skills.rest
zkysar1
zkysar1COMMUNITY
Explore all skills by this author →
𝕏@ZacharyKysarGitHub

tree-growth

Manage dynamic knowledge tree nodes with SPLIT, DECOMPOSE, REDISTRIBUTE, SPROUT, MERGE, and PRUNE operations.

Updated Aug 23, 2026
Search Tags:#knowledge management#information retrieval#data organization#node management#tree structure#semantic clustering
One-click install
npx skills add https://github.com/zkysar1/Claude-Skills-Continual-Learning-Base --skill tree-growth
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: tree-growth
Source: https://github.com/zkysar1/Claude-Skills-Continual-Learning-Base/tree/main/.claude/skills/tree-growth
Command: npx skills add https://github.com/zkysar1/Claude-Skills-Continual-Learning-Base --skill tree-growth

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the maintenance and structural integrity of a dynamic knowledge tree, ensuring efficient organization and retrieval of information.

Core Features & Use Cases

  • Node Management: Performs operations like splitting overloaded nodes, decomposing monolithic content, redistributing content into children, sprouting new nodes for unmapped information, merging sparse nodes, and pruning empty dead-end nodes.
  • Recursive Structure: Supports deep, recursive knowledge trees up to a defined maximum depth.
  • Use Case: When the knowledge base grows too large or becomes disorganized, this skill automatically restructures it by breaking down large topics, creating new branches for emerging concepts, and cleaning up obsolete information, keeping the knowledge base navigable and up-to-date.

Quick Start

Run the tree-growth skill to maintain the memory tree structure.

Frequently Asked Questions about tree-growth

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

FAQPage Schema
How do I automate knowledge tree restructuring when nodes become disorganized?▼

Automate knowledge tree restructuring by applying SPLIT, DECOMPOSE, and REDISTRIBUTE operations to break down overloaded nodes and maintain semantic clustering for navigable information retrieval.

What is the maximum depth constraint for maintaining a recursive knowledge tree structure?▼

The maximum depth constraint for maintaining a recursive knowledge tree structure is depth 6, ensuring file path conventions and semantic clustering are preserved across all nested nodes.

How do I clean up obsolete information and prune empty dead-end nodes in a knowledge base?▼

Clean up obsolete information by executing MERGE and PRUNE operations to combine sparse nodes and remove empty dead-end nodes, keeping the knowledge base navigable and up-to-date.

Does the tree-growth skill work with markdown files and yaml configurations?▼

Yes, the tree-growth skill operates directly on mind/knowledge/tree/_tree.yaml configurations and associated markdown files to manage node structure and maintain dynamic knowledge trees.

When should I sprout new nodes for unmapped information in a dynamic knowledge tree?▼

Sprout new nodes when unmapped information emerges during knowledge base expansion, creating dedicated branches for emerging concepts to ensure efficient organization and retrieval of new data.

Related Skills

Explore More Data & Analytics Skills→
jordanhubbardjordanhubbard
9

llm-wiki

Import, organize, and link markdown files into a structured knowledge base.

Community
Advanced
davidrrowleydavidrrowley

azure-kusto

Query Azure Data Explorer clusters with KQL to retrieve logs and telemetry.

Community
Advanced
FuncSmileFuncSmile

AgentDB Vector Search

Perform semantic vector search and document retrieval with AgentDB.

Community
Advanced
liuridaliurida

gorm-polymorphism

Define polymorphic has-one and has-many associations in GORM.

Community
Intermediate