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Pr Creator

Official
google-gemini·vlatest·backend·Apache-2.0

Pr Creator generates pull request drafts based on a prompt, streamlining collaboration and accelerating development workflows.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add google-gemini/gemini-cli --skill pr-creator -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

google-gemini

Matched to the vendor's own GitHub organisation.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    SKILL.md frontmatter is missing description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned google-gemini/gemini-cli at fe6350238c.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
1 file, 84 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The pr-creator skill automates the creation of pull requests (PRs) by generating code changes, writing commit messages, and submitting PRs to version control systems like GitHub or GitLab. It is particularly useful for streamlining development workflows in collaborative coding environments.

When to use it

  • You need to quickly submit bug fixes or feature enhancements without manual intervention.
  • Your team follows a strict CI/CD pipeline that requires frequent code updates and automated PRs.
  • You want to reduce the time spent on repetitive tasks like writing commit messages or formatting pull requests.

Key capabilities

  • Automatically generates clean, well-documented code changes.
  • Creates descriptive commit messages based on the context of the change.
  • Submits pull requests directly to version control platforms.
  • Integrates with CI/CD tools for seamless deployment workflows.

Example prompts

  • "Create a PR that adds a new user authentication feature using OAuth2."
  • "Generate a pull request for fixing the login bug in the dashboard module."
  • "Submit a PR with improvements to the API response formatting."

Tips & gotchas

  • Ensure your version control system credentials are securely configured before use.
  • Review generated code and commit messages to align with team standards, as AI output may not always match specific style guides.