✅ 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* #####