ia-debugging
SolidSystematic root-cause debugging with verification. Use for errors, stack traces, broken tests, flaky tests, regressions, or anything not working as expected. For validating bug reports before fixing, use bug-reproduction-validator agent.
Install
Quality Score: 85/100
Skill Content
Details
- Author
- iliaal
- Repository
- iliaal/whetstone
- Created
- 6 months ago
- Last Updated
- 3 days ago
- Language
- Python
- License
- MIT
Integrates with
Bundled in these plugins
Similar Skills
Semantically similar based on skill content — not just same category
debugging
Systematic root-cause debugging with verification. Use for errors, stack traces, broken tests, flaky tests, regressions, or anything not working as expected. For validating bug reports before fixing, use bug-reproduction-validator agent.
debugging
Systematic root-cause debugging: reproduce, investigate, hypothesize, fix with verification. Use when asked to "debug this", "fix this bug", "why is this failing", "troubleshoot", or mentions errors, stack traces, broken tests, flaky tests, regressions, or unexpected behavior.
systematic-debugging
Use when encountering any bug, test failure, or unexpected behaviour, BEFORE proposing fixes. Four-phase root-cause workflow with an Iron Law — no fixes without root cause investigation first. Merges patterns from Jesse Vincent's Superpowers (obra/superpowers) and Garry Tan's gstack (garrytan/gstack).