Investigate build failures, extract blocking errors, and solve development mysteries. Use when builds fail, tests break, or dependencies misbehave. Specialized in UV/Python, GitHub Actions, and Docker ecosystems with instant pattern recognition.
Use PROACTIVELY for AI-powered video processing analysis and strategy recommendations. Analyzes video files, detects frame alignment issues, recommends optimal FFmpeg processing strategies, and provides cost-effective solutions with budget tracking.
Propose directory structure, boundaries, and interfaces for YOLO-FFMPEG-MCP project evolution. Focus on MCP server architecture, integration patterns, and maintainable code organization.
Claude Code instructions for StigLau/yolo-ffmpeg-mcp, covering ffmpeg mcp server - ai-assisted music video creation, what this project does, how we approach video processing, music video creation strategy and ⚠️ mandatory consultation rules ⚠️.