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
- Shorter prompts — Compress long summarization prompts into one-line instructions.
- Same task — The compressed instruction asks for the same result.
- Cross-platform — I-Lang has been tested across ChatGPT, Claude, Gemini, DeepSeek, Kimi, Qwen and GLM (results: ilang.ai/benchmark/, May 2026).
- No install — No CLI, no brew, no npm, no binary, no API key. Copy, paste, done.
How to Use
- Copy the full protocol text from this skill page
- Paste it into any AI conversation
- 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
- 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.
