Team Issue

The team-issue skill enables AI agents to interact with team-based issue tracking systems, allowing them to create, update, and query tasks within a collaborative workflow. It bridges the gap between code execution and project management by translating natural language requests into specific issue tracker actions.

When to use it

• You need an agent to automatically log bugs found during automated testing runs directly to your team's backlog.
• An agent should summarize daily code changes and propose new feature requests or tasks for human review.
• You want the agent to search existing issues for context before generating a solution to a reported problem.
• Your workflow requires updating issue statuses (e.g., moving from "To Do" to "In Progress") after code is committed.

Key capabilities

• Create new issues with custom titles, descriptions, and priority levels based on user input.
• Search and retrieve existing issues using keywords, assignees, or status filters.
• Update issue metadata such as labels, comments, and status assignments dynamically.
• Integrate seamlessly with team workflows to maintain synchronization between code and tasks.

Example prompts

• "Create a high-priority bug report for the login page timeout error we just fixed."
• "Search for any open issues related to the database migration script and summarize them."
• "Update issue #402 to 'In Progress' and assign it to the backend team lead."

Tips & gotchas

Ensure your AI agent has proper API credentials or permissions configured for your specific issue tracking platform before attempting operations. Be explicit about issue statuses and labels in prompts, as these often determine how humans triage work downstream.