소개
The Frame skill serves as the foundational entry point for FABER-driven workflows, ensuring every task starts with a clear context and a ready-to-use environment. It integrates with issue trackers like GitHub, Jira, and Linear to retrieve work details, automatically classifies the nature of the task (e.g., bug vs. feature), and handles boilerplate setup such as creating git branches and installing dependencies. By providing a deterministic way to initialize work, this skill eliminates manual setup overhead and ensures that subsequent AI agents have the necessary data to perform architecture and implementation tasks correctly.
