Guide systematic root-cause debugging through symptom collection, code tracing, and hypothesis verification.
npx skills add https://github.com/MFS-code/gstack --skill investigate-mfs-code
Please help me install this Agent Skill. Skill: investigate Source: https://github.com/MFS-code/gstack/tree/main/investigate Command: npx skills add https://github.com/MFS-code/gstack --skill investigate-mfs-code
Debugging often turns into guessing and repeated trial-and-error; this skill instead guides you through systematic root-cause investigation so the eventual fix addresses the underlying reason the bug happened.
Use Case Example: When you see an unexpected runtime error or behavior change after a deployment, use this skill to trace the error back to the exact failing path, identify what changed, and then implement a fix tied to the root cause rather than the symptom.
Use the /investigate command when you need to debug why something broke so you can trace the issue to its root cause and apply a verified fix.
High-intent search queries and answers about installing and using this skill.
Root cause analysis identifies the underlying reason for code failures by collecting symptoms and inspecting relevant paths. This process ensures you fix the actual source of the bug rather than just treating the visible symptom, preventing regressions and unexpected outputs.
Troubleshoot software regressions while preventing scope creep by locking the debug scope to the narrowest affected module. This freeze-safe boundary restricts edits to the specific failing component, ensuring your investigation remains focused and controlled throughout the hypothesis testing process.
Systematically trace a failing workflow to its root cause by following a multi-phase process: collect symptoms, inspect the code path, analyze recent changes, test hypotheses, and verify the behavior. This evidence-backed debugging method confirms the exact failure point before you implement fixes.
Hypothesis testing works effectively for narrowing down common failure patterns like race conditions, null propagation, and config drift. By matching observed symptoms to these known patterns, you can focus your code inspection on the most probable causes and verify your hypothesis before changing code.
You should manually trigger a root cause investigation for troubleshooting only when you explicitly need to debug broken behavior, such as encountering unexpected outputs or errors. Invoking the investigation process manually ensures it activates solely for targeted, evidence-backed debugging without accidental interference.
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shiaho777Diagnose and fix software bugs through a reproducible debugging workflow.
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