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Github Pr Workflow

OrganizationPopular
paperclipai
github-pr-workflow

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.

Overview

Publisherpaperclipai
Repositorypaperclip
Skill namegithub-pr-workflow
Stars
95.4K
Forks
16.2K
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by paperclipai on GitHub. Read the source before you install it.

Installation

Install the Github Pr Workflow AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/paperclipai/paperclip/tree/master/packages/skills-catalog/catalog/bundled/software-development/github-pr-workflow
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/paperclipai/paperclip.git /tmp/paperclip
mkdir -p .claude/skills
cp -r /tmp/paperclip/packages/skills-catalog/catalog/bundled/software-development/github-pr-workflow .claude/skills/github-pr-workflow
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Github Pr Workflow in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Github Pr Workflow on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Github Pr Workflow is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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 TODO markers 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 table beats Update reports.tsx.
  • If the repo uses an issue prefix convention (PAP-1234:, [security]), follow it.
  • No trailing period.

PR body

Use this structure:

md
## 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 " — 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_review or done per 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.

Frequently asked questions

What does the Github Pr Workflow AI skill do?

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.

Why use Github Pr Workflow on TypingMind?

Because you install it once and use it with any model. Github Pr Workflow is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Github Pr Workflow in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/paperclipai/paperclip/tree/master/packages/skills-catalog/catalog/bundled/software-development/github-pr-workflow. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Github Pr Workflow?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Github Pr Workflow?

As many as you like. As long as a model supports skills, you can use Github Pr Workflow with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Github Pr Workflow AI skill free?

Yes. It is published on GitHub by paperclipai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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