把自然语言描述转为结构化 JSON,并由 mcp-diagram-generator MCP 服务生成 Draw.io、Mermaid 或 Excalidraw 图表文件。
编程
no-prompt
试用Stop learning prompt engineering. Tell AI what you want in plain language — AI writes a structured instruction for you in I-Lang. Copy it to other AIs as a well-structured starting point. Zero prompt skills needed. Generates text instructions only, no code, no install, no credentials. Results may vary by model.
它能做什么
**Stop learning prompt engineering.** You don't need 58 techniques. You don't need courses. You don't need to study.
技能文档
No Prompt
Stop learning prompt engineering. You don't need 58 techniques. You don't need courses. You don't need to study.
Just tell your AI what you want in plain language. It writes a structured instruction for you. Copy that instruction to another AI as a starting point. Done.
This skill generates structured I-Lang instructions only. It does not execute commands, access files, or call external services. Generated instructions are well-structured prompts for other AIs — results may vary by model, so review before use on sensitive tasks.
The Idea
Old way: Human learns prompt engineering → writes optimized prompt → sends to AI
No Prompt: Human says what they want → AI writes I-Lang instruction → copy to any AI
AI is better at writing prompts than you are. Let it.
What You Get
- Zero learning curve — Say what you want in your own words. AI does the rest.
- AI-to-AI communication — AI A writes the instruction, AI B executes it. Perfect handoff.
- Cross-platform — Instruction from ChatGPT works in Claude, Gemini, DeepSeek, Kimi, 豆包, 元宝.
- Better than hand-written prompts — Structured I-Lang instructions are more precise than human prose.
- 40-65% fewer tokens — Compressed instructions cost less to execute.
How to Use
- Copy the protocol text from this skill page
- Paste it into any AI conversation
- AI responds — ready to generate instructions
Three Ways to Use
Way 1: Generate instructions for yourself
Say: "I want to summarize a long article into 5 key takeaways in professional tone"
AI returns:
[SUM|key=takeaways,cnt=5,ton=pro]=>[OUT]
Copy this. Use it anytime you need the same task. Works across major AIs.
Way 2: AI-to-AI handoff
Tell AI A: "Write me an I-Lang instruction that makes another AI compare two business strategies and recommend the better one"
AI A returns:
[CMP|key=strategy]=>[EVAL|ton=pro]=>[RANK]=>[OUT|fmt=md]
Paste into AI B. AI B follows the structured format. Two AIs, one language.
Way 3: Build a personal instruction library
Ask AI to generate I-Lang instructions for tasks you do repeatedly. Save them. Reuse forever.
- Weekly report:
[SUM|sty=executive,ton=formal,fmt=md]=>[OUT] - Code review:
[EVAL|key=bugs,quality]=>[SUM|sty=bullets]=>[OUT] - Email draft:
[DRAFT|ton=pro,len=short]=>[OUT] - Meeting notes:
[SUM|key=decisions,action_items,sty=bullets]=>[OUT] - Translation:
[TRANSLATE|lang=zh,ton=natural]=>[FMT|fmt=md]=>[OUT]
Comparison
| Feature | Prompt engineering courses | Prompt optimizer tools | No Prompt |
|---|---|---|---|
| Learning time | Weeks/months | Hours | Zero |
| Cost | $50-500 | Free-$20/mo | Free |
| Install required | No | Often yes | No |
| Remembering techniques | 58+ techniques | Tool-dependent | AI remembers for you |
| Cross-platform | Depends | Usually single | Major AIs |
| Token efficiency | Varies | Standard | 40-65% savings |
| Who writes the prompt | You | Tool assists you | AI writes it for you |
Before & After
Before (you writing a prompt manually):
I need you to act as an expert analyst. Please carefully read through the following two business proposals. Compare them point by point across these dimensions: cost, timeline, risk, team requirements, and expected ROI. Then provide your professional recommendation with detailed reasoning for which proposal is stronger overall.
After (AI-generated I-Lang):
[CMP|key=cost,timeline,risk,team,ROI]=>[EVAL|ton=pro]=>[RANK]=>[OUT|fmt=md]
85% fewer tokens. More precise. Works across major AIs.
Tested Platforms
ChatGPT ✅ · Claude ✅ · Gemini ✅ · DeepSeek ✅ · Kimi ✅ · 豆包 ✅ · 元宝 ✅
Links
- Protocol & tools: https://ilang.ai
- Full dictionary: https://github.com/ilang-ai/ilang-dict
- Research: https://research.ilang.ai
License
MIT — Free to use, share, and build on.
© 2026 I-Lang Research, iLang Inc., Canada.
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