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Index AI capabilities by parsing SKILL.md frontmatter and linking related subskills.

238|30|Updated Feb 2, 2026
Search Tags:#architecture#security#ai#llm#rag#agent#prompt-engineering
One-click install
npx skills add https://github.com/telagod/code-abyss --skill ai-telagod
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai
Source: https://github.com/telagod/code-abyss/tree/main/skills/domains/ai
Command: npx skills add https://github.com/telagod/code-abyss --skill ai-telagod

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Index AI/LLM capabilities to centralize and govern Agent development, LLM safety, and RAG workflows across projects.

Core Features & Use Cases

  • Central catalog of AI capabilities (Agent development, LLM safety, RAG systems) with cross-reference to related subskills.
  • Supports modular orchestration, safe prompt design, and retrieval-augmented generation pipelines for complex AI systems.
  • Use case: build a multi-agent orchestration pipeline with safety guards and a standard RAG workflow.

Quick Start

Provide a concise index of AI capabilities by parsing the SKILL.md frontmatter and linking related subskills.

Frequently Asked Questions about ai

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

FAQPage Schema
How do I centralize AI capabilities for modular agent development and LLM safety?▼

Modular agent systems use frontmatter-driven discovery to catalog AI capabilities, ensuring safe prompt design and retrieval-augmented generation workflows. It organizes multi-agent orchestration pipelines with safety guards.

Can I build a multi-agent orchestration pipeline with RAG workflows using this approach?▼

Multi-agent orchestration pipelines integrate RAG workflows and safety guards through modular design. The system catalogs these capabilities to support complex AI architectures and retrieval-augmented generation.

What is frontmatter-driven discovery for indexing LLM capabilities?▼

Frontmatter-driven discovery extracts AI capability metadata from SKILL.md files to build a central catalog. This mechanism indexes agent orchestration, safe prompt design, and RAG workflows for modular development.

Does this approach support securing prompts and organizing retrieval-augmented generation pipelines?▼

Securing prompts and organizing RAG pipelines is supported through modular safety frameworks. The system centralizes LLM safety and retrieval-augmented generation workflows to govern cross-project agent development.

What is the best way to organize modular AI systems across multiple projects?▼

Organizing modular AI systems requires frontmatter-driven discovery to centralize capabilities across projects. This approach governs agent development and RAG workflows while providing optional resource directories for on-demand tasks.

Do I need subskills to build a standard RAG workflow with safety guards?▼

Building a standard RAG workflow with safety guards requires linking related subskills from the central catalog. This cross-reference mechanism supports modular orchestration and safe prompt design across agent systems.

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