Save 40-65% tokens on summarization tasks. Compress verbose natural language prompts into structured one-line instructions that any AI understands.
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.
After pasting, try:
[SUM|sty=bullets,cnt=3,ton=pro]=>[OUT]| What you want | Verbose prompt | Compressed | ||
|---|---|---|---|---|
| -------------- | ---------------- | ------------ | ||
| Short summary | "Give me a brief summary of the main points" | `[SUM\ | len=short]=>[OUT]` | |
| 3 bullet points | "Summarize in 3 concise bullet points" | `[SUM\ | sty=bullets,cnt=3]=>[OUT]` | |
| Professional report | "Create a professional executive summary in Markdown" | `[SUM\ | ton=pro,sty=executive,fmt=md]=>[OUT]` | |
| Key findings only | "Extract only the key findings and important data" | `[SUM\ | key=findings]=>[OUT]` | |
| Summarize + translate | "Summarize then translate to Chinese" | `[SUM\ | len=short]=>[TRANSLATE\ | lang=zh]=>[OUT]` |
| Compare + summarize | "Compare these two and summarize the differences" | `[CMP]=>[DIFF]=>[SUM\ | sty=bullets]=>[OUT]` | |
| Reformat summary | "Summarize as bullet points in Markdown" | `[SUM\ | sty=bullets]=>[FMT\ | fmt=md]=>[OUT]` |
Before (28 words):
> Please read through this document carefully, identify the most important points and key takeaways, then write a concise professional summary using bullet points.
After (7 words):
[SUM|key=important,sty=bullets,ton=pro]=>[OUT]
75% fewer tokens. Same result.
Before (22 words):
> Take the main findings from the text above and rewrite them as a short executive summary suitable for a business audience.
After (5 words):
[SUM|sty=executive,ton=pro]=>[OUT]
77% fewer tokens. Same result.
| Feature | CLI-based tools | Less Token |
|---|---|---|
| --------- | ---------------- | ------------ |
| Install required | Yes (brew, npm, binary) | No |
| API key required | Yes | No |
| Works on | Single platform | Any AI platform |
| Token efficiency | Standard prompts | 40-65% fewer tokens |
| Setup time | 5-10 minutes | 30 seconds |
| External dependencies | Multiple | Zero |
ChatGPT ✅ · Claude ✅ · Gemini ✅ · DeepSeek ✅ · Kimi ✅ · 豆包 ✅ · 元宝 ✅
MIT — Free to use, share, and build on.
© 2026 I-Lang Research, Eastsoft Inc., Canada.
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