knowledge-graph-research

Community

Turn docs into knowledge graphs for credit insights.

Authormaschad
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Convert unstructured credit-market documents into structured knowledge graphs to surface conceptual relationships, thematic clusters, and discourse gaps for faster due diligence and smarter investment decisions.

Core Features & Use Cases

  • Knowledge-graph construction: Transform document collections into graphs where concepts are nodes and co-occurrences define edges.
  • Discourse gap detection: Identify missing connections and bridge concepts to reveal blind spots.
  • Concept clustering: Group related ideas into coherent themes and track their evolution across time.
  • Graph-RAG insights: Use graph topology to ground AI responses and synthesize cross-document intelligence.
  • Visualization & export: Produce DOT graphs and entity/concept views for presentations and reporting.
  • Use cases: Credit covenants analysis, market research, deal diligence, and investment-thesis development.

Quick Start

Analyze the attached credit documents and generate a knowledge graph with key themes, clusters, and gaps.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: knowledge-graph-research
Download link: https://github.com/maschad/my-claude/archive/main.zip#knowledge-graph-research

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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