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Pr

CommunityPopular
Yeachan-Heo
pr

Draft a PR body from OMC's paper trail — the smallest visual that proves the change, evidence consumed from the verify protocol (never re-collected), reversibility from the ADR test on the diff, glossary language throughout.

Overview

PublisherYeachan-Heo
Repositoryoh-my-claudecode
Skill namepr
Stars
39.8K
Forks
3.6K
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 Yeachan-Heo on GitHub. Read the source before you install it.

Installation

Install the Pr 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/Yeachan-Heo/oh-my-claudecode/tree/main/skills/pr
  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/Yeachan-Heo/oh-my-claudecode.git /tmp/oh-my-claudecode
mkdir -p .claude/skills
cp -r /tmp/oh-my-claudecode/skills/pr .claude/skills/pr
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pr 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 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 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 Body

When work lands behind a review, the PR body is the one artifact a reviewer outside the session reads. Everything it needs already exists in the paper trail — this skill assembles it and adds nothing that was not already established. The summary-visual discipline is inspired by show-me (credited in the frontmatter).

Template

markdown
## Summary
<one-line claim, then the smallest visual that proves it>

## Evidence
- **Before:** <output / failing check>
  **After:** <output / passing check>

## Reversibility
<Rollback: cheap via <mechanism> | expensive because <reason>>
<Blast radius: one line>

Sections

Summary

State the change in one sentence, then show the smallest view that makes the point. Match the visual to the change:

  • logic or an algorithm → pseudocode
  • runtime control flow → a call tree
  • UI structure → a component tree
  • file responsibility or a broad refactor → a shallow file tree
  • component interaction or data flow → a Mermaid diagram
  • the delta itself → a diff shaped like the change (component, layout, call tree, or state machine)

Show the whole block only when most of it is new, omitted context would hide ownership, or the reviewer needs a copyable target shape. One visual usually suffices; never all forms.

Evidence

Consume the verify protocol's output — BUILD, TEST, LINT, FUNCTIONALITY evidence, freshness rule inherited. Present before/after pairs: the exact check that failed before and passes after, quoted from the output itself. When the change is visual, prefer a captured screenshot; qa-tester can drive the runtime for one. Never re-collect evidence here and never claim evidence the verify pass did not produce.

Reversibility

Run the ADR test on the diff itself — the same three questions launch applies to decisions: hard to reverse? surprising without context? the result of a real trade-off? A no on all three is a cheap rollback: say by what mechanism (revert the merge, toggle the flag). Any yes means an expensive rollback: say why. Classify the door first: a two-way door (undo is cheap and ordinary) needs no ceremony beyond naming the undo; a one-way door says so explicitly and names what makes the step irreversible. Link the ADR when the change implements or touches one. Close with the blast radius in one line — what else this change can move.

Language

Terms come from GLOSSARY.md where a glossary exists (legacy yards not yet migrated keep it in CONTEXT.md). The PR is read outside the session; the glossary is the only vocabulary the reader shares with it.

Triggers

  • launch Phase 5, when the platform reviews through PRs: the completion report carries a PR body drafted by this skill.
  • Any session that opens or materially updates a PR.

Output

  • The PR body, ready to paste
  • The paper-trail pointers it relies on (verify evidence, ADRs, spec)

Frequently asked questions

What does the Pr AI skill do?

Draft a PR body from OMC's paper trail — the smallest visual that proves the change, evidence consumed from the verify protocol (never re-collected), reversibility from the ADR test on the diff, glossary language throughout.

Why use Pr on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Yeachan-Heo/oh-my-claudecode/tree/main/skills/pr. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pr?

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?

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

Is the Pr AI skill free?

Yes. It is published on GitHub by Yeachan-Heo 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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