synapse-read

Extract atomic concepts and relationships from documents into Synapse-staging JSON per chapter.

2|Updated Apr 6, 2026

Search Tags:#staging #json #graph #document #concepts #extract #relations

Ready to run

npx skills add https://github.com/8lianno/synapse --skill synapse-read

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Dismantles unstructured documents by extracting atomic concepts and their relationships into Synapse-staging JSON to enable graph construction.

Core Features & Use Cases

Chapter-by-chapter extraction targets blueprint concepts to maximize depth.
Structured JSON outputs per chapter for easy graph building and validation.
Global vocabulary alignment preserves coherence with existing graph nodes.

Quick Start

Provide the path to a document to extract concepts and relations into synapse-staging JSON, processing each chapter separately.

Frequently Asked Questions about synapse-read

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

FAQPage Schema

How do I extract concepts and relationships from documents into JSON for graph building?▼

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.

What is the best way to prepare unstructured documents for a knowledge graph?▼

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.

How does chapter-by-chapter extraction improve graph construction from text?▼

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.

Can I align extracted document concepts with an existing graph vocabulary?▼

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.

What JSON schema format is used when extracting relations from documents?▼

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.

Do I need any specific dependencies to extract atomic concepts from text files?▼

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.