less-token

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.

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:

text

[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:

text

[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

• 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.