code-simplifier
Skill248 starsChanged 4 months agoMITView on GitHub
Simplify existing code for clarity and maintainability without changing behavior. Use when asked to clean up or simplify code, especially recent changes.
59 other projects use a version of this.
Adopted by
Most recently taken up by
- euxx/claude-skills-for-copilottheir own version, first seen Nov 8, 2026
- aktsmm/Agent-Skillstheir own version, first seen Nov 8, 2026
- ValorVie/custom-skillstheir own version, first seen Nov 8, 2026
- ZhouYinLong-lab/Dog-Skillstheir own version, first seen Nov 8, 2026
- simonwong/skillstheir own version, first seen Nov 6, 2026
- islandhopper81/claude-skillstheir own version, first seen Nov 1, 2026
Used with
Projects with it also use tdd-rust, type-design-analyzer 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.
FlorianBruniauxSkilltdd-rust
Also in 3 projects that use this
PaulKinlanSkilltype-design-analyzer
Analyzes type design quality focusing on encapsulation, invariant expression, usefulness, and enforcement. Provides quantitative ratings (1-10) for each dimension.
Also in 3 projects that use this
PaulKinlanSkillcomment-analyzer
Analyzes code comments for accuracy, completeness, and long-term maintainability. Identifies misleading comments, comment rot, and documentation gaps.
Also in 4 projects that use this
ufodev-ioSkillsecurity-guardian
Comprehensive security layer for all interactions with Claude: audits code, dependencies, commands, configs, and AI-generated output for vulnerabilities. Protects against prompt injection, data leaks, unsafe advice, and social engineering. Works in Cursor, Claude Code, claude.ai, and API contexts. Use always as a background security protocol in any Claude-powered environment.
Also in 3 projects that use this
SentrySkillfind-bugs
Find bugs, security vulnerabilities, and code quality issues in local branch changes. Use when asked to review changes, find bugs, security review, or audit code on the current branch.
Also in 3 projects that use this
tossSkillpr-triage
Classify and summarize a PR for efficient review
Also in 3 projects that use this
- +1 more from PaulKinlan
Other versions59 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 59
- rtk-ai/rtk★ 86ksame name
- tisfeng/Easydict★ 15ksame name
- elie222/inbox-zero★ 13ksame name
- getsentry/skills★ 1.1ksame name
- Azure/azqr★ 799same name
- DoubleML/doubleml-for-py★ 798same name
- deadlock-mod-manager/deadlock-mod-manager★ 584same name
- microsoft/ghqr★ 528same name
- wesm/middleman★ 198same name
- OpenHands/extensions★ 167same name
49 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 repository12 other files it gives its agents.
- AGENTS.mdAGENTS.md
- brainstormingSkill
- claude-skillSkill
- deep-researchSkill
- github-fix-issueSkill
- github-review-prSkill
- gpt-image-skillSkill
- grill-meSkill
- handoffSkill
- minimax-image-skillSkill
- nanobanana-skillSkill
- youtube-transcribe-skillSkill
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 54 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 14
Follow applicable project guidance, such as AGENTS.md or CLAUDE.md, and the conventions in nearby code.
- Distinctive: line 21
Prefer explicit branches over nested ternaries or dense one-liners when they obscure the logic.
“Common” is measured: kept by at least 6 in 10 of the 54 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
Code Simplifier
Make code easier to understand and maintain without changing what it does. Prefer readable, explicit code over compact or clever rewrites.
Scope and conventions
Use the user's named files or diff. Otherwise, focus on code touched in the current task or clearly identified recent changes; ask for a target if none is evident. Inspect surrounding code as needed without turning a local cleanup into a repository-wide refactor. For review-only requests, propose changes without editing.
Follow applicable project guidance, such as AGENTS.md or CLAUDE.md, and the conventions in nearby code. Derive import style, function syntax, type annotations, framework patterns, and error handling from that project rather than imposing a different style.
Refinement criteria
- Preserve observable behavior, including public interfaces, outputs, errors, side effects, and evaluation order. Treat bug fixes or behavior changes as separate work unless requested.
- Reduce unnecessary nesting, duplication, and indirection where doing so makes the logic easier to follow. Keep helpful abstractions and separate unrelated concerns.
- Improve names and remove comments that merely restate the code; retain comments that explain intent or non-obvious constraints.
- Prefer explicit branches over nested ternaries or dense one-liners when they obscure the logic. Fewer lines alone is not an improvement.
Completion
Finish the scoped cleanup and validate it using checks appropriate to the change and the repository's requirements. For non-obvious rewrites, check relevant edge cases against the original behavior. If behavioral equivalence remains unclear, retain the original form and explain the limitation.
Report significant refinements, checks run, and any remaining validation gaps. If no worthwhile simplification is found, say so without manufacturing edits.
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.

