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enhanced-mcp-tools/docs/archive/PRIORITY_TODO.md
Ryan Malloy 3a13410f57 refactor: Clean up docs/ directory structure 
📚 Documentation Organization:
- Move 9 historical files to docs/archive/ (session summaries, implementation status)
- Keep only 5 current reference docs in docs/ (safety, build, LLM guide)
- Update docs/README.md with clean structure and current status

✨ Clean docs/ Structure:
├── README.md (updated directory index)
├── SACRED_TRUST_SAFETY.md (core safety framework)
├── UV_BUILD_GUIDE.md (build instructions)
├── PACKAGE_READY.md (package info)
├── LLM_TOOL_GUIDE.md (AI assistant reference)
└── archive/ (15 historical implementation docs)

🎯 Result: Professional documentation structure with clear separation
between current reference docs and historical development records.

Ready for Phase 3 with clean, maintainable project organization!
2025-06-23 15:07:42 -06:00

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✅ COMPLETED: Anytime a file listing is returned, set a flag on a file or directory if it's in a git repository

  • Implemented _detect_git_repository() method for robust git detection
  • Enhanced file_list_directory_tree with git repository flags
  • Added file_enhanced_list_directory with automatic git repository detection
  • Enhanced file_tre_directory_tree with git repository flags
  • Added comprehensive git info: repository root, current branch, git type
  • Handles edge cases: worktrees, submodules, bare repositories, detached HEAD
  • All file listing tools now automatically flag git repository status

✅ COMPLETED: Add "git grep" tool, with annotations

  • Implemented comprehensive git_grep tool with intelligent annotations
  • Support for multiple search types: basic, regex, fixed-string, extended-regex
  • Advanced filtering: file patterns, exclude patterns, context lines, case sensitivity
  • Intelligent annotations: file metadata, match analysis, context hints, optimization suggestions
  • Performance metrics and search coverage assessment
  • Support for untracked files and specific git refs
  • Cross-platform compatibility with proper timeout handling
  • Comprehensive error handling and logging integration

✅ COMPLETED: Add "sneller" with hints to how fast it is and how to use it.

  • Implemented comprehensive SnellerAnalytics class with 3 main tools
  • sneller_query: Execute lightning-fast vectorized SQL queries (TBs/second performance)
  • sneller_optimize: Optimize SQL queries for maximum Sneller performance with AVX-512 hints
  • sneller_setup: Set up and configure Sneller for optimal performance
  • Extensive performance hints: 1GB/s/core throughput, AVX-512 vectorization, compression optimization
  • Educational simulation mode when Sneller not available locally
  • Hardware requirements and optimization guidance for maximum speed
  • Integration with bucketed compression and schema-less JSON processing
  • Real-time performance metrics and throughput calculations

✅ COMPLETED: Asciinema - Complete terminal recording and auditing system

  • asciinema_record: Capture terminal sessions with metadata for auditing
  • asciinema_search: Search recordings with comprehensive filtering (date, duration, command, visibility)
  • asciinema_playback: Generate playback URLs and embedding code with customization options
  • asciinema_auth: Authenticate with asciinema.org and manage install ID with markdown response
  • asciinema_upload: Upload recordings to asciinema.org or custom servers with privacy controls
  • asciinema_config: Configure upload destinations and privacy settings
  • Privacy protection: Confirmation required for public uploads with 7-day deletion warning
  • Recording database: In-memory storage with comprehensive metadata and search capabilities
  • Educational simulation: Works without asciinema installed for demonstration purposes
  • Comprehensive markdown generation for easy sharing and documentation

✅ COMPLETED: Add "completion" - Intelligent tool recommendation system

  • ai_recommend_tools: AI-powered tool recommendations based on natural language task descriptions
  • ai_explain_tool: Comprehensive tool explanations with examples and best practices
  • ai_suggest_workflow: Complete multi-step workflow generation for complex tasks
  • Context-aware analysis: Working directory, git repository, project type detection
  • Performance-optimized recommendations: Speed/comprehensive/automation/educational profiles
  • Intelligent task analysis: Primary intent detection, complexity assessment, keyword matching
  • Workflow automation: Semi-automated and fully-automated script generation
  • Success criteria and monitoring suggestions for complex workflows
  • Tool combination suggestions and alternative approach recommendations
  • Confidence scoring and comprehensive explanations for all recommendations

resume using desktop commander mcp to work on /home/rpm/claude/enhanced-mcp-tools

  • use uv to run python commands*