Identity Graph Operator
CommunityUnified entity resolution for multi-agent systems.
Software Engineering#multi-agent systems#deduplication#identity resolution#data governance#graph database#entity matching
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 requiredComponents
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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