What problem does it solve? Turning a researched GitHub issue into a concrete, verifiable implementation plan is error-prone: plans often skip edge cases, lack testable acceptance criteria, or redo research that already exists. This Skill produces a structured plan with an explicit acceptance matrix before any code is edited. ## Core Features & Use Cases - Research Reuse: Loads prior research artifacts via handoff.py packets, spot-checks routes and persistence logic, and updates only invalidated findings instead of repeating broad research. - Acceptance Matrix: Defines input/scenario to observable response to state change to proving test, covering happy paths plus negative and edge cases such as malformed input, forbidden resources, and NULL/default rows. - Structured Plan Publication: Publishes a v2 Implementation plan JSON with contract revision, research fact IDs, steps, coverage map, and check manifest, then returns the plan URL and an /execute command. - Use Case: After researching a GitHub issue for a new API endpoint, run /plan to produce a 2-4 step implementation plan with targeted tests and a check manifest, ready for explicit /execute authorization. ## Quick Start Run /plan on the GitHub issue URL to generate an implementation plan with an acceptance matrix from the existing research artifact.
