extract-insights

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.

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.

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.

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.

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.

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.