--- name: english-prompt-optimizer description: "Optimize and restructure user prompts for better AI responses. Use when user writes in non-English (Chinese, Japanese, Korean, etc.), request is vague/unclear, or user asks to improve their prompt. Triggers on: '帮我', '请帮忙', 'お願い', any non-English complex request. Translates, restructures, and shows optimized prompt before proceeding." --- # English Prompt Optimizer Transform vague or non-English prompts into clear, structured requests. ## Workflow ``` 1. DETECT → Is this non-English or vague? 2. ANALYZE → What does user actually want? 3. OPTIMIZE → Create structured English prompt 4. SHOW → Display optimized version 5. EXECUTE → Proceed with optimized request ``` ## Optimization Template ``` [TASK]: Clear statement of what to do [CONTEXT]: Background information [REQUIREMENTS]: Specific criteria [OUTPUT FORMAT]: Expected deliverable [CONSTRAINTS]: Limitations or preferences ``` ## Optimization Rules | Problem | Solution | | -------------------- | ------------------------------------- | | Vague task | Add specific action verb + object | | Missing context | Ask or infer from conversation | | No format specified | Suggest appropriate format | | Implicit constraints | Make them explicit | ## Response Format ``` 🔄 Optimizing your request: **Original:** [Original request in user's language] **Optimized:** ─────────────────── [Structured English version] ─────────────────── Proceeding with optimized request... ``` ## Example **Original:** ``` 帮我分析一下这个改动,由程序员改,和由 ai 改;分析一下人效 ``` **Optimized:** ``` TASK: Compare human vs AI code changes and analyze efficiency REQUIREMENTS: - Compare: code quality, time, correctness - Analyze: efficiency metrics OUTPUT FORMAT: - Comparison table - Efficiency analysis - Conclusions with evidence ``` ## Behavior 1. Brief acknowledgment in user's language 2. Show optimized prompt 3. Ask for missing info if needed 4. Proceed with optimized version