docs-navigation

Navigate hierarchical AI documentation indexes to locate and load relevant pages efficiently.

8|1|Updated Jul 11, 2025

Search Tags:#documentation #context #indexing #navigate #token-efficiency #drill-down #ai-docs

Ready to run

npx skills add https://github.com/Consiliency/treesitter-chunker --skill docs-navigation

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: docs-navigation
Source: https://github.com/Consiliency/treesitter-chunker/tree/main/.ai-dev-kit/skills/docs-navigation
Command: npx skills add https://github.com/Consiliency/treesitter-chunker --skill docs-navigation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Skill streamlines locating relevant AI documentation by navigating multi-level index structures and filtering results to minimize token usage.

Core Features & Use Cases

Hierarchical index navigation: start at root, drill down through libraries, sections, and pages to find exact docs.
Token-efficient loading: load only the specific pages needed rather than full-context content.
Context-aware search: use index keywords and priority hints to surface the most relevant pages for a given task.

Quick Start

Start at the root: @ai-docs/_root_index.toon
Drill into a library: @ai-docs/libraries/baml/_index.toon
Open a page: @ai-docs/libraries/baml/guide/pages/error-handling.toon

Frequently Asked Questions about docs-navigation

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

FAQPage Schema

How do I navigate hierarchical documentation indexes to find specific content?▼

Navigate hierarchical documentation indexes by starting at the root index, reading keywords at each level, then drilling down through libraries and sections to reach specific pages. This targeted approach loads only the content you need, minimizing context usage.

What's the best way to locate relevant AI documentation without loading full context?▼

Use multi-level index navigation to perform token-efficient retrieval. Start at the appropriate index level for your task, filter by keywords, and load only the specific pages required rather than entire sections or libraries.

Can I search AI documentation across multiple libraries and sections?▼

Yes. The hierarchical index structure supports drilling down from root through libraries, sections, and individual pages. Use index keywords and priority hints to surface the most relevant documentation across your entire docs structure.

How does index-based navigation reduce token usage compared to full-context search?▼

Index-based navigation filters at each level using keywords before loading content, loading only targeted pages instead of entire libraries. This precision retrieval minimizes unnecessary context and reduces token consumption significantly.

What's the starting point for navigating an ai-docs index system?▼

Start at the root index file to understand the overall structure, then identify the relevant library for your task. From there, drill into sections and specific pages using the index keywords as navigation guides.

Do I need to load entire documentation sections to find what I need?▼

No. Navigate the index hierarchy to identify exact pages before loading. Load only the specific pages relevant to your task, keeping your context window focused and efficient.