correct
Skill1 starsChanged 16 days agoMITView on GitHub
Investigate and prevent recurring agent mistakes in a repository. Use when asked to find repeated corrections or turn known failure patterns into architecture changes and enforceable checks.
50 other projects use a version of this.
Adopted by
Most recently taken up by
- Yeachan-Heo/oh-my-claude-sisyphustheir own version, first seen Nov 8, 2026
- Loner1024/skillstheir own version, first seen Nov 8, 2026
- maxatwork/skillstheir own version, first seen Nov 8, 2026
- caidanw/skillstheir own version, first seen Nov 8, 2026
- painhardcore/pstacktheir own version, first seen Nov 8, 2026
- Yeachan-Heo/oh-my-claudecodetheir own version, first seen Nov 8, 2026
Used with
Projects with it also use ketchup-video, poteto-help 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.
tristanphvnSkillketchup-video
Catch the user up like /keel:ketchup, with a short silent video of slides for what happened and the waiting calls as text under it. Use for /keel:ketchup-video.
Also in 13 projects that use this
ianclearySkillpoteto-help
Guides users through pstack setup, /poteto-mode, and picking the skill, playbook, or principle for a task. Type /poteto-help with a question.
Also in 14 projects that use this
ianclearySkillprinciple-explain-the-number
Apply before you trust, report, or act on a number you measured: a speedup, a regression, a throughput, a latency, or an eval result. Find what limits it, and rule out that it measured something other than the work you think.
Also in 27 projects that use this
Xia-AtaraxiaSkillbenchmark-checklist
Vets performance measurements for the limiter, tuning, physical limits, errors, repeatability, relevance, and proof that timed work happened. It applies to 'check this benchmark', 'report this speedup', measured regressions, and choosing a library or configuration from numbers. It reports spread and gaps before drawing a conclusion. Not for general testing policy or choosing test oracles - use principle-testing.
Also in 36 projects that use this
instructureSkillketchup
Rebuild context after /clear by analyzing uncommitted changes across Canvas LMS and all plugin repositories
Also in 23 projects that use this
drafaelSkillin-your-own-words
Restate the user's goals and the problem they are trying to solve to check understanding. Manual invocation only; use when the user explicitly invokes in-your-own-words or requests this understanding check. Do not solve the task or rewrite the assistant's last answer.
Also in 23 projects that use this
Other versions50 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 50
- Yeachan-Heo/oh-my-claude-sisyphus★ 41ksame name
- Yeachan-Heo/oh-my-claudecode★ 41ksame name
- backnotprop/pstack★ 3.8ksame name
- moeru-ai/xsai★ 667same name
- savannahfeder/agentbox★ 376same name
- jtaroreh/agystack★ 128same name
- uzairansaruzi/p3-stack★ 126same name
- dsebban/skills★ 71same name
- TheOnlyFusionCube/potetos-for-everyone★ 21same name
- creedants/pstack-t3★ 18same name
40 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 repository57 other files it gives its agents.
- AGENTS.mdAGENTS.md
- agent-loginSkill
- animateSkill
- app-intentsSkill
- app-store-connectSkill
- architectSkill
- arenaSkill
- blast-radiusSkill
- codebase-designSkill
- code-qualitySkill
- diagnosing-bugsSkill
- domain-modelingSkill
- eli5Skill
- engineering-principlesSkill
- gauntlet-loopSkill
- gh-stackSkill
- goal-swarmSkill
- grillingSkill
- grill-with-docsSkill
- handoffSkill
- howSkill
- improve-codebase-architectureSkill
- ios-hapticsSkill
- koubouSkill
- mergeSkill
- orchestrationSkill
- prototypeSkill
- prSkill
- react-best-practicesSkill
- react-doctorSkill
- reframeSkill
- repo-cleanupSkill
- researchSkill
- retroSkill
- review-fix-loopSkill
- reviewSkill
- review-sweepSkill
- seoSkill
- setup-sreestackSkill
- show-dont-tellSkill
- showroomSkill
- snipsnap-do-choresSkill
- snip-snapSkill
- swift-testing-modernizationSkill
- swiftuiSkill
- tddSkill
- to-specSkill
- to-ticketsSkill
- triageSkill
- ui-designSkill
- uikitSkill
- verifySkill
- wayfinderSkill
- web-component-inspirationSkill
- whySkill
- writing-for-agentsSkill
- xcode-security-auditSkill
The file
We split this skill into the rules it gives an agent
5 rules. 0 are common, 5 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 16 edited versions we read keep these.
