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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

  1. Save 40-65% tokens — Compress long prompts into structured instructions. Same meaning, lower cost.
  2. Cross-platform — Compressed output works on ChatGPT, Claude, Gemini, DeepSeek, Kimi, 豆包, 元宝.
  3. Complete answers — AI provides full details with clear structure.
  4. Privacy friendly — Compressed text is shorter, sending less data.

How to Use

You don't need to install anything.

  1. Open the prompt.md file
  2. Copy the full text
  3. Paste it into any AI conversation
  4. 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.