgeMap, opportunities: opportunities, concepts: combinations, evaluations: evaluations }); } } ``` ## 4. Content Creation Workflows ### AI-Paired Writing #### Workflow: Research-Backed Content Creation ```bash # Start with research phase claude-research --topic "Advanced RAG Techniques" \ --depth 3 \ --create-outline # Generate content with knowledge integration claude-write --with-research \ --include-examples \ --add-practical-applications \ --template "Technical Article" # Review and enhance with expert knowledge claude-enhance --with-expert-context \ --add-counterarguments \ --strengthen-evidence ``` #### Multi-Format Content Adaptation ```python # scripts/content-adaptation.py class ContentAdapter: def adapt_content(self, source_note: str, target_format: str, audience: str): # Extract core content and structure core_content = self.extract_core_content(source_note) # Adapt for target format adapted_content = self.adapt_for_format(core_content, target_format) # Adjust for audience audience_adjusted = self.adjust_for_audience(adapted_content, audience) # Create new note with adaptations self.create_adapted_note(source_note, target_format, audience_adjusted) # Link back to source self.create_bidirectional_link(source_note, adapted_content) ``` ## 5. Project Management Workflows ### Knowledge-Integrated Project Planning #### Workflow: Comprehensive Project Initiation ```javascript // scripts/project-planning.js class ProjectPlanner { async initiateProject(projectDescription) { // Extract requirements and constraints const requirements = await this.extractRequirements(projectDescription); // Find relevant past projects and lessons learned const historicalContext = await this.findHistoricalContext(requirements); // Identify required skills and knowledge const skillRequirements = await this.identifySkillRequirements(requirements); // Generate project plan with knowledge integration const projectPlan = await this.generateProjectPlan({ description: projectDescription, requirements: requirements, context: historicalContext, skills: skillRequirements }); // Create comprehensive project note await this.createProjectNote(projectPlan); // Set up knowledge tracking for the project await this.setupKnowledgeTracking(projectPlan); } } ``` #### Continuous Learning Integration ```python # scripts/learning-integration.py class ProjectLearningIntegration: def capture_project_learning(self, project_id: str): # Extract lessons learned lessons = self.extract_lessons_learned(project_id) # Identify reusable patterns patterns = self.identify_reusable_patterns(lessons) # Generate best practices best_practices = this.generate_best_practices(lessons, patterns) # Create learning notes self.create_learning_notes(project_id, lessons, patterns, best_practices) # Update organizational knowledge self.update_knowledge_base(best_practices) ``` ## 6. Personal Productivity Workflows ### Intelligent Task Management #### Workflow: Context-Aware Prioritization ```bash # Daily planning with AI context claude-plan --day --with-context \ --include-deadlines \ --include-energy-levels \ --optimize-for-deep-work # Creates: Daily Plan Note with prioritized tasks and context ``` #### Energy and Focus Optimization ```python # scripts/focus-optimization.py class FocusOptimizer: def optimize_daily_schedule(self, energy_profile: Dict, task_list: List): # Match tasks to energy levels optimized_schedule = self.match_tasks_to_energy(energy_profile, task_list) # Identify deep work opportunities deep_work_slots = self.identify_deep_work_slots(optimized_schedule) # Schedule context switching minimization context_optimized = self.minimize_context_switching(optimized_schedule) # Create daily plan note self.create_daily_plan_note(context_optimized, deep_work_slots) ``` ## 7. Knowledge Synthesis Workflows ### Weekly Knowledge Integration #### Workflow: Automated Knowledge Synthesis ```javascript // scripts/knowledge-synthesis.js class KnowledgeSynthesizer { async weeklySynthesis() { // Collect week's new knowledge const newKnowledge = await this.collectWeeklyKnowledge(); // Identify patterns and connections const patterns = await this.identifyPatterns(newKnowledge); // Generate insights and synthesis const insights = await this.generateInsights(patterns); // Update knowledge graph await this.updateKnowledgeGraph(insights); // Create weekly synthesis note await this.createSynthesisNote(newKnowledge, patterns, insights); // Plan next week's learning focus await this.planNextWeek(insights); } } ``` These workflows create a comprehensive system for elite knowledge management, integrating AI assistance with structured knowledge processes to maximize learning, productivity, and innovation.