What is the purpose of 'Gay.jl' coloring?

It is a deterministic coloring system that applies consistent hexadecimal colors to specific fingerprints, making it easier to visually distinguish between different types of interactions in data views.

How does the skill access my data?

The skill reads local files like Claude history (jsonl), GitHub contribution data, and workspace file metadata, then indexes them into a local DuckDB instance.

Can I use the data in external tools like Polars or Excel?

Yes, the skill includes a parquet-export capability that saves your unified interactome and flow analysis into Parquet files, which are compatible with most modern data tools.

What is GF(3) momentum tracking?

GF(3) momentum tracking is a mathematical framework used by this skill to detect drift and balance in interaction streams by assigning trit values (-1, 0, +1) to specific activities.

IES Interactome Analytics

Name: IES Interactome Analytics
Author: plurigrid

byplurigrid

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分析与监控

Analyzes Claude interactions and GitHub activity using DuckDB and GF(3) momentum tracking to visualize workflow patterns.

关于

DuckDB-IES is a sophisticated analytics skill designed to provide deep insights into your development interactome. By unifying data from Claude history, GitHub repositories, and local workspace files into a centralized DuckDB database, it enables advanced pattern recognition and activity tracking. It implements specialized GF(3) momentum tracking to detect workflow drift, uses deterministic 'Gay.jl' coloring for fingerprinting interactions, and performs content-based topic clustering. This skill is ideal for developers and data scientists who need a granular, queryable record of their AI-assisted coding sessions and cross-platform contributions.

主要功能

Automated topic clustering via regex-based content extraction
Deterministic interaction fingerprinting with Gay.jl coloring
2 GitHub stars
Unified ingestion from Claude history, GitHub activity, and workspace metadata
High-performance Parquet export for external data science workflows
GF(3) momentum tracking for drift detection and velocity analysis

使用场景

Monitoring workflow balance and detecting activity drift using mathematical trit-based metrics
Correlating GitHub contributions with local file changes and AI session history
Auditing Claude interaction history to identify topical density and productivity patterns

关于

主要功能

Automated topic clustering via regex-based content extraction
Deterministic interaction fingerprinting with Gay.jl coloring
2 GitHub stars
Unified ingestion from Claude history, GitHub activity, and workspace metadata
High-performance Parquet export for external data science workflows
GF(3) momentum tracking for drift detection and velocity analysis

使用场景

Monitoring workflow balance and detecting activity drift using mathematical trit-based metrics
Correlating GitHub contributions with local file changes and AI session history
Auditing Claude interaction history to identify topical density and productivity patterns