extract-insights

Extract structured insights from curated reference collections into actionable frameworks.

5|Updated Dec 25, 2025

Search Tags:#insights #synthesis #cluster #pattern-detection #Are.na #reference-collection

Ready to run

npx skills add https://github.com/rohunvora/my-claude-skills --skill extract-insights

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: extract-insights
Source: https://github.com/rohunvora/my-claude-skills/tree/main/.claude/skills/extract-insights
Command: npx skills add https://github.com/rohunvora/my-claude-skills --skill extract-insights

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill extracts actionable insights from curated reference collections, clustering themes, and synthesizing patterns into usable frameworks.

Core Features & Use Cases

Audit & Deep-Read: Assess collection contents and fetch high-value sources.
Clustering: Group insights by themes and assess potential skill opportunities.
Synthesis: Create actionable outputs (themes, potential skills, recommended actions).

Quick Start

Run the extraction pipeline on a collection (e.g., Are.na channel) to produce an insights report.

Frequently Asked Questions about extract-insights

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

FAQPage Schema

How do I extract insights and patterns from my curated reference collections?▼

Extract insights by running the skill's phase-based workflow (Audit, Deep-Read, Cluster, Synthesize) on your collection—Are.na channels, bookmarks, or saved articles—to cluster themes, identify patterns, and produce structured outputs with sources, key insights, and actionable frameworks suitable for knowledge systems.

What does clustering themes in a reference collection actually do?▼

Clustering groups related insights by theme, helping you detect patterns across scattered sources and assess skill or research opportunities. The process transforms unstructured references into organized, actionable knowledge structures.

Can I use this to process Are.na channels and other bookmark collections?▼

Yes. The skill works with Are.na channels, browser bookmarks, saved articles, and other curated reference sets. It audits collection contents, fetches high-value sources, and synthesizes outputs in a structured schema compatible with downstream RAG pipelines.

What output format does the skill produce for my extracted insights?▼

The skill outputs structured data with SOURCE, TYPE, KEY INSIGHT, ACTIONABLE, and FRAMEWORKS fields—a schema designed for knowledge management systems, RAG pipelines, and further downstream analysis.

How does the audit phase help before deep-reading my sources?▼

The audit phase assesses collection contents to identify high-value sources worth deep-reading, reducing noise and focusing your analysis on the most relevant references before extracting detailed insights.

What's the best way to turn scattered bookmarks into actionable research frameworks?▼

Synthesis—the final phase—transforms clustered insights into actionable outputs including themes, recommended research actions, and reusable frameworks extracted from patterns across your reference collection.