Pr Creator logo

Pr Creator

Community
mblode
pr-creator

Creates or updates GitHub PRs with house-style titles and bodies, issue linking, repository templates, and draft state. Use when asked to "create a PR", "rewrite the PR description", or "polish this PR". For code fixes use tidy; for CI and review threads use pr-babysitter; for npm releases use autoship.

Overview

Publishermblode
Repositoryagent-skills
Skill namepr-creator
Stars
118
Forks
11
Bundled files
2
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.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Pr Creator 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/mblode/agent-skills.git /tmp/agent-skills
mkdir -p .claude/skills
cp -r /tmp/agent-skills/skills/pr-creator .claude/skills/pr-creator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pr Creator 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 Creator 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 Creator 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-creator

Write PR descriptions like a developer posting in Slack, not an AI summarizing a diff.

  • IS: creating or updating a GitHub PR's title, body, draft state, and reviewers, plus the commit restructuring and review path that make a large diff readable.
  • IS NOT: changing the code in the diff (use tidy), reviewing it for bugs (use pr-reviewer), watching CI and review comments after the PR exists (use pr-babysitter), or cutting npm releases (use autoship).

Reference Files

FileRead When
references/pr-polish.mdCommits contain fixup, WIP, or "address review" noise, the diff exceeds 500 lines, or the user asks to polish, restructure, squash, or split the PR

Workflow

Copy this checklist to track progress:

text
PR creation progress:
- [ ] Inspect the current branch and diff against the existing PR base, or the discovered default branch merge-base
- [ ] Existing PR? gh pr view --json url,state,isDraft (state OPEN means edit, not create)
- [ ] Linear ID from branch, commits, prompt, or issue link; no ID means no prefix
- [ ] Noisy commits or a >500-line diff? references/pr-polish.md, before pushing
- [ ] PR template present? Read it (paths under Templates)
- [ ] Draft title and body against Rules and Anti-patterns
- [ ] git push -u origin HEAD
- [ ] gh pr create (or gh pr edit); then gh pr view --json url,title and return the URL

Do not ask the user to approve the description first; the point is speed. They can ask for a rewrite and you run gh pr edit.

Rules

  1. Title. With a Linear ID: ABC-123: Add auth flow. Without one: Add auth flow. Under 60 characters, no trailing period. If the repo lints PR titles (a semantic-pull-request or commitlint workflow under .github/workflows/), use its shape and put the ID at the end: feat: add auth flow (ABC-123). Linear links on the ID wherever it sits in the title.
  2. Body. One short paragraph: what changed and why it matters. Length follows the change; a one-line body is fine for a one-line fix.
  3. No fake why. If the reason is not in the prompt, the Linear issue, the branch, the commits, or the diff, leave it out rather than inventing one.
  4. Risk only when real. One Risk: line for migrations, billing, auth, permissions, irreversible writes, wide blast radius, or a subtle behavior change. Otherwise nothing.
  5. Testing only if real. Say what you ran only if you ran it. Never a Test plan section, never checkboxes.
  6. Partial work. If this PR does not finish the Linear issue, keep the ID out of the title and write Part of ABC-123 in the body. Linear's default automation moves a linked issue to Done when the PR merges; the non-closing magic word links without closing.
  7. Draft and reviewers only when asked. --draft for "draft" or "WIP"; gh pr ready promotes it later, gh pr ready --undo demotes. --reviewer alice,org/team only for people the user named; CODEOWNERS already requests owners.
  8. Stop after the useful content. The harness's attribution setting owns the PR footer (Generated with Claude Code, session link). Never hand-write one, and never strip one the harness or a repo policy appends. Everything above the footer is this skill's; its one-paragraph body replaces the harness's default Summary and Test plan sections.

Anti-patterns: never write these

  • Openers that narrate the artifact: "This PR implements...", "This change ensures...", "This commit introduces..."
  • Changelog verbs with no reason attached: "Refactored X to improve Y", "Updated Z to handle...", "Added comprehensive test coverage for..."
  • Lines that start with a filename or path; the diff already lists the files
  • A Test plan section with checkboxes
  • A bullet list that restates the diff

Examples

Feature (ABC-123 is the real Linear ID)

text
Title: ABC-123: Add auth flow with session management

Adds the auth flow needed for session-based login, including refresh, timeout handling, and a small error boundary for auth failures.

