Automate Github Issues

The automate-github-issues skill enables AI agents to programmatically manage GitHub Issues, allowing for the creation, updating, closing, and commenting on issues within repositories. It streamlines project management by letting agents track bugs, feature requests, and tasks directly through code execution.

When to use it

• Automatically triaging incoming bug reports by assigning them to specific developers based on error logs.
• Generating detailed status updates for long-running tasks by modifying issue descriptions with progress data.
• Closing resolved issues and archiving related discussions once a pull request is merged successfully.
• Creating new issues from automated test failures detected in CI/CD pipelines without human intervention.

Key capabilities

• Create new GitHub Issues with custom titles, bodies, and labels.
• Update existing issue descriptions and assignees dynamically.
• Add comments to threads to provide context or request clarification.
• Transition issues between open, closed, and other states.
• Interact with specific repositories within a user's GitHub organization.

Example prompts

• "Create a new high-priority issue in the 'backend-service' repo titled 'Memory Leak in Auth Module' and assign it to @dev-team-lead."
• "Add a comment to issue #42 explaining that the fix has been verified on the staging environment."
• "Close all issues labeled 'duplicate' that were created before last week."

Tips & gotchas

Ensure your AI agent has valid GitHub authentication tokens with sufficient permissions (e.g., repo scope) to modify issues in target repositories. Be cautious when automating issue closure, as agents may misinterpret context and close valid ongoing discussions prematurely.