Create Pr logo

Create Pr

Organization
Factory-AI
create-pr

Create a pull request with Conventional Commits formatting, a templated body, and local verification. Use when the user asks to create a PR, open a PR, submit changes for review, or put code up for review.

Overview

PublisherFactory-AI
Repositoryfactory-plugins
Skill namecreate-pr
Stars
111
Forks
15
Bundled files
Instructions only
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 Factory-AI 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/Factory-AI/factory-plugins.git /tmp/factory-plugins
mkdir -p .claude/skills
cp -r /tmp/factory-plugins/plugins/code-review/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 Pull Request

Create a PR with proper conventions: local verification, Conventional Commits title, a templated body, and an optional linked ticket. This skill is language- and framework-agnostic — substitute your project's actual build, lint, test, and format commands where examples are shown.

Prerequisites

Before starting, verify:

  1. Current branch has commits not on the base branch (git log origin/<base-branch>..HEAD --oneline)
  2. Branch is pushed to remote (git push -u origin HEAD if not)
  3. No uncommitted changes that should be included (git status)

Workflow

1. Understand the Changes

Run in parallel:

bash
git log origin/<base-branch>..HEAD --oneline
git diff origin/<base-branch>..HEAD --stat

Determine:

  • What changed: Which modules, packages, services, or directories were modified
  • Change type: feat, fix, docs, refactor, test, chore, perf, ci, build, revert
  • Scope: Primary module/package/service affected (use directory name or monorepo / repo for cross-cutting changes)
  • Is this a code change?: If the PR modifies source code (not only docs, markdown, or config-only changes), run the local verification checklist in step 2 before creating the PR.

2. Local Verification (for code changes)

Skip this step if the PR only touches documentation, markdown files, or other non-code files. For any change that touches source files, run your project's verification commands locally before creating the PR.

Discover the commands by reading the repo root (e.g. Makefile, package.json, pyproject.toml, Cargo.toml, go.mod, build.gradle, mix.exs, Gemfile, composer.json, justfile, Taskfile.yml, README.md, or the CI workflow config). Use filter/target flags where available (e.g. turbo --filter, nx --projects, pnpm --filter, bazel //path/..., cargo -p <crate>, pytest <path>, go test ./<pkg>/...) to run only the affected portions — it is faster than running the whole repo.

Common verification categories to run when applicable:

Typecheck / Compile

Run the project's static type check or compile step if it has one.

Examples across ecosystems (use whatever the repo defines):

  • TypeScript: npm run typecheck, pnpm -r typecheck, tsc --noEmit
  • Python (typed): mypy ., pyright, ty check
  • Rust: cargo check
  • Go: go build ./..., go vet ./...
  • Java/Kotlin: ./gradlew compileJava, ./mvnw compile
Lint / Format

Run the project's linter and formatter. Prefer an autofix target if one exists.

Examples:

  • JS/TS: npm run fix, npm run lint, eslint ., prettier --check .
  • Python: ruff check --fix ., ruff format ., black ., flake8
  • Rust: cargo clippy --all-targets, cargo fmt --check
  • Go: golangci-lint run, gofmt -l .
  • Shell: shellcheck, shfmt -d .
Tests

Run the unit/integration tests for affected packages.

Examples:

  • JS/TS: npm run test -- --filter=<workspace>, pnpm -r test, vitest run <path>, jest <path>
  • Python: pytest <path>, tox -e <env>, python -m unittest
  • Rust: cargo test -p <crate>
  • Go: go test ./<pkg>/...
  • Java/Kotlin: ./gradlew test, ./mvnw test
  • Ruby: bundle exec rspec <path>, rake test
Additional checks (run when relevant)
  • Unused exports / dead code: Run your project's dead-code check if it has one (e.g. knip, ts-prune, vulture for Python, deadcode / unused for Go, cargo udeps for Rust).
  • Dependency hygiene: Run your project's dependency check if it has one (e.g. depcheck, pip check, cargo audit, bundle audit).
  • Lockfile in sync: If you modified any dependency manifest (package.json, requirements.txt, pyproject.toml, Cargo.toml, go.mod, Gemfile, etc.), run the install command (npm install, pnpm install, uv sync, poetry lock --no-update, cargo update -w, go mod tidy, bundle install) and commit any lockfile changes. CI commonly fails if the lockfile is out of date.
  • Generated code / codegen: If the repo has an OpenAPI spec, protobuf, GraphQL schema, SQL migrations, or any other generated artifacts, regenerate and commit any changes.
  • Style / asset linters: Run stylesheet linters (stylelint, etc.) or asset linters if you changed those files.
  • Security scans: Run any security/secret scanners configured in the repo (trivy, semgrep, gitleaks, etc.).

