What problem does it solve?
Converts ambiguous or incomplete task descriptions into a clear, high-level draft document that captures the WHAT and WHY so work is planned before any implementation decisions are made.
Core Features & Use Cases
- Enforces a mandatory two-phase pipeline: Phase 1 gathers missing context via a consolidated checklist and user questions, and Phase 2 writes a structured draft.md based on those answers.
- Provides strict templates and self-check rules to separate facts from implementation, specify observable outputs, and guard destructive operations.
- Use Case: Preparing a feature implementation or experiment plan where constraints, inputs, outputs, and acceptance criteria must be explicitly recorded before coding or training.
Quick Start
Invoke the gen-draft skill by running /gen-draft and answer the checklist questions to produce a structured draft.md capturing goal, inputs, outputs, constraints, and observable outputs.