| name | everything-is-ok |
| description | 无所不能 — Universal prompt compression protocol. Translate natural language into compressed I-Lang syntax (save 40-65% tokens). Text-to-text translator only — does not access files, URLs, or external resources. Works with ChatGPT, Claude, Gemini, DeepSeek, Kimi. Instruction-only, no code, no credentials. |
| version | 1.0.4 |
| author | ilang-ai |
| homepage | https://ilang.ai |
| tags | ["prompt","productivity","compression","token-saving","cross-platform","communication","optimization","ai-assistant","workflow","universal"] |
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.md file
- 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
License
MIT — Free to use, share, and build on.
© 2026 I-Lang Research, iLang Inc., Canada.
