isda
CommunityMeasure text compressibility with five strata.
Data & Analytics#metrics#compression#content-optimization#analyze#semantic-density#text-density#strata-analysis
Authorvincitamore
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Irreducible Semantic Density Analysis (ISDA) provides a principled way to assess how much of a text is genuinely necessary to convey its core contribution, by decomposing content into five strata and quantifying compressibility.
Core Features & Use Cases
- Decompose text into five strata: Structural Skeleton, Retrievable Knowledge, Derived Inferences, Curatorial Decisions, and Generative Novelty, to reveal where meaning resides.
- Produce quantitative metrics (e.g., Raw Length, SCR, ND, RI, CBAT) and a detailed stratum ledger to guide editing, rewriting, and quality assurance.
- Use cases include evaluating editorial efficiency, measuring originality, and guiding condensation or expansion of long-form content.
Quick Start
Provide a sample text to analyze with a five-strata breakdown and a full metric report.
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: isda Download link: https://github.com/vincitamore/misc/archive/main.zip#isda Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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