What problem does it solve?
This Skill simplifies the complex decision of choosing the optimal MAP Framework workflow for your development tasks. It helps you balance token costs, learning capabilities, and quality gates, ensuring you always use the most efficient and effective AI strategy.
Core Features & Use Cases
- Decision Tree: A quick, interactive guide to select the best workflow (
/map-fast, /map-efficient, /map-feature, /map-debug, /map-refactor) based on your task.
- Comparison Matrix: Understand the trade-offs in token cost, learning, and quality gates for each workflow at a glance.
- Deep Dives: Access detailed explanations of each workflow's optimization strategy, agent orchestration, and specific use cases.
- Use Case: When starting a new feature, ask "Which workflow should I use for implementing user authentication?" and get a recommendation for
/map-feature with a clear explanation of why.
Quick Start
Which MAP workflow should I use for building a new production feature with moderate complexity?