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
everything-is-ok
试用无所不能 — Universal prompt compression protocol. Translate natural language into compressed I-Lang syntax. Text-to-text translator only — does not access files, URLs, or external resources. I-Lang has been tested across ChatGPT, Claude, Gemini, DeepSeek, Kimi, Qwen and GLM. Instruction-only, no code, no credentials.
它能做什么
Universal prompt compression protocol. Translate any natural language prompt into compressed I-Lang syntax. Save 40-65% tokens, same meaning.
技能文档
Everything is OK(无所不能)
Universal prompt compression protocol. Translate any natural language prompt into compressed I-Lang syntax. Save 40-65% tokens, same meaning.
This skill is a text-to-text translator only. It does not access files, fetch URLs, or execute commands. It only converts your text into compressed syntax.
What You Get
- Save 40-65% tokens — Compress long prompts into structured instructions. Same meaning, lower cost.
- Cross-platform — Compressed output works on ChatGPT, Claude, Gemini, DeepSeek, Kimi, 豆包, 元宝.
- Complete answers — AI provides full details with clear structure.
- Privacy friendly — Compressed text is shorter, sending less data.
How to Use
You don't need to install anything.
- Open the
prompt.mdfile - Copy the full text
- Paste it into any AI conversation
- AI responds — ready to compress
Quick Test
After pasting, try:
- "Compress this: Summarize the key points in 3 professional bullet points"
- AI returns:
[SUM|sty=bullets,cnt=3,ton=pro]=>[OUT] - Shorter, same meaning.
Before & After
Before (12 words):
Rewrite this paragraph in a more casual and friendly tone
After (4 words):
[REWRITE|ton=casual]=>[OUT]
67% fewer tokens. Same result.
Before (10 words):
Compare these two options and show me the differences
After (4 words):
[CMP]=>[DIFF]=>[OUT|fmt=md]
60% fewer tokens. Same result.
Tested Platforms
ChatGPT ✅ · Claude ✅ · Gemini ✅ · DeepSeek ✅ · Kimi ✅ · 豆包 ✅ · 元宝 ✅
Links
- Website: https://ilang.ai
- Dictionary: https://github.com/ilang-ai/ilang-dict
- Research: https://research.ilang.ai
- AI See: https://i.ilang.ai
License
MIT — Free to use, share, and build on.
© 2026 I-Lang Research, iLang Inc., Canada.
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