Wireshark MCP Server

## 🚀 UNIFIED IMPLEMENTATION COMMAND 10X *Consolidated Implementation Preserving Full Depth of Specification and Implementation Commands* **Claude, execute UNIFIED IMPLEMENTATION with COMPLETE SPECIFICATION, DEVELOPMENT, TESTING, and DOCUMENTATION capabilities.** ### 🎯 **EXECUTION MODES** (Full Original Functionality) **Feature Specification Only** (Full create_feature_spec_10x): ```bash /implement_10x --spec "[feature_name]" ``` - Complete parameter detection - All intelligence gathering phases - Full specification creation - Complete output generation **Feature Implementation** (Full dev:implement_feature_10x): ```bash /implement_10x --feature "[feature_name]" --implement ``` - Market-informed research - Intelligence-driven planning - Research-backed implementation - Auto-documentation and git workflow **Full Feature Workflow** (Spec + Implement + Test + Doc): ```bash /implement_10x --feature "[feature_name]" --full ``` **Performance Optimization** (Full optimize_performance_10x): ```bash /implement_10x --optimize "[component]" ``` - All optimization research - Performance benchmarking - Implementation with monitoring ### 🔥 **COMPLETE UNIFIED WORKFLOW** (All Depth Preserved) ### **Phase 1: Feature Specification** (Full create_feature_spec_10x) **1.0 Parameter Detection** ```yaml Automatic Detection: - [feature_name]: From user input or context - [feature_type]: Category analysis - [tech_stack]: From project files - [framework]: From dependencies - [domain]: From project context - [top_competitors]: From market research ``` **1.1 Market & Technical Intelligence** (PARALLEL SUB-AGENT RESEARCH) ```yaml EXECUTE ALL RESEARCH IN PARALLEL - Launch 5 Specialized Sub-Agents: Historical Context Agent: - /intelligence:retrieve_conversation_context_10x --patterns --topic "feature specifications" Competitive Analysis Agent: - smart_research_and_document_10x: Feature specification patterns - cached_websearch_10x: Competitor implementation patterns - cached_websearch_10x: "[top_competitors] [feature_type] implementation 2024" - github: Similar features in top-starred projects Technical Research Agent: - smart_research_and_document_10x: Technical specifications - context7: API documentation and standards - cached_websearch_10x: Technical methodologies - fetch: Technical architecture guides UX & Requirements Agent: - smart_research_and_document_10x: UX research - cached_websearch_10x: Business requirements templates - context7: Design system documentation - cached_websearch_10x: "best [feature_type] UX patterns 2024" Performance & Security Agent: - cached_websearch_10x: "[feature_type] performance benchmarks" - github: Security implementations for similar features - fetch: Performance optimization guides - predictive-analytics: Forecast performance bottlenecks and risks - ml-testing-qa: Predict bug probability for the feature CRITICAL PARALLEL DIRECTIVE: "You have the capability to call multiple tools in a single response. Launch ALL 5 research agents SIMULTANEOUSLY for maximum efficiency. Each agent should explore its domain INDEPENDENTLY and IN PARALLEL." ``` **1.2 Specification Creation** (Complete Output) ```yaml Requirements Generation: - Business requirements with market positioning - Functional requirements exceeding standards - Non-functional requirements benchmarks - User stories with acceptance criteria - Technical architecture requirements Specification Documents: - Instructions/features/[feature]_specification_[timestamp].md - Instructions/development/[feature]_technical_requirements_[timestamp].md - Instructions/testing/[feature]_user_stories_[timestamp].md - Instructions/development/[feature]_api_specification_[timestamp].md - Instructions/development/[feature]_implementation_guide_[timestamp].md Knowledge Integration: - Knowledge/patterns/[feature_type]_specification_patterns_[timestamp].md - Knowledge/intelligence/[feature]_competitive_analysis_[timestamp].md - Knowledge/intelligence/[feature]_requirements_research_[timestamp].md ``` ### **Phase 2: Implementation** (Full dev:implement_feature_10x) **2.1 ML-Enhanced Market Research** (MASSIVE PARALLEL INTELLIGENCE) ```yaml LAUNCH 9 PARALLEL SUB-AGENTS FOR COMPREHENSIVE INTELLIGENCE: ML Intelligence Agents (3 CONCURRENT): Agent 1 - Pattern Discovery: - 10x-knowledge-graph MCP: Related concepts and patterns - qdrant: Vector search for similar implementations Agent 2 - Context & Memory: - context-aware-memory MCP: Predictive pattern loading - meilisearch: Full-text knowledge search Agent 3 - Code & Analytics: - ml-code-intelligence MCP: Code quality benchmarks - 10x-command-analytics MCP: Optimal workflow patterns Market Research Agents (3 