semantic-compression
CommunityPreserve meaning, trim the fluff.
Content & Communication#token-efficiency#prompt-optimization#semantic-compression#text-simplification#LLM-preprocessing#content-summarization
Authorcan1357
Version1.0.0
Installs0
System Documentation
What problem does it solve?
LLMs reconstruct grammar from content words. Remove predictable glue; keep semantic payload. Prefer fragments over sentences.
Core Features & Use Cases
- Aggressive grammar reduction: removes articles, copulas, filler phrases, and redundant prepositional phrases while keeping core meaning.
- Semantic preservation: maintains nouns, main verbs, critical adjectives and numbers; preserves causality and conditionals.
- Use Case: compress lengthy notes or documentation to context-friendly fragments for prompts, summaries, or token-efficient inputs.
Quick Start
Use the semantic-compression skill to transform verbose text into concise, meaning-preserving fragments suitable for prompt input.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: semantic-compression Download link: https://github.com/can1357/oh-my-pi/archive/main.zip#semantic-compression Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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