5
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 21
Start with the supplied examples.
- Distinctive: line 35
Keep observed facts separate from inferred causes.
- Distinctive: line 47
Use the experiment evidence to decide routine technical questions within the requested scope.
- Distinctive: line 70
Use orchestration for bounded assignments and review-fix-loop for behavior or procedure changes.
- Distinctive: line 72
Use verify when the repair changes a user workflow.
“Common” is measured: kept by at least 6 in 10 of the 16 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
Correct
Own recurring failure prevention: connect actual mistakes to a repair that prevents the same failure mechanism. Use Engineering Principles for design decisions and enforcement selection, and the shared guard proof for historical rejection and repaired-path success.
Establish the evidence
Honor the requested repository, area, history window, and finish line. A request for a plan ends with a supported plan; a request to fix recurring mistakes includes implementation and verification within that scope.
Start with the supplied examples. Otherwise choose and report a bounded recent history window, then inspect commits, reverts, substantive review feedback, and instructions or comments that explain past failures. Follow promising records to their actual diffs. When conversations could explain a correction, use scoped T3 thread search/read or available local session logs. Report searched sources, coverage limits, and unavailable records; bounded search is not exhaustive recall.
Group examples by failure mechanism. Count separate occurrences, not several records of one incident. Cite at least two occurrences before calling a class recurring. Keep single incidents and suspected risks distinct. Check current code and enforcement: an old mistake that is already prevented is evidence of a resolved class, not a reason to rebuild its guard.
Rank the live classes by observed frequency, impact, and current exposure. Keep observed facts separate from inferred causes. Finish this step with cited examples, a current path that still permits each failure, and the limits of the search. If no recurring class is supported, say so rather than inventing one.
Choose and test the repair
For each class worth addressing, identify the invariant and its owner. Apply Encode Lessons in Structure and explain why a higher-level repair would not help or would cost too much.
Resolve technical uncertainty with focused architecture experiments. Use the experiment evidence to decide routine technical questions within the requested scope.
Return a prioritized plan connecting each class to:
- Its occurrences, frequency, impact, and current exposure.
- The invariant, owner, proposed repair, and enforcement mechanism.
- The historical failing case and repaired path that will prove the guard.
- Experiment results, tradeoffs, affected callers, migration steps, and checks.
Label proposed proof separately from checks already run. Include reproduction commands and artifact paths for experiments, and name unresolved facts with the next check that would settle them. Keep the plan in chat unless the user or project requests another destination. No permanent rule table is required.
Implement within the requested finish line
For a planning request, hand back the evidence and recommendation for review. For an authorized repair, migrate the affected callers and examples, implement the guard, and prove historical rejection and repaired-path success using the shared guidance. Verify legitimate supported paths too; narrowing the accepted behavior to hide the failure is not prevention.
Use orchestration for bounded assignments and review-fix-loop for behavior or procedure changes. Use verify when the repair changes a user workflow. Requested stacked delivery uses gh-stack; explicitly requested goal or swarm execution uses goal-swarm. The requested finish line governs PR publication and merging.
Report each class as planned, prevented, partly covered, resolved already, or deferred, with its evidence, checks, and remaining exposure. Planning is complete when the recommendations have traceable evidence and a usable migration/proof plan. Implementation is complete when the selected repairs and checks pass, required review is settled, and remaining classes have explicit dispositions.
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