CONCURRENT): Agent 4 - Competitor Analysis: - cached_websearch_10x: "[competitors] [feature] implementation analysis" - cached_websearch_10x: "[feature] market leaders 2024" Agent 5 - Best Practices: - gpt-researcher: Industry best practices research - cached_websearch_10x: "[tech_stack] [feature] best practices" Agent 6 - Open Source Intelligence: - github: Top 10 highest-starred similar features - github: Recent trending implementations Technical Deep Dive Agents (3 CONCURRENT): Agent 7 - Performance Research: - cached_websearch_10x: "[feature] performance optimization techniques" - fetch: Performance benchmarking guides Agent 8 - Security Research: - cached_websearch_10x: "[feature] security vulnerabilities patterns" - github: Security-focused implementations Agent 9 - Architecture Research: - fetch: Scalable architecture patterns - context7: Framework-specific best practices SYNCHRONIZATION: Aggregate all intelligence before planning phase CRITICAL: "Execute ALL 9 agents IN PARALLEL. This is a MASSIVELY PARALLEL intelligence gathering operation. Do NOT run these sequentially." ``` **2.2 Intelligence-Driven Planning** ```yaml Complete Planning: - Market positioning vs competitors - Performance targets from benchmarks - Security patterns from threat intelligence - Testing strategy with coverage goals - Documentation requirements ``` **2.3 Research-Backed Implementation** ```yaml ML-Enhanced Development: - ml-code-intelligence MCP: Real-time quality assessment - 10x-workflow-optimizer MCP: Workflow optimization - Test-first development with patterns - Implementation with proven code patterns - Performance optimization techniques - Security hardening with latest patterns - context-aware-memory MCP: Pattern storage ``` ### **Phase 3: Comprehensive Integration** (All Commands) **3.1 Documentation Generation** ```yaml Automatic Documentation (PARALLEL EXECUTION): - /docs:generate_docs_10x execution - /docs:granular_10x --scope function --target "new_functions" --ml-enhance auto-categorize - /docs:granular_10x --scope file --target "[changed_files]" --depth api - Technical documentation with API specs - User documentation with guides - Developer documentation with patterns - Testing documentation with strategies - Deployment documentation with configs ML Data Generation: - Structured JSON for every new function - Vector embeddings for semantic search - Concept extraction for knowledge graph - Pattern recognition for future reuse ``` **3.2 Git Workflow** ```yaml Smart Commit: - /git:smart_commit_10x execution - Feature summary with benefits - Documentation references - Implementation details - Testing coverage metrics - Performance achievements - Security considerations ``` **3.3 Session Capture** ```yaml Knowledge Preservation: - /intelligence:capture_session_history_10x - Implementation patterns storage - Technical decisions documentation - Performance metrics capture - Learning insights extraction ``` ### **Phase 4: Performance Optimization** (When --optimize) **4.1 Performance Intelligence** ```yaml Research Phase: - cached_websearch_10x: Performance best practices - github: Optimization patterns - fetch: Benchmarking guides - memory: Previous optimizations ``` **4.2 Implementation** ```yaml Optimization Execution: - Profiling and analysis - Pattern-based optimization - Benchmark validation - Monitoring integration ``` ### 🚀 **PRESERVED FEATURES** **All Thinking Modes:** - "think hard" - Intelligence gathering - "think harder" - Implementation planning - "ultrathink" - Specification creation **Complete MCP Orchestration:** - All original MCP calls preserved - Mode-specific sequences maintained - Full ecosystem utilization **All Success Criteria:** - Market-validated requirements - Research-backed architecture - Performance optimization - Security hardening - Comprehensive testing - Auto-generated documentation - Pattern storage in memory - Intelligent git commits ### 📊 **COMMAND CONSOLIDATION** ```yaml Replaces: /create_feature_spec_10x → /implement_10x --spec /dev:implement_feature_10x → /implement_10x --feature --implement /dev:optimize_performance_10x → /implement_10x --optimize Preserves: - 100% of original functionality - All output files and formats - Complete workflow depth - All intelligence gathering ``` ### 📈 **ENHANCED BENEFITS** - **No functionality lost** - All capabilities preserved - **Unified interface** - Single command with modes - **Workflow flexibility** - Spec-only, implement-only, or full - **Reduced redundancy** - Shared intelligence gathering - **Better integration** - Automatic command chaining **EXECUTE**: Unified implementation preserving all original command depth and capabilities!