Pull Request Automation
CheckedAutomates pull request creation, review assignment, and merging based on defined rules and branch policies.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add aj-geddes/useful-ai-prompts --skill pull-request-automation -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
aj-geddes
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a 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 aj-geddes/useful-ai-prompts at 3f5182cfd7.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 3f5182cfd7
- Scanned
- 9 files, 361 lines
About this skill
pull-request-automation
What it does
This skill enables AI agents to automatically generate, review, and manage pull requests within a repository. It streamlines the code submission process by handling routine tasks like creating PRs from branches or drafting initial reviews based on defined criteria.
When to use it
- Automating the creation of pull requests when a feature branch is ready for merging.
- Triggering automated code quality checks before a human reviewer inspects changes.
- Drafting standardized review comments to ensure consistent feedback across the team.
- Managing merge conflicts or status updates without manual intervention.
Key capabilities
- Automated PR Creation: Instantly generates pull requests from specified source and target branches.
- Review Orchestration: Facilitates the review process by preparing necessary documentation and comments.
- Workflow Integration: Connects directly with Git repositories to execute standard version control workflows.
Example prompts
- "Create a pull request from my
feature-loginbranch intomainwith the title 'Add user authentication'." - "Review the changes in the current pull request and suggest improvements for the login module based on security best practices."
- "Update the status of this pull request to 'Ready for Merge' after all checks pass."
Tips & gotchas
Ensure your AI agent has the necessary read/write permissions for the target repository before attempting to create or modify pull requests. Always verify that the branch names and commit messages align with your team's naming conventions to avoid confusion in the code history.