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swarm-ai-safety
swarm-ai-safetyOFFICIAL
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GitHub

learn

Research AI safety topics and integrate findings into the SWARM knowledge vault.

4|Updated Feb 16, 2026
Search Tags:#research#knowledge graph#discovery#synthesis#claims#ai safety
One-click install
npx skills add https://github.com/swarm-ai-safety/swarm-artifacts --skill learn-swarm-ai-safety
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: learn
Source: https://github.com/swarm-ai-safety/swarm-artifacts/tree/main/.claude/skills/learn
Command: npx skills add https://github.com/swarm-ai-safety/swarm-artifacts --skill learn-swarm-ai-safety

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the need to continuously research and integrate new knowledge into the SWARM AI safety framework, ensuring the knowledge graph remains current and comprehensive.

Core Features & Use Cases

  • Topic Research: Investigates specified topics relevant to AI safety using various tools.
  • Claim Synthesis: Generates potential new claims based on research findings.
  • Knowledge Integration: Follows a pipeline to process research into actionable claims and link them to the existing vault.
  • Use Case: A researcher can ask the skill to "research adversarial robustness in cooperative systems" and it will find relevant papers, synthesize the findings, and propose new claims to be added to the SWARM knowledge base.

Quick Start

Ask the learn skill to research the topic of multi-agent mechanism design.

Frequently Asked Questions about learn

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

FAQPage Schema
How do I research AI safety topics and add the findings to a knowledge graph?▼

To research AI safety topics and add findings to a knowledge graph, this skill formulates queries, uses external research tools, and processes findings into claim candidates for integration into a knowledge vault.

What is the process for synthesizing research claims from new papers?▼

Synthesizing research claims involves generating potential new claims by running research findings through an extraction pipeline, creating inbox items for the findings, and linking validated claims to the existing knowledge base.

How do I expand an existing AI safety knowledge base with new validated research?▼

You expand an AI safety knowledge base by investigating specified topics, synthesizing the discovered findings into actionable claims, and integrating those claims into the vault to keep the knowledge graph current.

Can I use this to research multi-agent mechanism design and propose new claims?▼

Yes, you can research multi-agent mechanism design by asking the skill to investigate the topic, which will find relevant papers, synthesize the findings, and propose new claims for the knowledge base.

What are the limitations of using an automated pipeline for knowledge discovery and claim synthesis?▼

The extraction pipeline processes research into claim candidates, but the knowledge integration depends on the scope of external research tools and requires validation before claims are fully integrated into the knowledge graph.

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