agency-identity-graph-operator

Resolve duplicate records into canonical identities in a shared identity graph.

Updated Feb 11, 2026
One-click install
npx skills add https://github.com/augustoheiss/LogicDefense --skill agency-identity-graph-operator-augustoheiss
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agency-identity-graph-operator
Source: https://github.com/augustoheiss/LogicDefense/tree/main/.gemini/skills/agency-identity-graph-operator
Command: npx skills add https://github.com/augustoheiss/LogicDefense --skill agency-identity-graph-operator-augustoheiss

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Operates a shared identity graph that ensures every agent in a multi-agent system resolves to the same canonical identity for a given real-world entity, deterministically, even under concurrent writes.

Core Features & Use Cases

  • Resolve records to canonical entities using blocking, scoring, and clustering
  • Coordinate multi-agent identity decisions with audit trails and conflict handling
  • Maintain graph integrity with optimistic locking, previews, and rollback capabilities
  • Provide per-field evidence and explanations for resolutions

Quick Start

Provide a new set of records involving potential duplicates and ask the operator to canonicalize them across the graph.

Frequently Asked Questions about agency-identity-graph-operator

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

FAQPage Schema
How do I resolve duplicate records into a single canonical identity across concurrent agents?

Canonical identity resolution merges duplicate records into a unified entity using blocking, scoring, and clustering, ensuring deterministic coordination across concurrent multi-agent operations via a shared identity graph.

What is deterministic identity resolution in a multi-agent system?

Deterministic identity resolution ensures every agent consistently resolves to the same canonical entity for a real-world record, preventing conflicts during concurrent writes through a shared identity graph.

How do I maintain an audit trail for entity resolution decisions?

Maintaining an audit trail for entity resolution involves tracking graph changes with versioned history and per-field evidence, providing explanations for each canonical resolution decision.

Can I prevent conflicts during concurrent identity graph updates?

Preventing conflicts during concurrent identity graph updates relies on optimistic locking, ensuring deterministic coordination and maintaining graph integrity when multiple agents write simultaneously.

What is the best way to handle cross-agent coordination for entity resolution?

Cross-agent coordination for entity resolution is handled through a shared identity graph that standardizes canonical IDs, utilizing clustering and conflict handling to synchronize concurrent multi-agent decisions.

Does identity resolution support rollback for incorrect canonical mappings?

Identity resolution supports rollback for incorrect canonical mappings through graph integrity features like optimistic locking, previews, and versioned history, allowing safe reversion of erroneous resolutions.