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Pr Workflow

Community
andreaswasita
pr-workflow

Prepares branches and PRs for clean, reviewable merges.

Overview

Publisherandreaswasita
Repositorycopilot-agents-dojo
Skill namepr-workflow
Stars
54
Forks
15
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 andreaswasita on GitHub. Read the source before you install it.

Installation

Install the 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/andreaswasita/copilot-agents-dojo/tree/main/skills/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/andreaswasita/copilot-agents-dojo.git /tmp/copilot-agents-dojo
mkdir -p .claude/skills
cp -r /tmp/copilot-agents-dojo/skills/pr-workflow .claude/skills/pr-workflow
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 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 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 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.

PR Workflow Skill

Takes a working branch from "the code works" to "this is ready for a human reviewer": pre-flight checks, clean commits, a real description, self-review, and disciplined handling of feedback. Does NOT create draft "WIP" PRs that sit open for days.

When to Use

  • Preparing a feature branch for review.
  • Opening a pull request.
  • Writing or rewriting a PR description.
  • Restructuring commits before review.
  • The user says "submit this" or "get this ready for review".

Prerequisites

  • git configured with author identity.
  • gh CLI authenticated for PR creation (or web access to the host).
  • The powershell tool to run git, the test suite, and scripts/verify.sh.
  • A green test suite on the branch.

How to Run

text
1. Pre-flight: tests green, working tree clean, scope reviewed.
2. Clean up commits with interactive rebase if needed.
3. Push the branch.
4. Open the PR with a structured description.
5. Self-review the diff (use the `code-review` skill).
6. Address feedback in new commits — do not force-push during active review.

Quick Reference

StepCommand (run via powershell)Notes
Pre-flight testsnpm test / pytest / go test ./...Must exit 0
Dojo gatebash scripts/verify.sh --checkMust exit 0
Clean treegit status --porcelainEmpty
Review scopegit diff main --statMatches plan
Tidy historygit rebase -i mainOptional, before push
Pushgit push -u origin <branch>First push of branch
Open PRgh pr create --fill then edit bodyOr use the GitHub UI

Procedure

Step 1: Pre-Flight

Run via the powershell tool:

bash
bash scripts/verify.sh --check
git status --porcelain
git diff main --stat

If anything fails, fix it before proceeding. A PR opened on a red branch wastes reviewer time.

Step 2: Clean Up Commits

Interactive rebase if the history is noisy:

bash
git rebase -i main

Squash fixups. Reword unclear messages. Aim for a sequence that reads like a story:

text
feat: add rate limiting middleware
test: cover rate limit burst traffic
docs: document rate limit configuration

Commit message format:

text
<type>: <short description>

<body — what and why, not how>

Types: feat, fix, refactor, test, docs, chore

Step 3: Write the PR Description

markdown
## What
<Brief description.>

## Why
<Problem solved. Link the issue.>

## How
<High-level approach. Key design decisions.>

## Testing
<How was this tested? What should the reviewer verify?>

## Checklist
- [ ] Tests pass
- [ ] No regressions
- [ ] Docs updated (if applicable)
- [ ] `tasks/todo.md` reflects completion

Step 4: Self-Review

Before requesting a human reviewer:

  1. Open the PR on GitHub and read the diff in the web UI (different lens than local).
  2. Run the code-review skill on your own change.
  3. Check for debug artifacts: console.log, print(), TODO, commented-out code.
  4. Confirm the file list matches the stated scope.

Step 5: Handle Review Feedback

  • Address every comment (use the receiving-code-review skill).
  • Push fixes as new commits during active review.
  • Squash fixup commits just before merge.

Pitfalls

  • DO NOT open mega PRs (>400 lines changed across many files). Split them.
  • DO NOT force-push during active review — reviewers lose context.
  • DO NOT mix refactoring and feature work in one PR — separate them.
  • DO NOT omit the description. Reviewers should not have to reverse-engineer intent.
  • DO NOT leave WIP PRs open. Either it is ready for review or it is a draft you actively work on.

Verification

  • scripts/verify.sh --check exits 0 locally before push.
  • PR description has What / Why / How / Testing sections.
  • Commit history is readable (no wip, no fix stuff).
  • Diff scope matches the stated intent.
  • Self-review was run via the code-review skill before requesting human review.

Frequently asked questions

What does the Pr Workflow AI skill do?

Prepares branches and PRs for clean, reviewable merges.

Why use Pr Workflow on TypingMind?

Because you install it once and use it with any model. 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 Pr Workflow in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/andreaswasita/copilot-agents-dojo/tree/main/skills/pr-workflow. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use 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 Pr Workflow?

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

Is the Pr Workflow AI skill free?

Yes. It is published on GitHub by andreaswasita 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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