github-pr-workflow
Skill1 starsChanged 5 months agoMITView on GitHub
Prepare a GitHub pull request from a feature branch — branch hygiene, commit shape, title/body, verification notes, screenshots for UI work, and replies to review comments.
We split this skill into the rules it gives an agent
6 rules. 0 are common, 4 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 26 edited versions we read keep these.
4
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
- Very specific: line 34
Remove debug prints, commented-out code, and TODO markers that are not tracked.
- Very specific: line 40
If the repo uses an issue prefix convention (PAP-1234:, [security]), follow it.
- Distinctive: line 77
If you disagree with feedback, say so with one sentence of rationale and let the reviewer decide.
- Distinctive: line 82
All required checks green.
- Distinctive: line 83
All review comments resolved.
- Distinctive: line 86
Delete the branch after merge unless it is a long-lived integration branch.
“Common” is measured: kept by at least 6 in 10 of the 26 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
GitHub Pull Request Workflow
Ship a PR a reviewer can land without follow-up clarifying questions. The aim is high signal in the title and body, evidence the change works, and clean replies when feedback comes in.
When to use
- You are about to open a PR for a change that is functionally complete.
- A reviewer left comments and you need to respond and push fixes.
- A PR has been open more than a day and needs to be brought back into shape (stale conflicts, missing description, missing verification).
When not to use
- The change is not yet functionally complete. Finish the work first; draft PRs that bounce on review are noise.
- The repository uses a non-GitHub forge. Adjust to that forge's conventions; do not force GitHub-isms.
Branch hygiene before opening
- Rebase or merge from the target base so the diff is current.
- Squash WIP commits into reviewable units. Prefer one commit per logical change; do not force one-commit-per-PR if the work is genuinely multi-step.
- Confirm tests, typecheck, and lint pass locally. Note any deliberate skips in the PR body.
- Remove debug prints, commented-out code, and
TODOmarkers that are not tracked.
PR title
- Imperative mood, under 70 characters.
- Lead with the user-visible change, not the file touched.
Allow CSV export from reports tablebeatsUpdate reports.tsx. - If the repo uses an issue prefix convention (
PAP-1234:,[security]), follow it. - No trailing period.
PR body
Use this structure:
## Summary
- 1–3 bullets describing what changed and why.
## Implementation notes
- Anything non-obvious in the diff: trade-offs, dropped alternatives, gotchas.
- Migration or config implications.
## Verification
- The exact commands or steps you ran.
- Screenshots or short clips for UI changes (required if pixels moved).
- Edge cases you exercised by hand.
## Risk and rollback
- What breaks if this is reverted, and how to revert cleanly.Skip the Risk and rollback section only for clearly trivial PRs (typos, docs).
Verification evidence
- Tests passing in CI is necessary, not sufficient. Reviewers also need to know the change behaves correctly end to end.
- For UI work, include screenshots of the golden path and one edge case. Tag dark and light mode if the project supports both.
- For migrations, include a dry-run plan and reversal steps.
- For performance changes, include a before/after measurement, not adjectives.
Replying to review comments
- Reply on every comment, even with just "fixed in
<commit-sha>" — silent fixes leave the reviewer guessing. - Push fixes as new commits while review is active; do not amend during review unless the reviewer agrees.
- If you disagree with feedback, say so with one sentence of rationale and let the reviewer decide. Don't escalate over comments.
- Re-request review explicitly after pushing changes.
Merge checklist
- All required checks green.
- All review comments resolved.
- PR title/body still accurate (update if scope changed mid-review).
- Linked issue moves to
in_reviewordoneper project convention. - Delete the branch after merge unless it is a long-lived integration branch.
Anti-patterns
- PR description that says "see commits". Reviewers should not need to read the log.
- Mixing refactor and behavior change in the same PR with no separation in the body.
- "Address feedback" commits that bundle unrelated edits. One commit per round of feedback is fine; one commit for everything in flight is not.
- Force-pushing during active review without telling the reviewer.
Other versions26 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 26
- math-inc/OpenGauss★ 1.3ksame name
- Tommy-yw/RunbookHermes★ 546same name
- aivrar/portable-hermes-agent★ 239same name
- RedWoodOG/Hermes-Desktop★ 177same name
- HybridAIOne/hybridclaw★ 159same name
- AtlasOmnia/donna-starter★ 136same name
- AtlasOmnia/hermes-custom-pack★ 65same name
- drvoss/everything-copilot-cli★ 47same name
- YPares/agent-skills★ 30same name
- ethosagent/ethos★ 22same name
16 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 find-nearby, native-mcp 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.
math-incSkillfind-nearby
Find nearby places (restaurants, cafes, bars, pharmacies, etc.) using OpenStreetMap. Works with coordinates, addresses, cities, zip codes, or Telegram location pins. No API keys needed.
Also in 3 projects that use this
math-incSkillnative-mcp
Built-in MCP (Model Context Protocol) client that connects to external MCP servers, discovers their tools, and registers them as native Gauss Agent tools. Supports stdio and HTTP transports with automatic reconnection, security filtering, and zero-config tool injection.
Also in 6 projects that use this
Tommy-ywSkillwebhook-subscriptions
Create and manage webhook subscriptions for event-driven agent activation, or for direct push notifications (zero LLM cost). Use when the user wants external services to trigger agent runs OR push notifications to chats.
Also in 3 projects that use this
OmniJeffSkillascii-art
Generate ASCII art for software projects — text banners, decorative borders/boxes, icons, and logos. Supports themes, figlet fonts, ANSI colors, and inline code file insertion with auto-detected comment syntax. Use proactively when scaffolding projects or adding file headers, section dividers, or decorative comments.
Also in 5 projects that use this
MicrosoftSkillpowerpoint
PowerPoint slide deck generation and management using python-pptx with YAML-driven content and styling
Also in 5 projects that use this
- +7 more from math-inc
In this repository38 other files it gives its agents.
- AGENTS.mdAGENTS.md
- docs/api/agents.mdAGENTS.md
- packages/plugins/plugin-llm-wiki/agents/wiki-maintainer/AGENTS.mdAGENTS.md
- packages/plugins/plugin-llm-wiki/fixtures/basic-root/AGENTS.mdAGENTS.md
- packages/plugins/plugin-llm-wiki/templates/AGENTS.mdAGENTS.md
- server/src/onboarding-assets/ceo/AGENTS.mdAGENTS.md
- server/src/onboarding-assets/default/AGENTS.mdAGENTS.md
- company-creatorSkill
- create-agent-adapterSkill
- deal-with-security-advisorySkill
- doc-maintenanceSkill
- prcheckloopSkill
- pr-reportSkill
- release-changelog-discord-messageSkill
- release-changelogSkill
- releaseSkill
- design-guideSkill
- index-refreshSkill
- paperclip-distillSkill
- wiki-ingestSkill
- wiki-lintSkill
- LLM Wiki MaintainerSkill
- wiki-querySkill
- doc-maintenanceSkill
- issue-triageSkill
- task-planningSkill
- qa-acceptanceSkill
- agent-browserSkill
- release-announcementSkill
- design-critiqueSkill
- diagnose-why-work-stoppedSkill
- paperclip-converting-plans-to-tasksSkill
- paperclip-create-agentSkill
- paperclip-create-pluginSkill
- paperclip-devSkill
- paperclipSkill
- para-memory-filesSkill
- terminal-bench-loopSkill
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.

