Github Automation

The GitHub automation skill enables AI agents to interact directly with repositories, allowing them to create issues, manage pull requests, and update project statuses autonomously. It streamlines workflow by letting agents execute standard repository management tasks without manual intervention.

When to use it

• Automatically generate and assign bug reports based on code analysis or user feedback.
• Create draft pull requests with suggested fixes for identified vulnerabilities.
• Update issue status labels and move tickets through the project pipeline.
• Notify team members of new commits or significant changes in specific branches.

Key capabilities

• Create issues with custom titles, descriptions, and assignees.
• Manage pull request lifecycle including creation and state updates.
• Modify issue metadata such as labels and priority levels.
• Trigger automated responses to repository events.

Example prompts

• "Create a high-priority issue for the login failure bug reported in ticket #402 and assign it to the security team."
• "Draft a pull request titled 'Fix memory leak in parser' based on the changes in branch feature/fix-leak."
• "Update all issues labeled 'stale' from the last 30 days to status 'closed' with a comment explaining the reason."

Tips & gotchas

Ensure your AI agent has valid OAuth tokens with sufficient repository permissions before attempting write operations. This skill is designed for standard GitHub workflows and may not support complex custom actions or private enterprise features without additional configuration.