enrich

Integrate new evidence into existing claims within a knowledge graph.

Updated Jul 3, 2026

Search Tags:#knowledge graph #research automation #evidence integration #claim refinement #claim provenance

Ready to run

npx skills add https://github.com/GiorgioRicciardiello/LabBrain --skill enrich-giorgioricciardiello

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: enrich
Source: https://github.com/GiorgioRicciardiello/LabBrain/tree/main/core/.claude/skills/enrich
Command: npx skills add https://github.com/GiorgioRicciardiello/LabBrain --skill enrich-giorgioricciardiello

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the integration of new evidence into existing claims, enhancing the quality and depth of a knowledge graph.

Core Features & Use Cases

Evidence Integration: Adds source material to target claims with proper citation and upgrades YAML provenance fields.
Claim Refinement: Improves the accuracy of claims by incorporating new evidence.
Use Case: Ideal for researchers looking to build a comprehensive and reliable knowledge base by enriching existing claims with relevant literature.

Quick Start

Run the /enrich command followed by the name of the claim you want to enrich, such as '/enrich my-claim'.

Frequently Asked Questions about enrich

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

FAQPage Schema

How do I automate evidence integration into existing claims within a knowledge graph?▼

Evidence integration is automated by adding source material citations to target claims and upgrading YAML provenance fields. This process enhances a knowledge graph by systematically linking new literature to existing claims.

How do I add source material citations to claims and upgrade provenance fields?▼

Add source material citations by running the enrich command followed by the target claim name. The process automatically upgrades YAML provenance fields and signals downstream actions for the updated knowledge graph.

Can I use this automation to refine claims using new literature from my archives?▼

Yes, claim refinement is achieved by incorporating new evidence from literature archives. The automation improves claim accuracy by integrating relevant source material into the existing knowledge base.

Do I need access to literature archives and note storage to enrich my knowledge graph?▼

Yes, enriching a knowledge graph requires access to literature archives and note storage. These repositories provide the source material and existing claims necessary for automated evidence integration and provenance upgrades.

What is the best way to signal downstream actions after integrating new evidence into claims?▼

Downstream action signaling is handled automatically during the evidence integration process. As new source material is added to claims, the system upgrades provenance fields and triggers the necessary downstream workflow signals.

Why does claim provenance tracking matter when building a research knowledge base?▼

Claim provenance tracking ensures the reliability and depth of a research knowledge base. By upgrading YAML provenance fields during evidence integration, you maintain accurate source citations and traceability for every claim.