Github Pr Triage
ListedAutomatically categorizes, assigns, and prioritizes GitHub pull requests based on content and labels.
Install on your platform
github-pr-triage. code-yeongyu/oh-my-openagent has no skill named "github-pr-triage" any more. It was renamed, moved or deleted upstream.We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-22. We don't show a command we know will fail.
What we know about this skill
Publisher
code-yeongyu
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
We could not read this skill's source, so none of the checks below were run.
About this skill
The github-pr-triage skill automates the review and management of Pull Requests within GitHub repositories. It assists maintainers by analyzing code changes, suggesting labels, and streamlining the approval workflow to improve project efficiency.
When to use it
- You need to quickly assess the scope and quality of incoming pull requests before assigning them to reviewers.
- Your team requires consistent labeling of PRs based on specific criteria like bug fixes, features, or documentation updates.
- You want to reduce manual overhead by automatically summarizing changes for maintainers during code review.
- Maintaining a healthy repository workflow where stale or low-priority issues are identified and managed proactively.
Key capabilities
- Analyzes pull request content to extract relevant metadata and context.
- Suggests appropriate labels based on the nature of the code changes.
- Facilitates faster decision-making by providing concise summaries of proposed modifications.
Example prompts
- "Review this pull request and suggest a label based on its content."
- "Summarize the key changes in this PR for the maintainers."
- "Identify potential issues or missing documentation in this code submission."
Tips & gotchas
Ensure your GitHub repository has proper labeling conventions configured before relying on automated suggestions. This skill works best when integrated into a broader workflow that includes human oversight for critical decisions.