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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.
npx skill4agent add learnwy/skills english-prompt-optimizer1. 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[TASK]: Clear statement of what to do
[CONTEXT]: Background information
[REQUIREMENTS]: Specific criteria
[OUTPUT FORMAT]: Expected deliverable
[CONSTRAINTS]: Limitations or preferences| 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 |
🔄 Optimizing your request:
**Original:** [Original request in user's language]
**Optimized:**
───────────────────
[Structured English version]
───────────────────
Proceeding with optimized request...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