Guide evidence collection, hypothesis testing, and verification for software debugging.
npx skills add https://github.com/hhellbusch/my-ai-workspace --skill debug-hhellbusch
Please help me install this Agent Skill. Skill: debug Source: https://github.com/hhellbusch/my-ai-workspace/tree/main/.agents/skills/debug Command: npx skills add https://github.com/hhellbusch/my-ai-workspace --skill debug-hhellbusch
This Skill provides a structured approach for in-depth debugging of complex problems, guiding systematic investigation and evidence gathering.
Run the debugging skill when encountering persistent, hard-to-reproduce bugs, and follow the guided protocols to identify the true root causes.
High-intent search queries and answers about installing and using this skill.
Systematic root cause analysis is a structured debugging method that guides evidence collection, hypothesis formation, testing, and verification to accurately identify the true origins of complex software issues across codebases and environments.
To debug hard-to-reproduce bugs systematically, follow guided investigation protocols that enforce evidence collection, form targeted hypotheses, test variables methodically, and verify the root cause before applying a permanent fix.
Yes, this structured debugging method applies across diverse codebases and environments by detecting domain-specific knowledge requirements and loading relevant contextual expertise to guide targeted investigation.
The best way to investigate complex software issues without guessing is to apply scientific root cause analysis principles, relying on disciplined evidence collection and hypothesis testing rather than trial-and-error assumptions.
You should use a systematic debugging workflow when encountering persistent, complex bugs where standard troubleshooting fails, requiring structured evidence collection and hypothesis verification to pinpoint the actual root cause.
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