Extract atomic concepts and relationships from documents into Synapse-staging JSON per chapter.
npx skills add https://github.com/8lianno/synapse --skill synapse-read
Please help me install this Agent Skill. Skill: synapse-read Source: https://github.com/8lianno/synapse/tree/main/.claude/skills/synapse-read Command: npx skills add https://github.com/8lianno/synapse --skill synapse-read
Dismantles unstructured documents by extracting atomic concepts and their relationships into Synapse-staging JSON to enable graph construction.
Provide the path to a document to extract concepts and relations into synapse-staging JSON, processing each chapter separately.
High-intent search queries and answers about installing and using this skill.
To extract concepts and relationships from documents into JSON, you provide a document path and the Skill processes it chapter-by-chapter, outputting structured Synapse-staging JSON formatted for downstream graph construction.
The best way to prepare unstructured documents for a knowledge graph is to dismantle them by extracting atomic concepts and their relationships into Synapse-staging JSON, maximizing depth and coherence through chapter-by-chapter processing.
Chapter-by-chapter extraction improves graph construction by targeting blueprint concepts individually, which maximizes extraction depth and ensures the resulting Synapse-staging JSON maintains coherence with downstream graph building processes.
Yes, you can align extracted concepts with an existing graph vocabulary because the extraction process preserves Global Vocabulary alignment, maintaining coherence with existing graph nodes when generating the Synapse-staging JSON output.
The extraction uses a per-chapter Synapse-staging JSON schema, ensuring that atomic concepts and relationships extracted from documents follow a structured format optimized for validation and downstream graph building.
No specific dependencies are required to extract atomic concepts from text files, as the Skill operates independently to process your document path and generate the structured Synapse-staging JSON outputs for each chapter.
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