Extract atomic knowledge notes with provenance from source material.
npx skills add https://github.com/wtyler2505/ProtoPulse --skill extract-wtyler2505
Please help me install this Agent Skill. Skill: extract Source: https://github.com/wtyler2505/ProtoPulse/tree/main/.agents/skills/extract Command: npx skills add https://github.com/wtyler2505/ProtoPulse --skill extract-wtyler2505
This Skill extracts structured knowledge from raw source material, turning scattered insights into searchable, atomic notes that can be linked and analyzed.
Provide a target source file and run the extract command to start knowledge extraction.
High-intent search queries and answers about installing and using this skill.
To extract structured knowledge, this Skill identifies domain-relevant claims, methods, and tensions from your sources, then formats them into atomic notes for linking and analysis. It transforms scattered insights into searchable candidates with clear provenance.
The best way to create atomic notes for a knowledge vault is using an automated extraction process that maps source insights to existing concepts. This ensures outputs support downstream retrieval and cross-linking within your knowledge graph.
You can connect extracted domain knowledge to an existing knowledge graph by mapping new atomic notes to existing vault concepts. The Skill produces structured candidates with cross-linking potential to ensure seamless integration and enrichment.
Yes, you can automate knowledge extraction by triggering the workflow with commands like /extract or extract insights on a target source file. It processes the material comprehensively to identify claims, methods, and enrichment opportunities.
Yes, extracted knowledge supports vector-search and downstream retrieval by returning structured candidates with clear provenance. This format ensures the atomic notes are optimized for composition and searchability within your domain vault.
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