What problem does it solve? Turning a written spec or set of tickets into working, tested code requires disciplined execution: writing tests first, running typechecks, and reviewing the result. This Skill guides an AI agent through that implementation workflow so the work is completed and committed consistently. ## Core Features & Use Cases - Spec-Driven Implementation: Builds the work described in a spec or ticket set, following test-driven development at pre-agreed seams. - Continuous Verification: Runs typechecking and individual test files regularly, then the full test suite once at the end. - Review and Commit: Finishes by running a code review pass and committing the work to the current branch. - Use Case: You hand the agent a feature ticket for a new API endpoint; it implements the change with tests, verifies types and the test suite, reviews the diff, and commits it to your branch. ## Quick Start Ask the agent to implement the work described in your spec or tickets on the current branch.