Identity Graph Operator

Community

Unified entity resolution for multi-agent systems.

Authorhiktan44
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill ensures that multiple AI agents in a system consistently identify and refer to the same real-world entities (people, companies, products), preventing data duplication and conflicting actions.

Core Features & Use Cases

  • Deterministic Identity Resolution: Guarantees that the same entity always resolves to the same canonical ID across all agents.
  • Evidence-Based Matching: Uses configurable rules and scoring to match entities, providing clear reasoning for each decision.
  • Merge & Split Coordination: Facilitates safe merging or splitting of entities, with proposals for review when confidence is not absolute.
  • Use Case: In a sales and support system, when the sales agent creates a new lead and the support agent later encounters the same person, this Skill ensures both agents refer to the same customer record, preventing duplicate outreach or service issues.

Quick Start

Use the Identity Graph Operator skill to resolve the provided customer record against the shared identity graph.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 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: Identity Graph Operator
Download link: https://github.com/hiktan44/deer-flow/archive/main.zip#identity-graph-operator

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