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duckdb-ies

Unify Claude history, GitHub activity, workspace files, and skill manifests for interactome analytics.

60|13|Updated Dec 22, 2025
Search Tags:#analytics#sql#parquet#duckdb#interactome#gf3
One-click install
npx skills add https://github.com/plurigrid/asi --skill duckdb-ies
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: duckdb-ies
Source: https://github.com/plurigrid/asi/tree/main/skills/duckdb-ies
Command: npx skills add https://github.com/plurigrid/asi --skill duckdb-ies

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides unified interactome analytics across Claude history, GitHub activity, workspace files, and skill manifests using GF(3) momentum tracking.

Core Features & Use Cases

  • GF(3) momentum tracking, topic clustering, and cross-source fingerprint correlation
  • Unified views for expert analyses (unified_interactions, gf3_flow_analysis, etc.)
  • Parquet export and CLI recipes for quick exploration

Quick Start

Run SQL queries against the DuckDB IES dataset to inspect interactome metrics and momentum indicators.

Frequently Asked Questions about duckdb-ies

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze interactome data across multiple sources like Claude history and GitHub activity?▼

Interactome analytics unifies data from Claude history, GitHub activity, workspace files, and skill manifests into a single analytical dataset. This Skill provides GF(3) momentum tracking and topic clustering across those sources, letting you correlate patterns and fingerprints without manual data consolidation.

Can I query interactome metrics and momentum indicators with SQL?▼

Yes. This Skill exposes unified SQL views and tables for analytics workflows, including unified_interactions and gf3_flow_analysis tables. You can run SQL queries directly against the DuckDB dataset to inspect momentum indicators and cross-source correlations.

What format does this Skill export analytics results to?▼

Parquet export is built in, letting you save processed interactome analytics as columnar files. This format integrates with downstream data pipelines and tools that consume analytics artifacts.

Do I need specialized knowledge to work with GF(3) momentum tracking?▼

No. The Skill handles GF(3) momentum detection and topic extraction automatically. CLI recipes and provided SQL views abstract away implementation details, so you can explore metrics immediately without deep mathematical background.

How does color-based fingerprinting help identify patterns across sources?▼

Color-based fingerprinting creates comparable signatures for content across Claude history, GitHub, and files. This enables cross-source correlation detection, letting you spot topic relationships and momentum shifts that span multiple interaction sources.

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