3. Link to a Ticket (optional)

If your org uses an issue tracker, ask the user whether to:

  • Create a new ticket: Use the appropriate tool (Linear, Jira, GitHub Issues, etc.)
  • Link an existing ticket: Ask for the identifier (e.g. TEAM-1234, JIRA-567, #42)
  • Skip: Only if user explicitly says no ticket is needed

Most CI systems can be configured to require the ticket identifier in the PR body. Follow your org's convention.

4. Format PR Title

Follow Conventional Commits: type(scope): description

  • type: feat, fix, docs, refactor, test, chore, perf, ci, build, revert
  • scope: Name of the affected module/package/service/directory, or monorepo / repo for cross-cutting changes. Multiple scopes can be comma-separated: fix(a, b, c): ...

Examples:

  • feat(web): add dark mode toggle
  • fix(cli, daemon): load shell env at entrypoint
  • fix(api): handle nil response from upstream
  • chore(repo): bump dependencies

5. Generate PR Body

Fill in all sections from your PR template. A typical template has four sections:

markdown
## Description

<concise summary of what changed and why>

## Related Issue

Closes TEAM-XXXX
<!-- or: Part of TEAM-XXXX -->

## Potential Risk & Impact

<list risks, performance implications, technical debt>
<!-- Use "N/A" only if truly no risk -->

## How Has This Been Tested?

<describe testing performed: unit tests, manual testing, typecheck, lint>

6. Create the PR

bash
gh pr create \
  --base <base-branch> \
  --head <branch-name> \
  --title "<type>(<scope>): <description>" \
  --body "<generated body>"

If the body is long, write it to a temp file and use --body-file:

bash
gh pr create --base <base-branch> --head <branch> --title "..." --body-file /tmp/pr-body.md

7. Report Result

Return the PR URL to the user.

CI Checks Reference (template)

These are typical check categories that run on every PR. Map them to your repo's actual commands when adapting this skill.

Always-run checks

CategoryWhat it doesHow to find the local command
Typecheck / compileVerifies the project compiles or passes static typesCheck package.json, Makefile, pyproject.toml, Cargo.toml, go.mod, CI config
LintEnforces code style / correctness rulesCheck for lint, check, or equivalent scripts in the repo root
FormatEnforces consistent formattingCheck for format, fmt, prettier, black, gofmt, rustfmt, etc.
TestsRuns unit and integration testsCheck for test script / target
Dead code / unused exportsFlags unused codeCheck for knip, ts-prune, vulture, cargo udeps, etc.
Dependency checkFlags unused / vulnerable dependenciesCheck for depcheck, audit, cargo audit, etc.
Lockfile in syncFails if lockfile is stale relative to the manifestRun your package manager's install command and commit the lockfile
PR ConventionsValidates branch name, semantic title, ticket presenceFollow the formatting rules above

Conditional checks (run only when affected files change)

  • API / schema validation: Triggered by API or schema changes. Regenerate locally.
  • Platform-specific builds: Triggered when desktop/mobile/embedded targets are affected.
  • E2E tests: Triggered when the consumer app or top-level binary is affected.

Typical PR conventions CI enforces

  • Branch name: Max length, allowed characters (e.g. [A-Za-z0-9/-]).
  • Title: Conventional Commits format with a valid scope.
  • Ticket reference: PR body must contain a ticket identifier (often skipped for chore: and revert: types).

Common Mistakes to Avoid

  • Wrong base branch: Use the branch your org takes PRs into (e.g. dev, main, develop, trunk).
  • Missing scope: PR title CI check often requires a valid scope.
  • Missing ticket reference: Description must reference your ticket ID for CI to pass (except chore:/revert:).
  • Forgetting to push: Branch must be on remote before gh pr create.
  • Lockfile drift: Always run the install command and commit lockfile changes after dependency changes.
  • Skipping local checks on code PRs: Typecheck/compile, lint, and tests should be run locally before sending out code changes to catch issues early and avoid CI round-trips.
  • Uncommitted generated artifacts: After API/schema changes, regenerate and commit.

Frequently asked questions

What does the Create Pr AI skill do?

Create a pull request with Conventional Commits formatting, a templated body, and local verification. Use when the user asks to create a PR, open a PR, submit changes for review, or put code up for review.

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/Factory-AI/factory-plugins/tree/master/plugins/code-review/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?

It is published on GitHub by Factory-AI. Check the repository for licensing terms. 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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