What problem does it solve?
This Skill provides a structured framework for turning a task file with Step definitions, research and analysis references into production-ready code by an AI agent. It enforces test-first development and a self-critiquing process, ensuring code quality and alignment with existing patterns.
Core Features & Use Cases
- Test-Driven Implementation: Write tests before implementing code to verify acceptance criteria.
- Contextual Task Execution: Load Task File, Step, and Item, then trace through research and analysis.
- Self-Critique Loop: Perform critical evaluation to refine solution before completion.
- Pattern Reuse: Align with existing codebase patterns, interfaces, utilities, and tests.
- Documentation & Task File Updates: Update the task file with subtasks status after completion.
Quick Start
Describe the Task File path and Step to implement. The agent will load context, execute tests first, implement code following project patterns, perform self-critique, and update the task file with progress.