Debug codifies a disciplined root-cause analysis workflow for software issues. It guides an investigator through evidence collection (code search, logs, GH issues), systematic reasoning (first principles, differential diagnosis), and fix generation (specific code changes and verification steps). The skill provides command templates for rg, gh, git, log analysis, and prompts for AI assistants to synthesise findings.
Use Debug when faced with reproducible bugs, flaky tests, performance regressions, or errors with unclear origins. It's especially valuable in complex codebases where multi-source evidence (code, history, issues, logs) must be combined to find THE root cause rather than surface symptoms.
Designed for agents and engineers that can run shell commands, query GitHub, and call large-model assistants for reasoning. Works well with developer-assistant agents (Gemini/GPT-style) and CLI-integrated automation.
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