create-pr

Automating GitHub pull request creation involves analyzing code diffs and commit logs to generate a formatted PR title and body. This Skill delegates diff analysis to a sub-agent, minimizing main agent context usage while automatically crafting conventional commit titles and descriptive PR summaries for code review.

AI generates a PR body by delegating diff analysis to a sub-agent that reads your code changes and commit logs. It formulates a descriptive summary of the modifications, ensuring the main agent's context remains uncluttered while producing an accurate representation of your code changes for reviewers.

Yes, you can use conventional commit messages for automated pull request titles. The Skill adheres to conventional commit message formats when generating PR titles, ensuring your automated code review submissions maintain consistent and standardized naming conventions across your repository.

You need to have your code changes committed before initiating PR creation. The Skill analyzes existing commit logs and code diffs to generate the pull request, meaning your local repository changes should be finalized and committed to the git history before invoking the automation.

The best way to create a GitHub PR without manual writing is to use an AI-assisted automation tool. By offloading diff analysis and PR body generation to a sub-agent, it reads your code changes and automatically crafts a comprehensive summary and conventional commit title for your review.

The main agent loses context when generating large pull requests because processing extensive code diffs consumes significant context window space. This Skill mitigates that limitation by delegating diff analysis and PR body generation to a dedicated sub-agent, preserving the main agent's context for other tasks.