Trace software failures to root causes before proposing fixes.
npx skills add https://github.com/AIChuY/ai_workflow --skill systematic-debugging-aichuy
Please help me install this Agent Skill. Skill: systematic-debugging Source: https://github.com/AIChuY/ai_workflow/tree/main/systematic-debugging Command: npx skills add https://github.com/AIChuY/ai_workflow --skill systematic-debugging-aichuy
It helps engineers stop guessing and find the real cause of bugs, flaky tests, and unexpected behavior before changing code.
Use the systematic-debugging skill to investigate this failure from the first error message through root cause, then propose the smallest verified fix.
High-intent search queries and answers about installing and using this skill.
To find the root cause of flaky tests, you must read errors carefully, reproduce the issue, and trace data flow back to the original trigger. This approach compares broken behavior with working examples to test minimal hypotheses before proposing a verified fix.
The best way to debug multi-component failures is evidence-driven investigation. You gather diagnostics across component boundaries, compare broken behavior with working examples, and test one hypothesis at a time to isolate the original trigger before changing code.
To troubleshoot production bugs and performance regressions systematically, start by reading the first error message, gather reproducible evidence, and trace symptoms back to the root cause. This prevents quick fixes from backfiring in complex systems.
You should use systematic debugging for build breaks when quick fixes tend to backfire and the failure spans multiple components. It requires careful error reading and minimal hypothesis testing to drive an evidence-driven investigation before proposing a fix.
Quick fixes for unexpected behavior backfire because they patch symptoms rather than addressing the root cause. By skipping evidence-driven investigation and reproducible data tracing, you fail to isolate the original trigger, leaving the underlying defect intact.
yves-sIdentify root causes of bugs and test failures through structured investigation.
moberghrReproduce failures, localize root causes, and verify fixes with builds and tests.
hungthinh04Identify root causes of software bugs through error analysis and hypothesis testing.
joshua3403Guide engineers through a four-phase root-cause debugging workflow.
