dalu-dongguan
CommunityDetect hidden links and build a lightweight knowledge graph from text.
Data & Analytics#knowledge graph#causal inference#semantic similarity#entity extraction#temporal analysis#hallucination risk#link detection
AuthorisLinXu
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill finds semantic, co-occurrence, temporal, source-consistency, and causal relationships across multiple text segments so you can surface evidence-backed insights instead of guessing.
Core Features & Use Cases
- Multi-type link detection: extracts entities and builds a relation graph covering semantic similarity, entity co-occurrence, temporal markers, source consistency, and causal markers.
- Evidence-oriented outputs: produces link reports, anomaly signals, and a hallucination-risk score to help agents verify and ask better follow-ups.
- Visualization-ready: generates Mermaid code for quickly viewing the resulting knowledge graph and link structure.
Quick Start
Ask the agent to run the link detector on your segments list (segments.json) to produce link_report.json with links, entity_map, and mermaid_code.
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 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: dalu-dongguan Download link: https://github.com/isLinXu/under-one/archive/main.zip#dalu-dongguan Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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