What problem does it solve? Vague or incomplete prompts lead to poor AI coding results. This Skill diagnoses weaknesses in a draft prompt, detects the project tech stack, and produces a ready-to-paste optimized prompt wired to the right ECC commands, skills, and agents. ## Core Features & Use Cases - Six-Phase Analysis Pipeline: Detects project tech stack, classifies intent (feature, bug fix, refactor, research, testing, review, docs, infrastructure, design), assesses scope from TRIVIAL to EPIC, and identifies missing context. - ECC Component Matching: Maps intent and tech stack (Python, Go, TypeScript, Swift, Kotlin, Java, and more) to specific commands like /plan, /tdd, /code-review, and /verify, plus matching skills and agents. - Structured Output: Delivers a diagnosis table, recommended components, full and quick optimized prompt versions, and model recommendations (Sonnet 4.6 vs Opus 4.6). - Use Case: A user pastes "帮我写一个用户登录页面". The Skill detects a Next.js project, then outputs a complete Chinese prompt covering auth requirements, TDD workflow, security constraints, acceptance criteria, and scope boundaries. ## Quick Start Ask the assistant to optimize your draft prompt, for example by saying "optimize this prompt: add a REST API endpoint for user profile updates".