code-review
Skill0 starsChanged 4 months agoMITView on GitHub
Reviews a diff or file for correctness, readability, maintainability, and consistency with project patterns, giving actionable feedback with line references. Use when reviewing code, a diff, or a PR, or before merging a change.
194 other projects use a version of this.
Adopted by
Most recently taken up by
- doggy8088/spec-kittheir own version, first seen Nov 9, 2026
- strelov1/freehiretheir own version, first seen Nov 9, 2026
- storybookjs/storybooktheir own version, first seen Nov 8, 2026
- codewithmukesh/dotnet-claude-kittheir own version, first seen Nov 8, 2026
- supabase/supabasetheir own version, first seen Nov 8, 2026
- The-Vibe-Company/quivrtheir own version, first seen Nov 8, 2026
Used with
Projects with it also use close-spec, design-with-images 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.
dzhngSkillclose-spec
When a spec under specs/<feature>/ is done shipping (a write-spec build, or any planned task that produced a spec), archive it to specs/done/ and rewrite it from a build-plan into a durable rationale — the why, the principles, the invariants — pointing back to the real code for the how. Use when implementation has landed and the plan no longer matches what shipped, or the user says a feature/spec is finished. Pairs with [write-spec](../write-spec/SKILL.md) (the plan this closes) and [review](../review/SKILL.md) (run before closing).
Also in 5 projects that use this
dzhngSkilldesign-with-images
Explore UI and visual design with image generation, then iterate the real implementation against the user-selected concept. Use when brainstorming visual directions, offering mockup variants, or implementing an approved generated design; do not stop at the mockups or the first code approximation.
Also in 5 projects that use this
PydanticSkilladd-new-model
Add support for a newly-released language or image generation model in pydantic-ai (e.g. openai:gpt-5.6, anthropic:claude-sonnet-5, openai:gpt-image-2). Use when a provider ships a new model id and you need to wire literals, profile flags, adapters, and tests to recognize it. Handles SDK-lag, gateway list conventions, capability probing, and direct image-model geometry.
Also in 9 projects that use this
transitive-bullshitSkillcompare-screenshots
Compare screenshots against the intended design, distinguishing approved references from historical baselines. Use for iterative implementation matching, before/after visual review, objective image telemetry, or checking a lone capture for flat, empty, or badly framed content.
Also in 5 projects that use this
Microsoft AzureSkillazsdk-common-apiview-feedback-resolution
Analyze and resolve APIView review feedback on Azure SDK PRs. **UTILITY SKILL**. USE FOR: APIView comments, API review feedback, SDK API surface changes. DO NOT USE FOR: general code review, non-APIView feedback. INVOKES: azure-sdk-mcp:azsdk_apiview_get_comments, azure-sdk-mcp:azsdk_customized_code_update, azure-sdk-mcp:azsdk_typespec_delegate_apiview_feedback, azure-sdk-mcp:azsdk_run_typespec_validation, azure-sdk-mcp:azsdk_package_generate_code.
Also in 6 projects that use this
Microsoft AzureSkillazsdk-common-generate-sdk-locally
Generate and finalize Azure SDKs locally from TypeSpec, including build, checks, tests, changelog, metadata, and version updates by default. WHEN: "generate SDK locally", "build SDK", "run SDK tests", "run CI checks", "validate package", "run checks", "update changelog", "fix SDK build errors", "resolve SDK generation errors", "customize TypeSpec", "rename SDK client", "rename SDK model", "hide operation from SDK", "fix analyzer errors", "resolve customization drift", "create subclient", "update metadata", "update version". INVOKES: azsdk_verify_setup, azsdk_package_generate_code, azsdk_package_build_code, azsdk_package_run_check, azsdk_package_run_tests, azsdk_customized_code_update, azsdk_package_update_changelog_content, azsdk_package_update_metadata, azsdk_package_update_version.
