What problem does it solve? Vague or underspecified prompts cause AI coding assistants to produce off-target results, touch unrelated files, or ignore project constraints. This Skill rewrites rough prompts into precise, scoped, actionable prompts aligned with the project's OpenSpec spec-driven development workflow. ## Core Features & Use Cases - Structured Prompt Rewriting: Transforms raw prompts using a defined template covering role, objective, scope, constraints, expected output, verification, and guardrails. - Prompt Type Templates: Provides dedicated structures for OpenSpec change prompts, implementation prompts, debugging prompts, code review prompts, documentation prompts, and Git/commit prompts. - Selective Context Loading: Injects only the relevant standards files (backend, frontend, product, documentation, or Git) instead of telling the assistant to read the whole repository. - Use Case: A developer pastes "add product catalog management" and receives a complete OpenSpec change prompt with business rules, acceptance criteria, non-goals, and explicit instructions not to implement code yet. ## Quick Start Ask the assistant to rewrite your rough prompt, for example: improve this prompt for implementing product catalog management in Claude Code.