review-pr
Skill447 starsChanged 5 months agoNo licenceView on GitHub
Review pull requests with complexity-adaptive depth — spawning deep-dive agents for medium and complex PRs. Use this skill when the user says "review this PR", "review PR #123", "check this pull request", "give me a code review", or wants feedback on a PR before merging. Also use when the user says "/review-pr" or pastes a GitHub PR URL. Requires the GitHub CLI (gh).
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 178 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.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 178 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.
Other versions186 projects use a version of this.
Word for word · 1
- leonvanzyl/claude-code-pro-workflow-demo★ 4100% same
Edited · 0
None found.
Wrote their own version · 185
- denoland/deno★ 109ksame name
- ToolJet/ToolJet★ 41ksame name
- remix-run/remix★ 33ksame name
- tirth8205/code-review-graph★ 32ksame name
- alpinejs/alpine★ 32ksame name
- nrwl/nx★ 29ksame name
- jlowin/fastmcp★ 28ksame name
- PrefectHQ/fastmcp★ 28ksame name
- livewire/livewire★ 24ksame name
- microsoft/fluentui★ 20ksame name
175 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.
Used alongsideProjects with it also use diagnose-ci-failures, review-delta 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.
zerx-labSkilldiagnose-ci-failures
Diagnose CI failures for a PR using the GitHub CLI, extract error logs, and generate a plan to fix them. Use when the user asks to check CI status, pull CI issues, triage test failures, or investigate PR build failures.
Also in 3 projects that use this
n24q02mSkillreview-delta
Review only changes since last commit using impact analysis. Token-efficient delta review with automatic blast-radius detection.
Also in 3 projects that use this
n24q02mSkillbuild-graph
Build or update the code review knowledge graph. Run this first to initialize, or let hooks keep it updated automatically.
Also in 3 projects that use this
zerx-labSkillwrite-product-spec
Write a PRODUCT.md spec for a significant user-facing feature in Zap, focused on detailed behavior and validation. Use when the user asks for a product spec, desired behavior doc, or PRD, wants to define feature behavior before implementation, or when the feature is substantial or behaviorally ambiguous enough that a written spec would improve implementation or review.
Also in 3 projects that use this
pooyakhosraviSkilladd-dataset
Add a new public ophthalmic or eye-related dataset to EyeDataHub end to end. Triggers when a user says "add a dataset", "register dataset X", "/add-dataset", or describes a new ophthalmic dataset they want indexed. Walks through source verification, DatasetInfo metadata, loader/backend implementation, registry registration, generated docs, tests, and PR preparation.
Also in 3 projects that use this
GoogleSkillimplement-issue
Implement a Site Kit GitHub issue end-to-end from its implementation brief. Use when the user asks to implement, build, or work on a GitHub issue / feature by number (e.g. "implement issue #12345", "build the feature in issue 12345", "follow the implementation brief for #12345") in the google/site-kit-wp repo.
Also in 9 projects that use this
- +2 more from zerx-lab
- +1 more from n24q02m
In this repository38 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .agents/skills/vercel-react-best-practices/AGENTS.mdAGENTS.md
- .claude/skills/vercel-react-best-practices/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- ai-sdkSkill
- better-auth-best-practicesSkill
- checkpointSkill
- create-agentic-appSkill
- create-specSkill
- find-skillsSkill
- frontend-designSkill
- implement-featureSkill
- mcp-builderSkill
- nextjsSkill
- playwright-cliSkill
- security-scannerSkill
- shadcnSkill
- ship-itSkill
- skill-creatorSkill
- vercel-react-best-practicesSkill
- web-design-guidelinesSkill
- ai-sdkSkill
- better-auth-best-practicesSkill
- checkpointSkill
- create-specSkill
- find-skillsSkill
- frontend-designSkill
- implement-featureSkill
- mcp-builderSkill
- nextjsSkill
- playwright-cliSkill
- review-prSkill
- security-scannerSkill
- shadcnSkill
- ship-itSkill
- skill-creatorSkill
- vercel-react-best-practicesSkill
- web-design-guidelinesSkill
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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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
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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.

