review-plan
Skill8 starsChanged 50 days agoMITView on GitHub
Adversarially review an implementation plan before any code is written,
35 other projects use a version of this.
Adopted by
Most recently taken up by
- serionist/claude-session-restoretheir own version, first seen Nov 8, 2026
- withpiper/pipekittheir own version, first seen Nov 8, 2026
- mab-go/xmind-mcptheir own version, first seen Nov 8, 2026
- CsHeng/agent-skillstheir own version, first seen Nov 4, 2026
- alo-exp/silver-bullettheir own version, first seen Nov 1, 2026
- fitlab-ai/agent-infratheir own version, first seen Oct 27, 2026
Used with
Projects with it also use implement-plan, planner and 7 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.
JasonPaffSkillimplement-plan
Execute implementation plan with structured tracking and validation using subagent architecture
Also in 5 projects that use this
am-willSkillplanner
Create comprehensive, phased implementation plans with sprints and atomic tasks. Use when user says: "make a plan", "create a plan", "plan this out", "plan the implementation", "help me plan", "design a plan", "draft a plan", "write a plan", "outline the steps", "break this down into tasks", "what's the plan for", or any similar planning request. Also triggers on explicit "/planner" or "/plan" commands.
Also in 3 projects that use this
sahinSkillexecute
Also in 3 projects that use this
nicolasestremSkillbrainstorm
Structured idea generation and solution exploration with systematic analysis.
Also in 6 projects that use this
DockerSkillreview-pr
Review one or more incoming Docker documentation pull requests as a maintainer. Independently validate technical claims, assess editorial fit and information architecture, choose a verdict, and draft exact inline or PR-wide feedback behind a confirmation gate. Use for requests such as "review PR 123", "is this PR correct?", "does this information belong here?", "validate this PR", or "help review backlog PRs". Do not use to maintain or fix a PR you own; use maintain-pr for that.
Also in 5 projects that use this
GitHubSkillprd
Generate high-quality Product Requirements Documents (PRDs) for software systems and AI-powered features. Includes executive summaries, user stories, technical specifications, and risk analysis.
Also in 3 projects that use this
Other versions35 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 35
- penpot/penpot★ 62ksame name
- JetBrains/youtrackdb★ 443same name
- wallstop/unity-helpers★ 176same name
- shader-slang/slangpy★ 156same name
- fitlab-ai/agent-infra★ 87same name
- microsoft/vscode-team-kit★ 65same name
- DasDigitaleMomentum/opencode-processing-skills★ 60same name
- Cleveland-RD/hivehouse★ 46same name
- atomicinnovation/accelerator★ 34same name
- hawkyre/hawk-skills★ 30same name
25 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 repository53 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- agent-browserSkill
- anything-to-skillSkill
- ci-generateSkill
- ci-localSkill
- clotho-researchSkill
- codex-imagegenSkill
- create-ruleSkill
- create-skillSkill
- db-migrateSkill
- docker-initSkill
- docs-adrSkill
- docs-checkSkill
- docs-diagramSkill
- docs-initSkill
- docs-rfcSkill
- docs-updateSkill
- env-setupSkill
- find-skillsSkill
- fix-bugSkill
- git-commitSkill
- git-create-prSkill
- gitflowSkill
- git-releaseSkill
- git-syncSkill
- i18n-checkSkill
- implement-featureSkill
- improve-skillSkill
- inject-docsSkill
- jira-cliSkill
- motion-studioSkill
- optimize-ai-setupSkill
- orchestrateSkill
- oss-launchSkill
- prd-to-issuesSkill
- product-design-specSkill
- product-design-tokensSkill
- product-prdSkill
- project-illustratorSkill
- project-plannerSkill
- refactorSkill
- renderSkill
- review-codeSkill
- review-depsSkill
- review-designSkill
- review-perfSkill
- review-securitySkill
- shipSkill
- stopslopSkill
- test-suiteSkill
- vrt-checkSkill
- 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 34 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 54
Use these strictly. Inflating severity makes the whole signal useless.
- Distinctive: line 67
Never edit anything. You are read-only.
- Distinctive: line 69
No praise: "This is well structured" is not a finding and costs the reader time.
“Common” is measured: kept by at least 6 in 10 of the 34 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
Review Plan
Attack an implementation plan before it becomes code. A bug caught here costs a sentence; the same bug caught after the build costs a branch.
Stance
Assume the plan is wrong. A reviewer that opens neutral produces "looks good" and the step becomes theatre. The plan's author already believes it works, so your job is the other half.
You are reviewing the plan, not the author, and not the ticket. Do not restate what the plan says. Do not suggest a rewrite. Report what breaks.
What you do not get, and why
You get the plan and the repository. You do not get the planner's reasoning or its transcript. That separation is deliberate: a reviewer who can see why the author chose something tends to be persuaded by it. Judge the plan against the code, not against its own justification.
Method
Work in this order; the early steps are where the real findings are.
| Step | Focus |
| 1. Check the plan's claims against the repo | Every file it names: does it exist? Every function it says it will modify: is it actually there, and does it have the signature the plan assumes? Plans routinely target an architecture the author imagined. This single check finds more blockers than everything below it. |
| 2. Run the ordering | Does step N depend on something step N+1 creates? Does any step assume state a previous step did not establish? |
| 3. Find the second run | Most plans work once. What happens on re-run, on partial failure, on two of these happening at the same time? Shared mutable state, non-idempotent writes, and unbounded loops all surface here. |
| 4. Interrogate the verification | The plan claims something proves it worked. Would that check actually fail if the change were wrong? A verification that passes on a broken implementation is worse than none, because it manufactures confidence. |
| 5. Look for the unstated assumption | Credentials, network, migrations, ordering guarantees, someone else's schema. What has to be true that nobody wrote down? |
Severity
Use these strictly. Inflating severity makes the whole signal useless.
| Severity | Meaning |
blocker | The plan cannot succeed as written. Something it depends on is absent, wrong, or contradictory. |
gap | It will succeed and leave a real problem behind: a missing failure path, an untested branch, a silent-corruption risk. |
nit | Worth saying, not worth blocking on. |
Attribute each finding to the 0-based index of the step it attacks, or to the plan as a whole when it is structural.
Rules
- Never edit anything. You are read-only. If you find yourself wanting to fix it, write the finding instead.
- No praise: "This is well structured" is not a finding and costs the reader time.
- Be specific enough to act on. "Error handling is weak" is not usable; "step 2 writes the file before validating it, so a malformed input leaves a corrupt file on disk" is.
- An empty findings list is a legitimate result, but reaching it because you did not check the repo is not. If you did not read the code, say so rather than passing the plan.
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.

