cleanup
Skill9 starsChanged 2 months agoApache-2.0View on GitHub
refactor to reduce unneeded complexity
71 other projects use a version of this.
Adopted by
Most recently taken up by
- udecode/better-convextheir own version, first seen Nov 9, 2026
- fynnhaupt/skillstheir own version, first seen Nov 8, 2026
- VforVal/lumberjacktheir own version, first seen Nov 8, 2026
- LeonardiFranco/skillstheir own version, first seen Nov 8, 2026
- frnkgns/Overgeared-Skillstheir own version, first seen Nov 8, 2026
- Integralist/agent-skillstheir own version, first seen Nov 6, 2026
Used with
Projects with it also use chips, react-query-best-practices 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.
udecodeSkillchips
Run the project's suggested-task ledger, the chips. /chips alone brings this session's open tasks up to date: it applies what the ledger helper says, settles stale and split tasks, cards what can start and reports the board, and /chips all also takes the ship-list tasks and the ones no live session owns, and merges duplicate tasks across the board. Use for /chips, /chips offer, start or drop, \"what chips are open\", \"suggest a task for X\", \"update the chips\", \"clean up the chips\", \"which chips are stale\", \"is this chip still worth doing\", \"merge duplicate chips\", at the last hand-back of a run that offered a task, and whenever pstack would file a tracked issue, a follow-up, a reflect Backlog item or an out-of-band PR.
Also in 3 projects that use this
bibektimilsina00Skillreact-query-best-practices
Audit and fix React Query usage in apps/web — enforce query key factories, signal forwarding, staleTime, and proper mutation patterns. Use when reviewing or fixing server-state code.
Also in 3 projects that use this
bibektimilsina00Skillyou-might-not-need-a-callback
Analyze and fix useCallback anti-patterns in your code
Also in 3 projects that use this
Scylla23Skillredo
Re-run the last routed task one model tier up (haiku → sonnet → opus → fable). User-invoked escalation when the previous result missed. Pass --dry-run to preview without running.
Also in 3 projects that use this
Aetheria-Labs1Skillplan-page
Plan one storefront page from strategy through final copy, section order, proof, offers, template direction, responsive layout, and production asset requirements. Stops at an approved execution-ready specification.
Also in 3 projects that use this
SocialKit-APISkillvideo-transcripts
Extract transcripts from social videos through SocialKit across YouTube, TikTok, Instagram, Facebook, X/Twitter, LinkedIn, and direct video file URLs. Use when the user asks to transcribe, get captions or subtitles, pull the spoken text, or read what a video says, including one video or many at once. Returns full text plus timestamped segments. Not for posting, private accounts, or unrelated website scraping.
Also in 3 projects that use this
- +3 more from bibektimilsina00
Other versions71 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 71
- simstudioai/sim★ 30ksame name
- pipecat-ai/pipecat★ 17ksame name
- udecode/plate★ 17ksame name
- civitai/civitai★ 7.3ksame name
- mampfes/hacs_waste_collection_schedule★ 2.3ksame name
- trycompai/comp★ 2.1ksame name
- udecode/dotai★ 1.2ksame name
- LedgerHQ/ledger-live★ 627same name
- ericboy0224/learn-docker-and-k8s★ 472same name
- udecode/better-convex★ 452same name
61 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 repository60 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- check-for-updatesSkill
- api-designSkill
- bddSkill
- blueprintSkill
- brainstormingSkill
- browser-usageSkill
- clarify-codeSkill
- codebase-designSkill
- code-contractsSkill
- code-reviewSkill
- commitSkill
- confluence-exportSkill
- database-proSkill
- datadogSkill
- diagnosing-bugsSkill
- diagram-designSkill
- e2e-testSkill
- explain-code-flowSkill
- explain-simplySkill
- frontend-slidesSkill
- glabSkill
- grill-meSkill
- handoffSkill
- herdrSkill
- i-have-adhdSkill
- impeccableSkill
- implementSkill
- improve-codebase-architectureSkill
- jiraSkill
- loomSkill
- markitdownSkill
- mermaid-skillSkill
- modularity-designSkill
- modularity-reviewSkill
- plannotatorSkill
- ponytailSkill
- prototypeSkill
- qmdSkill
- refactorSkill
- releaseSkill
- researchSkill
- security-reviewSkill
- show-meSkill
- skill-doctorSkill
- stop-the-slopSkill
- tddSkill
- teachSkill
- terraform-engineerSkill
- ticket-overviewSkill
- to-specSkill
- to-ticketsSkill
- update-docstringsSkill
- wayfinderSkill
- write-documentationSkill
- write-readmeSkill
- write-simplySkill
- writing-for-agentsSkill
- wtfSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 3 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 61 edited versions we read keep these.
3
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 8
Look over the current diff (or the whole codebase if there is no current change, or whatever the user said) and look for:
- Distinctive: line 23
After fixing your findings, look over the code again: now that we have done that cleanup, are there any other cleanups available?
- Distinctive: line 27
After being done completely print codesnippets of what you cleaned by saying before and then a codesnippet of before and after with hte …
“Common” is measured: kept by at least 6 in 10 of the 61 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
You are a lazy senior developer. Lazy means efficient, not careless. You have seen every over-engineered codebase and been paged at 3am for one. You have one mentality: the best code is the code never written, but the code was made by a junior engineer who doesn't have the same mentality so you are going to fix it.
Look over the current diff (or the whole codebase if there is no current change, or whatever the user said) and look for:
- A new implementation for something that could have reused existing code
- Any transformations or indexes that are redundant with data structures or relationships already known earlier in the whole-program data flow.
- Any backwards-compatibility shims, unnecessary defensive code, or unnecessary deduplication
- For any deduplication added in this change, ask yourself: could these objects have arrived here inherently deduplicated?
- dead code, unused flexibility, speculative feature. Replacement: nothing.
stdlib:hand-rolled thing the standard library ships. Name the function.native:a dependency or code doing what the platform already does. Name the feature.shrink:same logic, fewer lines. Show the shorter form.type:random functions that can be part of a real class
Print out your findings, if any. Then, fix any findings you found.
After fixing your findings, look over the code again: now that we have done that cleanup, are there any other cleanups available? Print out your new findings. Then fix them.
Continue to do that in a loop (look over the code again, find any new cleanups that are visible now that you've fixed the last ones, print them out, and fix them if you find any) until you find no more cleanups to do upon reinspection.
After being done completely print codesnippets of what you cleaned by saying before and then a codesnippet of before and after with hte codesnippet of after.
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.

