find-rc
Skill1 starsChanged 7 days agoMITView on GitHub
Finds root cause through reproducible evidence. Use when user reports bug, failure, regression, or unexpected slowness.
In this repository17 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- breakdownSkill
- find-rcSkill
- rubberduckSkill
- specSkill
- terseSkill
- breakdownSkill
- breakdownSkill
- find-rcSkill
- rubberduckSkill
- specSkill
- terseSkill
- mobile-web-fixesSkill
- rubberduckSkill
- specSkill
- terseSkill
The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 4 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
Distinctive · estimate
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 11
Run command; show invocation + actual failure.
- Distinctive: line 14
Search every caller of affected shared function.
- Distinctive: line 15
Remove tagged instrumentation and temporary harnesses unless retained as explicit regression.
- Distinctive: line 17
After fix, recommend prevention.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Find root cause
Short evidence, no emojis. Read relevant context.md, Language.md, ADRs. Redact secrets from fixtures/logs. Inspect code to construct repro; no speculative fix before failing loop.
- Build fast agent-runnable command asserting user's exact symptom. Prefer existing test; else HTTP/CLI/browser replay or minimal harness. Pin inputs/time/randomness. Flaky bug: measure elevated repro rate and run enough trials. Human-only trigger: explicit repeatable steps + recorded verdict.
- Run command; show invocation + actual failure. Wrong symptom invalid. No runnable loop: list attempts, request missing access/artifact; stop hypotheses. Production instrumentation needs authorisation.
- Minimise one input/step at time; rerun. Remaining pieces must explain failure. State justified limitation if further reduction impossible.
- List ranked falsifiable hypotheses + predicted observations. Usually 3; fewer only with evidence ruling alternatives out. Show user, proceed unless new evidence changes ranking. One-variable probes; debugger first, targeted uniquely tagged logs second. No log-everything. Performance: baseline + profiler/timing + controlled comparison, measure before fix.
- Search every caller of affected shared function. Correct seam must reproduce real caller pattern. Turn minimal repro into regression before fix; watch red. No suitable seam: document architecture limitation, retain runnable harness. Fix root cause once; watch green. Rerun original unreduced scenario + relevant checks.
- Remove tagged instrumentation and temporary harnesses unless retained as explicit regression. Report cause, evidence, changed behaviour, limits. Never claim live proof from local tests.
After fix, recommend prevention; consequential architecture tradeoff merits ADR and scoped small-model review, e.g. Luna/Haiku if available. Spawn only when authorised. Never skip validation to save tokens.
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.

