nested-deep-skill

Locate SKILL.md files in nested directories and extract metadata for indexing.

146|20|Updated Oct 26, 2025
One-click install
npx skills add https://github.com/maxvaega/skillkit --skill nested-deep-skill
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: nested-deep-skill
Source: https://github.com/maxvaega/skillkit/tree/main/examples/skills/nested-example/category-a/subcategory-1
Command: npx skills add https://github.com/maxvaega/skillkit --skill nested-deep-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill demonstrates deep nesting in the skillkit for highly organized catalogs.

Core Features & Use Cases

  • Deep Nesting: Supports multiple nested levels for complex skill catalogs.
  • Discovery Consistency: Ensures skills remain discoverable at depth.

Quick Start

List the skills under category-a/subcategory-1 to verify deep nesting.

Frequently Asked Questions about nested-deep-skill

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

FAQPage Schema
How do I index nested skills across multiple directory levels?

This Skill automates discovery and indexing of nested skills by locating SKILL.md files within multi-level directory trees. It parses YAML front matter to extract metadata, detects location and depth, and generates structured search indexes for RAG pipelines, supporting up to five nesting levels.

Can I use this to organize a deeply nested skill repository?

Yes. This Skill is designed for hierarchical skill repositories with complex organization. It automatically detects SKILL.md files at any depth, extracts name and description metadata, and maintains discoverability across nested categories and subcategories.

What does the Skill extract from SKILL.md files?

The Skill parses YAML front matter in SKILL.md files to extract skill name, description, location metadata, and depth information. It then emits this as structured metadata for indexing and search integration.

How many nesting levels does this support?

This Skill supports hierarchical skill repositories with up to five levels of nesting, enabling automated detection and indexing of skills organized in deeply nested directory structures.

Does deep nesting affect skill discoverability?

No. This Skill ensures skills remain discoverable at depth by automatically indexing nested SKILL.md files and generating structured metadata that integrates with search and RAG systems regardless of directory hierarchy complexity.