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Tree Viewer — Reflection & Visualization Skill

Analyze local tree files to generate reflective summaries and targeted questions.

Updated Jul 5, 2025
Search Tags:#visualization#personal development#reflection#graph analysis#learning progress#knowledge map#growth insights
One-click install
npx skills add https://github.com/nsuberi/ai-prototype-hub --skill tree-viewer-reflection-visualization-skill
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Tree Viewer — Reflection & Visualization Skill
Source: https://github.com/nsuberi/ai-prototype-hub/tree/main/prototypes/research-workspace/vault-seed/.claude/skills/tree-viewer
Command: npx skills add https://github.com/nsuberi/ai-prototype-hub --skill tree-viewer-reflection-visualization-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you understand how your knowledge tree is growing, where connections are missing, and what to explore next through reflective summaries and targeted questions.

Core Features & Use Cases

  • Tree state summarization: Computes totals by node type (roots, branches, leaves, flowers) and highlights active, dormant, and synthesis-approaching areas.
  • Growth pattern detection: Surfaces which roots feed the most branches, flags untapped roots and floating branches, and identifies cross-branch clusters.
  • Personalized reflective prompts: Generates guided questions and suggests next explorations based on gaps and lineage.

Quick Start

Ask the assistant to show your tree and it will summarize your .tree.json state, ask personalized reflection questions, and suggest your next best branch to grow.

Frequently Asked Questions about Tree Viewer — Reflection & Visualization Skill

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

FAQPage Schema
How do I visualize my personal knowledge map and track learning progress?▼

Visualize your knowledge map by loading a local tree file, which generates reflective summaries and chat-ready statistics to highlight active, dormant, and synthesis-approaching areas.

What is knowledge tree reflection and how does graph analysis identify learning gaps?▼

Knowledge tree reflection analyzes node distribution, recency, and lineage through graph analysis to surface untapped roots, floating branches, and cross-branch clusters, identifying missing connections in your learning.

How do I generate a weekly digest of my growth insights from a local tree file?▼

Generate growth insights by triggering periodic weekly digests, which apply deterministic analysis steps to your local tree file to produce tailored reflective questions and UI triggers.

Do I need external data or dependencies to analyze my knowledge tree state?▼

No external data or dependencies are required to analyze your knowledge tree state; the process loads full state locally and follows deterministic analysis steps without external integration.

What's the best way to find cross-branch clusters and untapped roots in my knowledge tree?▼

The best way to find cross-branch clusters and untapped roots is through growth pattern detection, which surfaces which roots feed the most branches and flags untapped areas.

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