Troubleshooting

This skill teaches systematic debugging techniques using the scientific method approach. It covers debugging tools and techniques for JavaScript/TypeScript, Python, and Go, including profiler usage, memory leak detection, binary search debugging with git bisect, and best practices for tracking down elusive bugs in any codebase.

This skill automatically captures solved problems as structured documentation immediately after confirmation. It validates metadata against a YAML schema, organizes solutions by problem type (build errors, performance issues, etc.), and builds a searchable knowledge base with cross-references between related issues.

Deep analysis debugging mode for complex issues. Activates methodical investigation protocol with evidence gathering, hypothesis testing, and rigorous verification. Use when standard troubleshooting fails or when issues require systematic root cause analysis.

A comprehensive reference guide for Makepad UI framework developers. It provides troubleshooting solutions for common compilation errors, runtime issues, borrow checker conflicts, and shader problems, along with code quality guidelines that respect Makepad-specific patterns that should not be refactored.

This skill provides troubleshooting guides and setup instructions for configuring ccproxy and LiteLLM proxy integration. It helps users resolve common connection issues, configure environment variables, and verify proxy health without any executable code.

A debugging methodology skill that applies scientific investigation principles through natural conversation. It guides users through systematic bug diagnosis including hypothesis formation, evidence gathering, root cause analysis, and fix verification while maintaining user control over the investigation direction.