prepare-pr
Skill1 starsChanged 6 months agoNo licenceView on GitHub
Produce a pull request that is merge-ready from the first review. This skill runs through every pre-PR gate in order and blocks on failures. Do not open a PR until…
- Commits and pushes
12 other projects use a version of this.
Adopted by
Most recently taken up by
- dativo-io/talontheir own version, first seen Oct 25, 2026
- WikiEducationFoundation/WikiEduDashboardtheir own version, first seen Oct 9, 2026
- TermiX-official/cryptoclawtheir own version, first seen Oct 8, 2026
- mengxi-ream/read-frogtheir own version, first seen Oct 8, 2026
- chattymin/PokeTokenBartheir own version, first seen Oct 5, 2026
- atsushi-green/ds-ai-coding-skillstheir own version, first seen Sep 25, 2026
Used with
Projects with it also use review-pr.
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.
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 3 projects that use this
Other versions12 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 12
- mengxi-ream/read-frog★ 10ksame name
- chattymin/PokeTokenBar★ 557same name
- WikiEducationFoundation/WikiEduDashboard★ 431same name
- NVIDIA/NeMo-Relay★ 238same name
- TermiX-official/cryptoclaw★ 100same name
- atsushi-green/ds-ai-coding-skills★ 86same name
- NVIDIA/NeMo-Fabric★ 73same name
- neul-labs/openclawMU★ 33same name
- dativo-io/talon★ 18same name
- pnnl/adept-agentic★ 2same name
2 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 repository7 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- clean-codeSkill
- dead-code-removalSkill
- java-best-practicesSkill
- java-staff-reviewSkill
- new-domain-entitySkill
- openapi-firstSkill
The file
Show its rules and text
We split this skill into the rules it gives an agent
16 rules. 0 are common, 12 are distinctive, and 4 are very specific to this project.
0
Common
Most of the 11 edited versions we read keep these.
12
Distinctive
This author's own choices. Worth a look.
4
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 11 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.
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.
- 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.

