Use this agent when you need to create GitHub issues for the project. The agent will collaborate with planner and python-dev agents to properly scope and describe the issue, then format it according to project standards before seeking user confirmation.\n\nExamples:\n- \n Context: The user wants to create a GitHub…
Use this agent when the user presents a complex, multi-step task that requires clarification, decomposition, or planning before execution. This includes:\n\n \nContext: User requests a large feature implementation that spans multiple components.\nuser: "I need to add support for PostgreSQL as a metadata store…
Use this agent when you need to write, refactor, or review Python code that requires expert-level quality, maintainability, and adherence to best practices. This includes:\n\n- Writing new Python modules, classes, or functions from scratch\n- Refactoring existing code to improve design, performance, or…
Use this agent when you need to create new tests, fix failing tests, refactor test code, or improve test organization and maintainability. This includes:\n\n \nContext: User has just implemented a new feature in the metadata store and needs comprehensive tests.\nuser: "I've added a new fallback store chain feature.…
Use this agent when:\n\n1. A logical unit of work has been completed (feature implementation, bug fix, refactoring)\n2. Code changes are ready for review before committing or creating a pull request\n3. You need to verify that acceptance criteria and definition of done are met\n4. After making changes to test files to…