debug
Skill0 starsChanged 4 months agoMITView on GitHub
Systematic debugging loop. Load when any command/test fails twice, output surprises, or Midas thrash nudge fires. Replaces retry-guessing.
192 other projects use a version of this.
Adopted by
Most recently taken up by
- PeanutGT/NutsSkillstheir own version, first seen Nov 8, 2026
- jskswamy/skillstheir own version, first seen Nov 8, 2026
- Firzus/agent-skillstheir own version, first seen Nov 8, 2026
- domengabrovsek/agent-configtheir own version, first seen Nov 8, 2026
- domengabrovsek/claudetheir own version, first seen Nov 8, 2026
- microsoft/veronatheir own version, first seen Nov 8, 2026
Used with
Projects with it also use add-discord, add-slack and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
MicrosoftSkilladd-discord
Add Discord bot channel integration via Chat SDK.
Also in 11 projects that use this
MicrosoftSkilladd-slack
Add Slack channel integration via Chat SDK.
Also in 11 projects that use this
- +10 more from microsoft
Other versions192 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 192
- Yeachan-Heo/oh-my-claude-sisyphus★ 41ksame name
- Yeachan-Heo/oh-my-claudecode★ 41ksame name
- anthropics/knowledge-work-plugins★ 35ksame name
- gavrielc/nanoclaw★ 31ksame name
- nanocoai/nanoclaw★ 31ksame name
- qwibitai/nanoclaw★ 31ksame name
- openai/symphony★ 27ksame name
- FalkorDB/FalkorDB★ 10ksame name
- NVIDIA/TensorRT-Model-Optimizer★ 5.6ksame name
- NVIDIA/Model-Optimizer★ 5.6ksame name
182 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 175 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 18
No shotgun edits (changing several suspects at once).
- Distinctive: line 19
No retrying identical command hoping different result.
“Common” is measured: kept by at least 6 in 10 of the 175 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Debug
Loop (max 4 iterations, then report honestly):
- Reproduce — one command that shows failure. No repro = no debugging, find repro first.
- Read error verbatim — quote exact message. First actionable error only; downstream errors are noise.
- Locate — grep the failing symbol/file/line from the error. Read narrow around it.
- Hypothesize — ONE sentence: "fails because X". No hypothesis = gather more data (add print/log, read caller), don't edit.
- Test hypothesis — single smallest change. Never two changes at once — can't attribute result.
- Verify — rerun repro. Fixed: remove debug artifacts, done. Not fixed: hypothesis wrong, revert change, back to 2 with new data.
Bans:
- No shotgun edits (changing several suspects at once).
- No retrying identical command hoping different result.
- No "fix" that silences error without explaining original cause.
- 4 failed loops: report exact command, error, hypotheses tried, current state. Honest stuck beats fake progress.
- Stuck report done? Record: midas-lesson "X fails:
<cause>" — persists across sessions.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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