debug
Skill4 starsChanged 19 days agoMITView on GitHub
Find the cause of a bug, failing test, crash, unexpected behavior, or performance regression from reproducible evidence, and fix it when asked. Use when asked to debug or diagnose, or when /work routes a bug here.
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
- 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
- nisarth/claude-skills-storetheir 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.
In this repository39 other files it gives its agents.
- AGENTS.mdAGENTS.md
- authoringSkill
- chrome-devtoolsSkill
- gamificationSkill
- imagegenSkill
- improve-architectureSkill
- instructionsSkill
- monorepoSkill
- reverse-engineerSkill
- runbookSkill
- security-reviewSkill
- setup-harnessSkill
- skillsSkill
- unslopSkill
- video-reportSkill
- youtube-transcriptSkill
- code-reviewSkill
- interviewSkill
- prototypeSkill
- researchSkill
- workSkill
- adsenseSkill
- astryxSkill
- cloudflare-cliSkill
- dokploy-best-practicesSkill
- extract-themeSkill
- nextjsSkill
- payload-cmsSkill
- shadersSkill
- swrSkill
- tanstack-querySkill
- tanstack-routerSkill
- tanstack-startSkill
- tanstack-storeSkill
- tauriSkill
- vite-plusSkill
- web-assets-optimizationSkill
- web-extensionSkill
- zodSkill
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 175 edited versions we read keep these.
1
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 58
Remove your temporary probes.
“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 with evidence
Find the cause of the reported failure, not a change that hides it. A request to
diagnose allows inspection only; a request to fix also allows a local fix and its
verification. When /work sent you here, stop at Ready to fix and return the
cause and the proposed fix: /work sizes it, and once the fix may proceed, its
build follows step 3 below. Never deploy, experiment on production, or replay
requests with real side effects without permission, and keep credentials out of
logs and shared output.
1. Reproduce
Record expected versus actual behavior, inputs, environment, and versions. Facts only the reporter holds (what exactly they saw, when, who was affected, what they already did about it) change the next check or the remedy: ask for them in one message, at the latest with your diagnosis, and record the rest as unknown. Never advise an action on the damage, such as a refund, without asking whether it was already done. Then build the smallest check that reaches the real failure: a test, a command, a request, or a browser interaction that asserts the reported outcome. Record its output before changing anything.
- Intermittent: count failures over attempts under controlled conditions (seed, time, ordering) instead of retrying until it passes.
- Performance: fix the metric and workload, and measure repeated baseline runs before profiling.
- No reproduction: reason from traces, logs, and code with explicitly provisional hypotheses, and ask for the smallest missing capture or access.
2. Find the cause
Trace the bad value or state across callers and boundaries, and compare a working case with the failing one. For each plausible cause, state what it predicts and run the cheapest check that could rule it out, changing one thing at a time. Recent changes are leads, not proof; bisect only with a trustworthy good and bad state, in a separate checkout. After a failed experiment, revise the explanation before the next change. When checks stop teaching you anything, report what is ruled out and the evidence still needed instead of stacking speculative patches.
Ready to fix: evidence connects the trigger, the faulty behavior, and the symptom. A diagnosis-only request stops here with the cause and a proposed fix.
3. Fix and verify
- Capture the failure in a regression test before the fix and watch it fail for the right reason. If no automated check is feasible, keep the reproducer and say so.
- Make the smallest fix the evidence supports. Do not mask the failure with sleeps, broad catches, retries, or fallbacks.
- Rerun the regression test, the original scenario, and the project's checks. Compare failure counts or measurements under the same conditions for intermittent and performance problems.
- Remove your temporary probes.
Report the cause and its evidence, the fix, the checks run, and what remains uncertain, distinguishing diagnosed, mitigated, and fixed-and-verified.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