Also in 6 projects that use this
- +4 more from dzhng
- +2 more from Azure
Other versions194 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 194
- mattpocock/skills★ 309ksame name
- TheAlgorithms/Python★ 226ksame name
- microsoft/vscode★ 195ksame name
- github/spec-kit★ 149ksame name
- ggml-org/llama.cpp★ 134ksame name
- supabase/supabase★ 115ksame name
- storybookjs/storybook★ 91ksame name
- shareAI-lab/analysis_claude_code★ 80ksame name
- shareAI-lab/learn-claude-code★ 80ksame name
- vectorize-io/hindsight★ 60ksame name
184 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 repository11 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- brainstormingSkill
- build-phaseSkill
- debuggingSkill
- online-researchSkill
- security-reviewSkill
- skill-creatorSkill
- skill-reviewerSkill
- software-developmentSkill
- writing-plansSkill
- writing-testsSkill
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 184 edited versions we read keep these.
1
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 37
Get the diff/context: Read the change and enough surrounding code to judge it.
“Common” is measured: kept by at least 6 in 10 of the 184 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 Review
Review for correctness and quality. Report findings with file:line and a fix,
rated: 🔴 Must fix · 🟡 Should fix · 🟢 Consider · ✅ Good (call out real
strengths too). This is a quality review, not a security audit.
Where this skill adds value
Be honest about what this buys you. On a strong model, this skill does not
catch bugs an unaided review would miss. Its value is consistency and
coverage: it works through every review dimension (correctness, naming,
complexity, error handling, duplication, consistency, tests) so none is skipped,
applies one severity scale, and always anchors findings to file:line with a
concrete fix. That reliability matters most for a team standard, a large diff,
or a weaker model. So: deliver a complete, uniformly rated review, not just
the first issue you spot.
Scope
This skill DOES:
- Review correctness, readability, maintainability, simplicity, and consistency with the codebase's existing patterns.
- Give specific, actionable feedback anchored to lines, each with a concrete fix.
This skill does NOT:
- Rewrite the code for the author — suggest; the author decides.
- Perform a security audit (vuln classes, authz, secrets) — out of scope here.
- Nitpick style a formatter/linter already enforces.
Steps
Surface as TodoWrite items. Checkpoint findings to
./.claude-skills-work/code-review/<target>/findings.md as you go.
- Get the diff/context. Read the change and enough surrounding code to judge it. Note the change's intent and the patterns already used nearby.
- Review each dimension (see
references/checklist.mdfor detail): correctness, naming/readability, function/complexity, error handling, duplication & simplicity, consistency, and test adequacy. - Rate and locate. For each finding: severity,
file:line, the problem, and a concrete fix. Prioritize correctness over style. - Report in the output format below, most severe first.
Review dimensions (quick reference)
- Correctness — does it do what it claims? Edge cases, off-by-one, null/empty inputs, error paths, concurrency, resource cleanup. Highest priority.
- Naming & readability — intent-revealing names; avoid
data/tmp/handle; code reads top-to-bottom without puzzle-solving. - Function & complexity — small focused units; shallow nesting; guard
clauses over deep
iftrees. - Error handling — no silent swallow; failures surface with useful context; the unhappy path is handled.
- Duplication & simplicity — no copy-paste of real logic (DRY); no speculative generality (YAGNI); simplest thing that works (KISS).
- Consistency — matches existing project idioms, structure, conventions.
- Tests — do tests cover the new/changed behavior, including edges? (Assess adequacy; authoring cases is a separate concern.)
Output format
## Code Review: <target>
### 🔴 Must fix
1. **<issue>** (path:line) — <problem> → <fix>
### 🟡 Should fix
1. **<issue>** (path:line) — <problem> → <fix>
### 🟢 Consider
1. **<suggestion>** (path:line)
### ✅ Good
- <genuine strength worth keeping>Red flags (stop and correct)
| If you notice… | Do this |
| Reviewing without reading surrounding context | Read enough to judge before commenting |
| Vague feedback ("could be cleaner") | Name the problem and give a concrete fix |
| Findings with no line reference | Anchor every finding to file:line |
| Bikeshedding formatter/lint style | Skip it; focus on correctness and design |
| Only listing negatives | Note real strengths in ✅ Good too |
| Rewriting the whole change yourself | Suggest; the author owns the code |
Done when
- Each finding has a severity, a
file:line, and a concrete fix. - Findings are ordered most-severe-first, correctness prioritized.
- Report follows the output format.
References (load only when needed)
references/checklist.md— per-dimension checks with good/bad examples.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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- It worked
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- 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.

