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less-token

Less Token 是纯提示词转换类 Skill:把冗长的小结、改写等摘要提示词压缩成 I-Lang 单行结构化指令,声称任务结果不变。使用时复制粘贴协议文本到任意 AI 对话即可,无需安装、无 API key。材料仅提供说明文档与压缩模板示例,未包含可执行脚本、字典资源或效果独立验证。

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adsorgcn
热度 60.98
最近更新 2026-09-13 16:08:28
分类:效率依赖:纯提示词应用场景:摘要总结 / 模板 / 工作流

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add less-token
Metadata
name
less-token
description
Compress verbose summary prompts into structured one-line instructions. Text-to-text translator only — no CLI, no API key, no install, no external dependencies. I-Lang has been tested across ChatGPT, Claude, Gemini, DeepSeek, Kimi, Qwen and GLM. Instruction-only, zero dependencies.
version
1.0.5
author
ilang-ai
homepage
https://ilang.ai
tags
["summarize","summary","token-saving","token-optimizer","prompt-compression","productivity","cross-platform","no-install","ai-assistant","workflow"]

Less Token

Compress verbose summarization prompts into structured one-line instructions.

This skill is a text-to-text translator only. It does not access files, fetch URLs, execute commands, or call external services. It only converts your summarization prompts into compressed syntax.

What You Get

  1. Shorter prompts — Compress long summarization prompts into one-line instructions.
  2. Same task — The compressed instruction asks for the same result.
  3. Cross-platform — I-Lang has been tested across ChatGPT, Claude, Gemini, DeepSeek, Kimi, Qwen and GLM (results: ilang.ai/benchmark/, May 2026).
  4. No install — No CLI, no brew, no npm, no binary, no API key. Copy, paste, done.

How to Use

  1. Copy the full protocol text from this skill page
  2. Paste it into any AI conversation
  3. AI responds — ready to compress

Quick Test

After pasting, try:

  • "Compress this: Please summarize the key points from this document in 3 professional bullet points"
  • AI returns: [SHRT|sty=bullets,len=3,ton=pro]=>[OUT]

Compression Templates

What you want Verbose prompt Compressed
Short summary "Give me a brief summary of the main points" [SHRT|len=short]=>[OUT]
3 bullet points "Summarize in 3 concise bullet points" [SHRT|sty=bullets,len=3]=>[OUT]
Professional report "Create a professional executive summary in Markdown" [SHRT|ton=pro,sty=executive,fmt=md]=>[OUT]
Key findings only "Extract only the key findings and important data" [SHRT|whr=findings]=>[OUT]
Summarize + translate "Summarize then translate to Chinese" [SHRT|len=short]=>[XLAT|lng=zh]=>[OUT]
Compare + summarize "Compare these two and summarize the differences" [DIFF]=>[SHRT|sty=bullets]=>[OUT]
Reformat summary "Summarize as bullet points in Markdown" [SHRT|sty=bullets]=>[FMT|fmt=md]=>[OUT]

Before & After

Before:

Please read through this document carefully, identify the most important points and key takeaways, then write a concise professional summary using bullet points.

After:

[SHRT|whr=important,sty=bullets,ton=pro]=>[OUT]

Before:

Take the main findings from the text above and rewrite them as a short executive summary suitable for a business audience.

After:

[SHRT|sty=executive,ton=pro]=>[OUT]

Comparison

Feature CLI-based tools Less Token
Install required Yes (brew, npm, binary) No
API key required Yes No
Platforms Single platform I-Lang tested on ChatGPT, Claude, Gemini, DeepSeek, Kimi, Qwen and GLM
Token efficiency Standard prompts Shorter one-line prompts
Setup time 5-10 minutes 30 seconds
External dependencies Multiple Zero

Tested Platforms

I-Lang has been tested across ChatGPT, Claude, Gemini, DeepSeek, Kimi, Qwen and GLM. Results by model are published on ilang.ai/benchmark/, tests conducted May 2026.

Links

License

MIT — Free to use, share, and build on.

© 2026 I-Lang Research, iLang Inc., Canada.