Bugfix (real risk, real testing)

text
Title: PAY-482: Dedupe Stripe webhook retries

Stripe retries webhooks on timeout and our handler wasn't idempotent, so retried events created duplicate invoices. Now we record processed event IDs and skip repeats. Tested by replaying a captured retry sequence locally.

Risk: touches the billing write path.

Chore (no Linear ID, no why beyond the diff)

text
Title: Bump eslint to 9 and fix the new no-unused-vars hits

Bumps eslint to 9. The only code change is removing three unused imports it now flags.

The first two carry the real why from the commits and stop. Risk: earns its line in the second because the diff touches billing writes; the testing sentence is there only because a replay actually ran. The third has no deeper why, so it does not pretend to.

Templates

GitHub reads the first match of pull_request_template.md (case-insensitive) in .github/, the repo root, or docs/, or a PULL_REQUEST_TEMPLATE/ directory in any of those for multiple templates. gh pr create --body skips the template entirely, so when one exists, read it and write the body in its shape: keep its headings, answer each in a sentence or two, and put the one-paragraph description under the first heading. Add nothing the template does not ask for.

Creating the PR

Write the exact body to a temporary file with the file tool, then pass its path through --body-file. The examples use /tmp/pr-body.md; choose a task-specific temporary path during execution.

No PR yet: create

bash
git push -u origin HEAD   # when creating a PR for local commits

gh pr create --title "ABC-123: Add auth flow" --body-file /tmp/pr-body.md

gh pr view --json url,title   # evidence the PR exists; return the url

Add --draft or --reviewer here when Rule 7 applies. --base only when the target is not the default branch.

PR already open: update title and body

gh pr edit overwrites the title and body wholesale, so draft the full replacement, not a patch. Same rules and anti-patterns apply.

bash
# A metadata-only edit does not push local commits.

gh pr edit --title "ABC-123: Add auth flow" --body-file /tmp/pr-body.md

gh pr view --json url,title   # confirm the update; return the url

Gotchas

  • gh pr create on a branch with no upstream: in a TTY it blocks on a "Where should we push?" prompt; from a non-interactive harness it aborts with you must first push the current branch to a remote, or use the --head flag. Either way, git push -u origin HEAD first.
  • Non-interactive gh pr create needs both --title and --body (or --fill); without them it exits with must provide --title and --body (or --fill) when not running interactively. --fill copies commit messages verbatim, which is exactly the changelog body this skill exists to avoid.
  • Quote the heredoc delimiter (<<'EOF'). Unquoted <<EOF lets the shell expand backticks and $vars in the body, corrupting the description or running commands.
  • Two different failures look alike: on the default branch, gh pr create aborts with must be on a branch named differently than "main"; on a branch with nothing new against the base it fails with No commits between main and <branch>. The first needs a branch, the second a commit.
  • A branch with an open PR fails gh pr create with a pull request for branch ... into branch main already exists. gh pr view --json state first; OPEN means gh pr edit. A MERGED or CLOSED result is a stale PR, so create a new one.
  • Derive the Linear ID from the branch, uppercased: Linear's default branch format is username/abc-123-title-slug, so mblode/abc-123-add-auth gives ABC-123. Never guess an ID: Linear links the PR to whatever ID the title contains, and a wrong one moves someone else's issue.
  • Plain git diff omits committed changes. Use the actual PR base with three-dot diff; do not assume main, especially for stacked PRs.
  • Restructure commits before the first push. Force-pushing a rewritten branch under an open PR marks existing inline comments "outdated" and the reviewer loses their thread.

Related skills

  • pr-reviewer: run before creating to check the diff for bugs.
  • tidy: applies fixes to the code in the diff; this skill edits only the PR and its commits.
  • pr-babysitter: hand off after creation to watch CI, conflicts, and review comments.
  • autoship: npm release pipeline (changesets, version PR, publish); "ship it" without release context routes here instead.

Maintenance only: evals/evals.json contains regression scenarios for changes to this skill; it does not load during a user task.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Pr Creator AI skill do?

Creates or updates GitHub PRs with house-style titles and bodies, issue linking, repository templates, and draft state. Use when asked to "create a PR", "rewrite the PR description", or "polish this PR". For code fixes use tidy; for CI and review threads use pr-babysitter; for npm releases use autoship.

Why use Pr Creator on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mblode/agent-skills/tree/main/skills/pr-creator. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Pr Creator?

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 Creator?

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

Is the Pr Creator AI skill free?

Yes. It is published on GitHub by mblode 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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