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swarm-ai-research
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kb-query

Query a structured SWARM knowledge graph for related pages, backlinks, and paths.

39|4|Updated Feb 3, 2026
Search Tags:#structured data#knowledge graph#AI research#querying#SWARM
One-click install
npx skills add https://github.com/swarm-ai-research/swarm --skill kb-query-swarm-ai-research
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: kb-query
Source: https://github.com/swarm-ai-research/swarm/tree/main/.skills/kb-query
Command: npx skills add https://github.com/swarm-ai-research/swarm --skill kb-query-swarm-ai-research

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps users navigate the complex SWARM knowledge graph, providing connected answers and insights without the need for manual search and cross-referencing.

Core Features & Use Cases

  • Structural Querying: Find pages, list backlinks, follow link paths, and surface related/semantic neighbors across various elements.
  • Interactive Discovery: Use simple queries to explore the knowledge graph and uncover hidden relationships.
  • Use Case: When you need to understand how different concepts, commands, or agents are related within the SWARM framework.

Quick Start

Query the SWARM knowledge graph: kb-query find soft labels

Frequently Asked Questions about kb-query

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

FAQPage Schema
How do I query a knowledge graph to find related AI research pages?▼

To query a knowledge graph for related AI research pages, you can use structural querying commands to find pages, list backlinks, follow link paths, and surface semantic neighbors across the documentation without manual cross-referencing.

What is the best way to navigate the SWARM framework's structured documentation?▼

The best way to navigate the SWARM framework's structured documentation is using an interactive discovery interface to traverse the knowledge graph, uncovering hidden relationships between different concepts, commands, and agents.

Do I need Python to query the SWARM knowledge graph?▼

Yes, you need Python installed for script execution to query the SWARM knowledge graph, and you also need working knowledge of the SWARM framework's structure to effectively find connected insights.

Can I find backlinks and semantic neighbors in structured data without manual search?▼

You can find backlinks and semantic neighbors in structured data without manual search by executing interactive queries that automatically surface related elements and follow link paths across the knowledge graph.

What are the limitations of using structural querying for AI research documentation?▼

Limitations of structural querying include its dependency on Python for script execution and the requirement for prior knowledge of the SWARM framework's structure to accurately interpret connected insights and relationships.

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