Extract Decisions, Tasks, People, Insights, Quotes, and Connections from transcripts, emails, and PDFs.
npx skills add https://github.com/alivecontext/alive --skill alive-mine
Please help me install this Agent Skill. Skill: alive-mine Source: https://github.com/alivecontext/alive/tree/main/hermes/hermes-skills/alive-mine Command: npx skills add https://github.com/alivecontext/alive --skill alive-mine
Deep context extraction from source material, turning transcripts, documents, sessions, and other texts into structured context bundles that accelerate decision making and knowledge retention.
Provide a source-by-source extraction to pull Decisions, Tasks, People, Insights, Quotes, and Connections from transcripts, emails, and documents.
High-intent search queries and answers about installing and using this skill.
Context mining from transcripts extracts structured categories like Decisions, Tasks, People, and Insights automatically. It parses meeting transcripts and documents to identify actionable items, link participants, and surface domain insights for next steps.
Context mining for documents and emails is the process of pulling structured data such as Quotes, Connections, and Insights from diverse text sources. It transforms unstructured text into structured context bundles that accelerate decision making and knowledge retention.
Yes, deterministic extraction for PDFs and emails is supported. The mining workflow implements deterministic extraction targets and provenance tracking, ensuring context extracted from documents and emails remains auditable and repeatable across projects.
Batch-mining supports state updates for large sets of source material by processing multiple sources sequentially while maintaining provenance tracking. This enables auditable results across transcripts, emails, and PDFs without losing extraction provenance.
The best way to track provenance when extracting insights from text sources is using a mining workflow with deterministic extraction targets. This approach builds reference bundles and extraction plans that maintain traceable, auditable links back to original documents.
Basic text search lacks the ability to build reference bundles and extract structured categories like Connections and Quotes from transcripts. Dedicated context mining provides deterministic extraction targets and batch-mining state updates, ensuring auditable, structured results.
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