gist_correlation_matrix
CommunityTurn embedding similarity into a navigable artifact.
Data & Analytics#embeddings#correlation matrix#decorrelation sort#graph-integrated search#similarity visualization#interactive heatmap#information artifact
Authorthistleknot
Version1.0.0
Installs0
System Documentation
What problem does it solve?
It turns an embedding space into a complete, human-explorable relational map so you can understand structure without being limited to top-K retrieval rankings.
Core Features & Use Cases
- Correlation Matrix as the Artifact: Converts an (N, D) embedding set into an (N, N) correlation matrix that encodes every pairwise relationship.
- Decorrelated Sorting for Legibility: Applies greedy decorrelation to produce a sorted matrix that reveals clusters, boundaries, and hierarchy patterns in a near-diagonal structure.
- Interactive Similarity Landscape: Supports hover/drill-down style exploration where each cell can surface relationship strength and supporting metadata.
Quick Start
Use the gist_correlation_matrix skill to compute the sorted correlation matrix from your (N, D) embeddings and render an interactive heatmap for exploring all pairwise relationships.
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: gist_correlation_matrix Download link: https://github.com/thistleknot/skills/archive/main.zip#gist-correlation-matrix Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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