alive-mine

Extract Decisions, Tasks, People, Insights, Quotes, and Connections from transcripts, emails, and PDFs.

124|7|Updated Feb 19, 2026

Search Tags:#documents #context #routing #insights #extraction #transcripts #mining

Ready to run

npx skills add https://github.com/alivecontext/alive --skill alive-mine

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Deep context extraction from source material, turning transcripts, documents, sessions, and other texts into structured context bundles that accelerate decision making and knowledge retention.

Core Features & Use Cases

Extracts structured categories such as Decisions, Tasks, People, Insights, Quotes, and Connections from diverse sources (transcripts, emails, PDFs, documents).
Builds reference bundles and extraction plans, supporting traceable, auditable mining workflows across projects.
Use Case: When reviewing a meeting and a set of transcripts, ALIVE-MINE automatically surfaces decisions and tasks, links people, and surfaces domain insights for the next steps.

Quick Start

Provide a source-by-source extraction to pull Decisions, Tasks, People, Insights, Quotes, and Connections from transcripts, emails, and documents.

Frequently Asked Questions about alive-mine

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

FAQPage Schema

How do I extract decisions and tasks from meeting transcripts?▼

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.

What is context mining for documents and emails?▼

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.

Can I use deterministic extraction for PDFs and emails?▼

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.

Does batch-mining support state updates for large sets of source material?▼

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.

What's the best way to track provenance when extracting insights from text sources?▼

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.

Why should I not use basic text search for extracting context from transcripts?▼

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.