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Conventional Commit

Official
github·vlatest·backend·MIT

Generates standard commits following Conventional Commits specification for improved project maintainability and collaboration.

Repository

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 github/awesome-copilot --skill conventional-commit -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

github

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

    No SKILL.md was found in the skill's directory.

    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 github/awesome-copilot at 6c4d33b9cf.

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

Commit
6c4d33b9cf
Manifest
skills/conventional-commit/SKILL.md
Scanned
0 files
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 conventional-commit skill helps AI agents generate commit messages that follow the Conventional Commits specification. This ensures consistency in version control by using standardized types like feat, fix, and chore along with clear, concise descriptions.

When to use it

  • When preparing a commit message for a code change that needs to be documented consistently.
  • When working on collaborative projects where team members follow the Conventional Commits standard.
  • When automating commit message generation as part of a CI/CD pipeline or development workflow.

Key capabilities

  • Generates commit messages with proper type and scope.
  • Follows the structure: <type>(<scope>): <subject>.
  • Ensures clarity and consistency in version control history.

Example prompts

  • "Write a conventional commit message for adding a new feature to the authentication module."
  • "Generate a fix commit for a bug in the payment processing function."
  • "Create a chore commit for updating dependencies."

Tips & gotchas

  • Make sure your team agrees on the scope and types used, as conventions can vary slightly between projects.
  • This skill assumes familiarity with Conventional Commits; provide context if the AI agent needs to adapt to project-specific rules.