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nanograph-industry-intel

Bootstrap a SPIKE industry intelligence graph with an AI ontology template or custom schema.

1|Updated Mar 15, 2026
Search Tags:#ontology#schema#knowledge-graph#spike#domain-design#industry-intel#nanograph
One-click install
npx skills add https://github.com/nanograph/nanograph-skills --skill nanograph-industry-intel
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: nanograph-industry-intel
Source: https://github.com/nanograph/nanograph-skills/tree/main/skills/nanograph-industry-intel
Command: npx skills add https://github.com/nanograph/nanograph-skills --skill nanograph-industry-intel

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Stand up a SPIKE knowledge-graph schema for industry intelligence domains, enabling teams to quickly model ontology, domain enums, and schema scaffolding without building from scratch.

Core Features & Use Cases

  • Ontology-first SPIKE bootstrap: reuse pre-built AI industry intel schema as pattern for other domains or customize domain ontologies with 2–3 example source types and enum design.
  • Path options: AI path with pre-built template; Custom path to design domain-specific ontology, adapt schema.pg, initialize database.
  • Clear delineation of responsibilities: data loading and ingestion handled by nanograph-ops skill; schema setup is in this skill.

Quick Start

Copy the spike-intel template, adapt schema.pg to your domain, then run nanograph lint and init to prepare an empty database for future data.

Frequently Asked Questions about nanograph-industry-intel

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

FAQPage Schema
How do I bootstrap a knowledge-graph schema for industry intelligence?▼

You can bootstrap a SPIKE industry intelligence graph by selecting the AI path for a pre-built template or the Custom path to design a domain-specific ontology, adapting enums and properties before initializing the database.

What is an ontology-first approach for designing a knowledge graph?▼

An ontology-first knowledge graph design models domain enums, source types, and schema scaffolding upfront to ensure structured data relationships before populating the database.

Can I use this skill to load and ingest data into the graph?▼

No, this skill strictly handles ontology design and schema setup. Data loading and ingestion into the graph database are handled separately by the nanograph-ops skill.

How do I customize domain enums and properties for a specific industry?▼

To customize domain enums and properties for a specific industry, use the Custom path to adapt the schema.pg file, modifying domain-specific rules and source types before running database initialization.

Does the AI path provide a ready-to-use industry intelligence ontology?▼

Yes, the AI path provides a pre-built industry intelligence ontology template that serves as a ready-to-use schema pattern, which teams can reuse directly or adapt for other domains.

What are the limitations of bootstrapping a SPIKE graph schema?▼

The primary limitation is that it enforces ontology-focused setup only and provisions an empty database, leaving data loading and ingestion to a separate skill rather than handling end-to-end population.

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