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aj-kg-query

Query the Neo4j knowledge graph for AJ platform structural facts.

Updated May 11, 2026
Search Tags:#knowledge graph#neo4j#api endpoints#aj platform#feature traceability#plugin query
One-click install
npx skills add https://github.com/rafalwizen/plugin-architecture-test --skill aj-kg-query-rafalwizen
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: aj-kg-query
Source: https://github.com/rafalwizen/plugin-architecture-test/tree/main/.claude/skills/aj-kg-query
Command: npx skills add https://github.com/rafalwizen/plugin-architecture-test --skill aj-kg-query-rafalwizen

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill eliminates the need to manually search through the AJ platform codebase to answer structural questions about modules, endpoints, plugins, and features, saving hours of repetitive grepping and source reading.

Core Features & Use Cases

  • Structural platform queries: Retrieve accurate facts about host modules, entities, REST endpoints, plugin manifests, extension points, and storage strategies directly from the knowledge graph.
  • Feature traceability: Trace user-facing capabilities from frontend pages to backend actions, endpoints, and data repositories.
  • Schema introspection: Explore the AJ platform's ontology, entity relationships, and property definitions for development and debugging. Use case: If you need to list all endpoints in the product module or see which plugins extend the product detail page, this skill returns structured, up-to-date results instantly.

Quick Start

Use this skill to ask any question about AJ platform structure, plugins, endpoints, or feature wiring to get a structured answer from the Neo4j knowledge graph.

Frequently Asked Questions about aj-kg-query

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

FAQPage Schema
How do I query the AJ platform knowledge graph for REST endpoints and plugin manifests?▼

Query the AJ platform knowledge graph by asking structural questions about REST endpoints, plugin manifests, or host modules. The skill queries a Neo4j graph via the neo4j-aj-kb MCP server to return structured results instantly without manual codebase inspection.

What is feature traceability in a microkernel platform and how does it work?▼

Feature traceability in a microkernel platform traces user-facing capabilities from frontend pages through to backend actions, REST endpoints, and data repositories. This skill maps those connections using a Neo4j knowledge graph seeded with AJ platform instance data.

Can I list all API endpoints in a specific host module without searching the codebase?▼

You can list all API endpoints in a specific host module without searching the codebase by querying the Neo4j knowledge graph. The skill retrieves accurate facts about host modules, entities, and REST endpoints directly from the seeded AJ platform ontology.

Which plugins extend a specific page in the AJ platform?▼

To find which plugins extend a specific page in the AJ platform, query the knowledge graph for extension points and plugin manifests. The skill returns structured, up-to-date results showing exactly which plugins extend the target page.

Do I need Neo4j to introspect the AJ platform ontology and entity relationships?▼

Yes, you need Neo4j to introspect the AJ platform ontology and entity relationships. The skill queries a Neo4j knowledge graph via the neo4j-aj-kb MCP server to explore property definitions, storage strategies, and host bridge operations.

What's the best way to find storage strategies and host bridge operations in a microkernel architecture?▼

The best way to find storage strategies and host bridge operations in a microkernel architecture is querying a knowledge graph. This skill retrieves those structural facts from the Neo4j-seeded AJ platform data, eliminating repetitive grepping and source reading.

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