overengineering-review
Skill16 starsChanged 5 months agoMITView on GitHub
Review code or diffs specifically for needless complexity, replaceable dependencies, dead flexibility, and wrappers over stdlib or native platform behavior. Use when the user asks what can be deleted, simplified, inlined, replaced with stdlib/platform features, or whether a change is over-engineered.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- jeremymcs/skillstheir own version, first seen May 16, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- jeremymcs/skills★ 8same name
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 repository94 other files it gives its agents.
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- bounded-orchestration-contractSkill
- brief-first-executionSkill
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- frontend-product-builderSkill
- frontend-taste-layerSkill
- git-native-context-contractSkill
- goal-loop-designerSkill
- graph-guided-code-readingSkill
- handoffSkill
- happy-handoffSkill
- html-brief-artifactSkill
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- hypothesis-diversificationSkill
- idea-to-ship-gatesSkill
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- lean-context-layoutSkill
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- lottie-motion-builderSkill
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- The first 60 shown.
The file
We split this skill into the rules it gives an agent
10 rules. About 0 are common, 7 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈7
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 16
Use minimal-diff-builder when the user wants the simplification findings turned into the smallest correct patch.
- Very specific: line 17
Use complexity-optimizer instead when the real question is performance or algorithmic cost rather than architectural bloat.
- Very specific: line 18
Use architecture-deepening-review instead when the code is not overbuilt but the boundary design is still wrong.
- Distinctive: line 65
no vague "this feels complex" commentary.
- Distinctive: line 77
If nothing meaningful should be cut:
- Distinctive: line 83
Do not recommend deleting trust-boundary validation, security checks, accessibility basics, or data-loss prevention.
- Distinctive: line 84
Do not turn the review into a broad bug hunt.
- Distinctive: line 85
Do not apply changes unless the user explicitly asks for implementation after review.
- Distinctive: line 86
Treat one focused regression test or self-check as acceptable minimum discipline, not bloat.
- Distinctive: line 90
When a normal prose review is needed, convert the ranked list into:
≈ “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
Overengineering Review
Review only for unnecessary complexity. This skill does not hunt general correctness issues unless they directly affect the simplification recommendation.
Pair With
- Use
minimal-diff-builderwhen the user wants the simplification findings turned into the smallest correct patch. - Use
complexity-optimizerinstead when the real question is performance or algorithmic cost rather than architectural bloat. - Use
architecture-deepening-reviewinstead when the code is not overbuilt but the boundary design is still wrong.
Review Surface
Look for:
- needless abstractions;
- replaceable dependencies;
- dead flexibility;
- wrappers around stdlib or native platform features;
- local helpers or files that only forward to something simpler;
- speculative extension points with one caller or one implementation.
Findings Taxonomy
Use these tags:
delete:code or layer can disappear entirely.stdlib:custom logic should be replaced by a standard-library primitive.native:use built-in platform behavior instead of app code or dependency code.existing-dep:repo already ships a dependency that makes the extra code unnecessary.yagni:speculative abstraction or configurability with no present payoff.shrink:same behavior, fewer moving parts.
Workflow
- Determine scope:
- diff review;
- file review;
- broad repo audit.
- Ignore style nitpicks that do not reduce real complexity.
- Rank findings by payoff:
- dependency removal;
- file/layer deletion;
- abstraction collapse;
- line-count shrink.
- For each finding, capture:
- location;
- tag;
- what is overbuilt;
- what replaces it;
- why the simpler path still covers the requirement;
- any safety caveat.
- Keep findings review-grade:
- specific;
- actionable;
- minimal prose;
- no vague "this feels complex" commentary.
Output Format
One finding per line in ranked order:
<file>:L<line> <tag> <what to cut>. <replacement>. <why it still covers the need>.
End with one compact summary line:
net: -<N> lines, -<M> files, -<K> deps possible.
If nothing meaningful should be cut:
Lean already. Ship.
Boundaries
- Do not recommend deleting trust-boundary validation, security checks, accessibility basics, or data-loss prevention.
- Do not turn the review into a broad bug hunt.
- Do not apply changes unless the user explicitly asks for implementation after review.
- Treat one focused regression test or self-check as acceptable minimum discipline, not bloat.
Final Report
When a normal prose review is needed, convert the ranked list into:
- findings ordered by impact;
- top simplification opportunities;
- residual caveats where the simpler path only works under current scope.
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.

