Tag: knowledge-extraction
Extracts research findings for implementation planning
This skill reads materialized research sources (e.g., PDFs, notebooks) and extracts structured data detailing the proposed method, its limitations, and implementation requirements. It synthesizes this information into a structured JSON log …
Structured Research Source Analysis and Extraction
This skill reads materialized research sources—including papers, notebooks, or conceptual ideas—and extracts structured, actionable intelligence. It compiles findings into a standardized JSON format detailing methods, limitations, and imple…
Automated Knowledge Mining from Code Sessions
The miner daemon runs in the background, automatically extracting knowledge from newly completed Claude Code sessions. It polls every 60 seconds to process settled transcripts, ensuring continuous knowledge capture without manual interventi…
Persistent memory for Claude Code
Provides Claude Code with persistent memory across sessions by extracting durable lessons, decisions, and bug fixes into markdown files. It enables the retrieval of relevant context at the start of each new session.
Automated Claude Code Session Knowledge Extraction
A background daemon that automatically extracts knowledge from completed Claude Code sessions. It polls for new session transcripts and processes them after they have concluded.
Mining Claude Code Session History
Extracts knowledge from all historical Claude Code sessions, including those predating installation. It also initiates a background daemon to automatically mine new sessions as they occur.
Build AI skills from diverse knowledge sources
This tool facilitates the conversion of diverse knowledge sources—including documentation, GitHub repositories, PDFs, and videos—into structured, AI-ready skills. It provides a comprehensive workflow for scraping, enhancing, packaging, and …