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Split huge docs into a navigable knowledge tree

Software Engineering#documentation#markdown#indexing#knowledge management#agent workflows#context reduction
Authorescotilha
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Large documentation quickly becomes unusable for agents because it overwhelms context limits and forces everyone to read the same bulky material.

Core Features & Use Cases

  • Hierarchical knowledge splitting: Turns a big source (file, URL, or topic) into an index plus topic-focused sub-files.
  • Navigable index first: Produces an _index.md that agents read to decide exactly which sections to open.
  • Context-bloat reduction: Keeps sub-files sized for agent consumption (aiming for 50–200 lines each) so workflows stay efficient.
  • Cross-references and back-links: Links related sections to reduce backtracking and improve task continuity.

Quick Start

Ask the AI to split the Stripe webhooks documentation into a structured index and linked sections so you can read only the parts you need.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: skill-tree
Download link: https://github.com/escotilha/claude-public/archive/main.zip#skill-tree

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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