Semantic Compression
Rewrites verbose prose into dense telegraphic text while keeping its precision.
Install
npx skills add can1357/oh-my-pi --skill semantic-compression -g -a claude-code -y- Repository
- can1357/oh-my-pi37.4k
- Category
- Writing
- Updated
- 3d ago
- License
- MIT
- Context cost
- Mediumabout 3,000 tokens
- Runs scripts
- No, instructions only
What it does
Re-encode verbose prose into a dense telegraphic register, punctuation as connectives, label frames, verbless assertions, without losing normativity or precision. Use when compressing system prompts, tool/function descriptions, skill bodies, or agent instructions; reducing token count or context bloat; making documentation token-efficient for LLM input; or rewriting text in compressed notation.
Semantic Compression
Compression is re-encoding, not word deletion. Filtering function words out of an English sentence leaves a damaged English sentence (System design: efficient process incoming data, multiple sources). Instead re-frame each claim in a register whose grammar is punctuation and layout, then the function words have no work left and drop out on their own.
Target texts are load-bearing: tool descriptions, system prompts, skills. A model executes them cold, with no author present to disambiguate. Compression that forces a guess is a bug, not a saving.
