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Create Pr

CommunityPopular
fcakyon
create-pr

This skill should be used when user asks to "create a PR", "make a pull request", "open PR for this branch", "submit changes as PR", "push and create PR", or explicitly invokes "create-pr".

Overview

Publisherfcakyon
Repositoryclaude-codex-settings
Skill namecreate-pr
Stars
1.1K
Forks
109
Bundled files
Instructions only
LicenseApache-2.0
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 fcakyon on GitHub. Read the source before you install it.

Installation

Install the Create 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.
  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/fcakyon/claude-codex-settings.git /tmp/claude-codex-settings
mkdir -p .claude/skills
cp -r /tmp/claude-codex-settings/plugins/github-dev/skills/create-pr .claude/skills/create-pr
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Create 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 Create 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 Create 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.

Create PR

Complete workflow for creating pull requests following project standards.

When explicitly invoked with extra text, treat that text as additional context for branch naming, commit context, and PR title and body generation. Compress it into a short plain-language branch name rather than copying the full text.

Process

First, run the /simplify skill on the staged diff and apply its findings before committing. Docs-only diffs are a no-op.

  1. Preferred execution

    • If subagents are available, use github-dev:pr-creator for the full workflow.
    • Pass along any extra invocation text plus session findings and motivation as additional context.
    • Otherwise follow the manual steps below.
  2. Verify staged changes exist with git diff --cached --name-only

  3. Branch setup

    • If on main/master, create a short branch first: feature/short-topic, fix/short-topic, or docs/short-topic
    • Keep the branch suffix to 2-4 short words
    • Avoid long, overly specific, or sentence-like branch names
    • Use github-dev:commit-creator subagent to handle staged changes if needed, and pass session findings and motivation into the commit context
  4. Documentation check

    • Update README.md or docs based on changes compared to target branch
    • For config/API changes, use mcp__tavily__tavily_search to verify info and include sources
  5. Analyze all commits

    • Use git diff <base-branch>...HEAD to review complete changeset
    • PR message must describe all commits, not just latest
    • Focus on what changed from reviewer perspective
  6. Create PR

    • Use gh for GitHub operations and git only for local branch management
    • Use github-dev:pr-creator or gh pr create with parameters:
      • -t (title): a short human headline, capital first letter, no fix: or feat: prefix. Lead with the outcome in plain words, one idea not a list of everything the branch touched. Punchy beats exhaustive. A title is a headline, not a summary. Robotic: Align Claude Code install commands to the CLI form and tidy humanize docs Cooler: Put Claude Code on the same install CLI as everything else
      • -b (body): write it like a sharp teammate would, not a changelog. See PR Body Guidelines below.
      • -a @me (self-assign)
      • -r <reviewer>: Only add if the user explicitly asks OR recent PRs by this author have reviewers. Check with: gh pr list --repo <owner>/<repo> --author @me --limit 5 --json reviewRequests If recent PRs have no reviewers, skip -r entirely.
  7. PR Body Guidelines

    • One-line why it exists, not "This PR...". No second intro paragraph.
    • Three bullets max, one point each, under ~12 words. Need a fourth? You are over-explaining, cut it.
    • Lead with the most visual proof, don't just describe it. A webpage, UI, or design change MUST carry before/after images in a two-column table, never text describing the change. Benchmarks get a table, anything else gets a diff or runnable CLI snippet.
    • Numbers win: put benchmarks, counts, speedups and comparisons in a markdown table, not a paragraph.
    • One read, one section, no headers. Plain words, no buzzwords, no test plans or file lists.
    • Embedding images: never commit them into the repo. Upload to a release and link that URL, which outlives the branch:
      bash
      gh release upload <tag> before.png after.png --clobber
      # ![before](https://github.com/OWNER/REPO/releases/download/<tag>/before.png)
      Capture both shots at the same window size so the pair is comparable. Release assets serve as application/octet-stream, so curl -sI looks wrong even when fine. Open the PR and confirm the images render.

Examples

Why-first with a diff

Codex, Cursor, and Gemini each install from their own CLI. Claude Code was the odd one out on the in-REPL slash form, so this lines everyone up.

```diff
- /plugin install fable-advisor@claude-settings
+ claude plugin install fable-advisor@claude-settings
```

Same swap across all 30 plugin tables. No behavior change, just one house style everywhere.

CLI snippet

Add a compare command for side-by-side model runs

Point it at a folder and a few models and it stitches the panels together, so you can eyeball which one wins without juggling tabs.

`ultrannotate compare --source ./images --models sam3.pt,yoloe-26x-seg.pt --phrases "person,car"`

Design change, before and after

The install panel only ever printed Codex commands, even though the site lists four tools.

| before | after |
|---|---|
| ![before](https://github.com/fcakyon/claude-codex-settings/releases/download/v2.4.0/install-panel-before.png) | ![after](https://github.com/fcakyon/claude-codex-settings/releases/download/v2.4.0/install-panel-after.png) |

- marketplace setup is its own step, shown only for tools that need one
- unsupported plugins say so instead of a dead command

Frequently asked questions

What does the Create Pr AI skill do?

This skill should be used when user asks to "create a PR", "make a pull request", "open PR for this branch", "submit changes as PR", "push and create PR", or explicitly invokes "create-pr".

Why use Create Pr on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/fcakyon/claude-codex-settings/tree/main/plugins/github-dev/skills/create-pr. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Create 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 Create Pr?

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

Is the Create Pr AI skill free?

Yes. It is published on GitHub by fcakyon under the Apache-2.0 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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