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generate-identity-graph

Coordinate identity-graph workflows from interviews to validated workflow handoff.

7|Updated May 18, 2026
Search Tags:#workflow#validation#data-quality#data-integration#identity-graph#dataset-mapping#rosetta-stone
One-click install
npx skills add https://github.com/narrative-io/narrative-skills-marketplace --skill generate-identity-graph
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: generate-identity-graph
Source: https://github.com/narrative-io/narrative-skills-marketplace/tree/main/plugins/narrative-identity/skills/generate-identity-graph
Command: npx skills add https://github.com/narrative-io/narrative-skills-marketplace --skill generate-identity-graph

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Facilitates the end-to-end design and deployment of Narrative identity-graph workflows by guiding interviews to define graph type and primary identifier, discovering and validating input datasets, and coordinating the mapping, auditing, and workflow handoff steps before submission.

Core Features & Use Cases

  • Interactive graph framing: determine graph type (person, household, device, B2B) and the primary identifier to stitch around.
  • End-to-end workflow orchestration: discover first-party datasets, draft Rosetta Stone mappings for unmapped data, optionally incorporate third-party sources, and validate edges-view NQL before handoff.
  • Safe, auditable handoff: defer mapping application to the workflow engine and render a validated workflow for review.

Quick Start

Initiate the identity-graph interview, select the graph shape, gather input datasets, draft mappings, and hand off to the workflow composer.

Frequently Asked Questions about generate-identity-graph

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

FAQPage Schema
How do I build an identity graph across multiple datasets?▼

To build an identity graph, initiate an interactive interview to define the graph type and primary identifier, discover first-party datasets, draft Rosetta Stone mappings, and validate edges before production handoff.

What is an identity graph and when do I need one for data integration?▼

An identity graph stitches datasets together around a primary identifier like a person, household, device, or B2B entity. You need one when integrating fragmented first-party data to create a unified, auditable view.

How do I map unmapped datasets when creating an identity graph workflow?▼

You map unmapped datasets by drafting Rosetta Stone mappings during the orchestration phase. The workflow defers mapping application to the workflow engine and validates the edges-view NQL before final handoff.

Can I use third-party data sources to augment my identity graph?▼

Yes, you can optionally incorporate third-party sources to augment your first-party datasets. The interactive process validates these combined inputs and runs a pre-graph audit before gating the handoff to production.

What data do I need to start designing an identity graph workflow?▼

You need a defined graph-edge attribute and a set of first-party datasets. Selecting your graph shape, such as person or B2B, and gathering these inputs are the required prerequisites before mapping begins.

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