pr-description
Skill3 starsChanged 57 days agoMITView on GitHub
Use when the user asks to open a pull request, write a PR description, or summarise a branch for review. Builds the description from the full branch diff against the base and from commit messages, and includes a test plan with real commands.
- Commits and pushes
94 other projects use a version of this.
Adopted by
Most recently taken up by
- TangleML/tangle-uitheir own version, first seen Nov 9, 2026
- taecontrol/skillstheir own version, first seen Nov 8, 2026
- sankalpaacharya/skillstheir own version, first seen Nov 8, 2026
- joel611/skillstheir own version, first seen Nov 8, 2026
- Wade-DevCode/awesome-coding-skills-cntheir own version, first seen Nov 8, 2026
- AlessioScarfone/skillstheir own version, first seen Nov 6, 2026
Used with
Projects with it also use ao-desktop-dev, bug-triage 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.
agentlab-inSkillao-desktop-dev
Launch, restart, or troubleshoot the real AO Electron desktop app from this repository; run a checkout against isolated or real local AO data; combine PR branches for local UI review; and diagnose stale Electron processes, port conflicts, or preload bridge mismatches. Use whenever asked to run, open, show, or visually verify AO frontend changes in the actual desktop app rather than ao preview, dev:web, or mock data.
Also in 4 projects that use this
jMertaSkillbug-triage
Use when the user reports a bug, regression, runtime error, failing build, or broken test and wants reproduction, diagnosis, root-cause analysis, or an authorized fix. Isolates the shared cause and verifies the smallest relevant change.
Also in 4 projects that use this
saffron-healthSkilladdress-review
Address PR review comments systematically. Use when responding to code review feedback on a pull request.
Also in 3 projects that use this
NVIDIASkillwriting-docs
Use when adding or changing user-facing behavior or documentation in Megatron-Energon, or when creating new .py, .sh or .md files that need license headers.
Also in 3 projects that use this
PydanticSkilli-have-adhd
Shape every response for an ADHD reader who reviews the work but does not do the coding — the agent does. Use whenever responding to ANY message — coding, debugging, planning, casual. Lead with the result or the decision. Surface anything needing the user's input as a structured question, never buried in prose they'll skim past. No preamble, no recap, no closers. State errors matter-of-factly. Make finished work visible. Trigger even on casual messages and even when brevity wasn't requested.
Also in 3 projects that use this
pproencaSkillrefactoring
Code refactoring best practices based on Martin Fowler's catalog and Clean Code principles. This skill should be used when refactoring existing code, improving code structure, reducing complexity, eliminating code smells, or reviewing code for maintainability. Triggers on tasks involving extract method, rename, decompose conditional, reduce coupling, or improve readability.
Also in 3 projects that use this
Other versions94 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 94
- jdx/mise★ 36ksame name
- zulip/zulip★ 26ksame name
- Nagi-ovo/gemini-voyager★ 21ksame name
- pipecat-ai/pipecat★ 17ksame name
- AgentWrapper/agent-orchestrator★ 14ksame name
- ComposioHQ/agent-orchestrator★ 14ksame name
- OrchestratorInc/agent-orchestrator★ 14ksame name
- Untrivial-ai/agent-orchestrator★ 14ksame name
- sanity-io/sanity★ 6.4ksame name
- vimeo/psalm★ 5.9ksame name
84 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.
- changelogSkill
- claude-md-initSkill
- commit-messageSkill
- dependency-auditSkill
- readme-refreshSkill
- secret-auditSkill
- test-gap-finderSkill
The file
We split this skill into the rules it gives an agent
5 rules. 0 are common, 3 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 89 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 13
Write, in this order, using the template below.
- Very specific: line 14
If gh is available and the user asked to open the PR: gh pr create --title "<subject>" --body "$(cat <<'EOF' ...
- Very specific: line 35
Test plan commands must be ones that actually exist in the repo (check package.json, Makefile, pyproject.toml).
- Distinctive: line 36
Call out schema/migration changes, config changes, and dependency bumps explicitly.
- Distinctive: line 37
Do not claim tests pass unless you ran them in this session.
“Common” is measured: kept by at least 6 in 10 of the 89 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
pr-description
A PR description is a reviewer's map: what changed, why, how to verify, what is risky.
Procedure
- Determine base:
git rev-parse --abbrev-ref --symbolic-full-name @{u}or ask; defaultorigin/main. Fetch first:git fetch origin. - Collect evidence:
git log --oneline <base>..HEAD,git diff --stat <base>...HEAD, and read the diff for anything non-trivial (git diff <base>...HEAD -- <paths>). - Write, in this order, using the template below. Keep the whole thing under ~250 words unless the diff is large.
- If
ghis available and the user asked to open the PR:gh pr create --title "<subject>" --body "$(cat <<'EOF' ... EOF)"and print the URL. Otherwise output the markdown.
Template
## Summary
One paragraph: the problem and the approach. Link the issue.
## Changes
- Bullet per logical change, referencing files/modules (not every file).
## Test plan
- [ ] `<exact command>`: what it proves
- [ ] Manual step, if any
## Risk / rollback
What could break, how to revert (`git revert <sha>` or feature flag).The body ends with the Risk / rollback section. Nothing comes after it.
Rules
- Title ≤ 70 chars, imperative, matches the primary commit type (
feat:/fix:). - Test plan commands must be ones that actually exist in the repo (check
package.json,Makefile,pyproject.toml). Never inventnpm testif there is no test script. - Call out schema/migration changes, config changes, and dependency bumps explicitly.
- Do not claim tests pass unless you ran them in this session; say "not run" otherwise.
- No tool attribution footer ("Generated with …", a robot emoji line, Co-Authored-By) unless the repo's CONTRIBUTING or the user asks for it. The harness may append such a line to PR bodies on its own; this skill's output is complete without it, so do not add one and do not leave room for one. If the user wants attribution off everywhere, point them to the attribution setting in Claude Code's settings.json (
includeCoAuthoredBy).
Verify
Maintainers: bash evals/run.sh /tmp/skillkeel-evals pr-description from the plugin root runs this case and grades it; records and transcripts sit in evals/pr-description/.
evals/pr-description/: fixture branch with 3 commits (feat + fix + docs) and a migration file; expected: migration called out under Risk, test plan uses the repo's real make test.
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
- 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.

