treelisty

name	treelisty
description	Hierarchical project decomposition and planning. Use when breaking down complex projects, structuring information, planning multi-step workflows, or organizing any nested hierarchy. Supports 21 specialized patterns (WBS, GTD, Philosophy, Sales, Film, etc.) and exports to JSON, Markdown, and Mermaid diagrams.
license	Apache-2.0
metadata	{"author":"prairie2cloud","version":"1.0.0","openclaw":{"requires":{"bins":["node"]}}}

TreeListy Skill

TreeListy is your hierarchical decomposition engine. When you need to break down a complex topic, plan a project, or structure information in a tree format, use TreeListy.

When to Use This Skill

Use TreeListy when:

• Decomposing complex tasks — Break a large goal into phases, items, and actionable tasks
• Project planning — Create WBS, roadmaps, or strategic plans with proper hierarchy
• Structuring analysis — Organize arguments (philosophy), dialogues, or knowledge bases
• Content organization — Plan books, courses, theses, or event schedules
• Visual documentation — Generate Mermaid diagrams for any hierarchical structure

Quick Start

# List available patterns
node scripts/treelisty-cli.js patterns

# Create a structured decomposition
node scripts/treelisty-cli.js decompose --pattern wbs --input "Build a mobile app"

# Export to Mermaid diagram
node scripts/treelisty-cli.js export --input tree.json --format mermaid

The 21 Patterns

Pattern	Icon	Best For
generic	📋	General projects, default structure
sales	💼	Sales pipelines, quarterly deals
thesis	🎓	Academic papers, dissertations
roadmap	🚀	Product roadmaps, feature planning
book	📚	Books, novels, screenplay structure
event	🎉	Event planning, conferences
fitness	💪	Training programs, workout plans
strategy	📊	Business strategy, OKRs
course	📖	Curricula, lesson plans
film	🎬	AI video production (Sora, Veo)
veo3	🎥	Google Veo 3 workflows
sora2	🎬	OpenAI Sora 2 workflows
philosophy	🤔	Philosophical arguments, dialogues
prompting	🧠	Prompt engineering libraries
familytree	👨‍👩‍👧‍👦	Genealogy, family history
dialogue	💬	Debate analysis, rhetoric
filesystem	💾	File/folder organization
gmail	📧	Email workflows
knowledge-base	📚	Document corpora, RAG prep
capex	💰	Capital expenditure, investor pitches
freespeech	🎙️	Voice capture pattern analysis

Commands

patterns — Discover available patterns

# List all patterns
node scripts/treelisty-cli.js patterns

# Get details for a specific pattern
node scripts/treelisty-cli.js patterns --name philosophy

# Get full JSON schema
node scripts/treelisty-cli.js patterns --name philosophy --detail

decompose — Create structured trees

Takes text input (topic, outline, or structured text) and applies a pattern template.

# Simple topic
node scripts/treelisty-cli.js decompose \
  --pattern roadmap \
  --input "Q1 Product Roadmap for AI Assistant" \
  --format json

# From structured input (markdown headers, indented lists)
echo "# Marketing Campaign
## Research Phase
- Market analysis
- Competitor review
## Execution Phase
- Content creation
- Launch ads" | node scripts/treelisty-cli.js decompose --pattern strategy --format json

# Output as Mermaid
node scripts/treelisty-cli.js decompose \
  --pattern wbs \
  --input "Website Redesign Project" \
  --format mermaid

Options:

• --pattern <key> — Pattern to apply (default: generic)
• --input <text|file> — Topic text, file path, or stdin
• --name <name> — Override root node name
• --depth <1-4> — Maximum tree depth
• --format <fmt> — Output: json, markdown, mermaid

export — Convert trees to other formats

# To Markdown
node scripts/treelisty-cli.js export --input tree.json --format markdown

# To Mermaid diagram
node scripts/treelisty-cli.js export --input tree.json --format mermaid

# To CSV
node scripts/treelisty-cli.js export --input tree.json --format csv

# To checklist
node scripts/treelisty-cli.js export --input tree.json --format checklist

Formats: json, markdown, mermaid, csv, checklist, html

validate — Check tree quality

# Human-readable report
node scripts/treelisty-cli.js validate --input tree.json

# JSON report
node scripts/treelisty-cli.js validate --input tree.json --format json

Returns:

• Quality score (0-100)
• Structure analysis (node counts, depth, balance)
• Issues (errors, warnings, suggestions)
• Pattern compliance check

push — Send to live TreeListy (optional)

If the user has TreeListy open in their browser with MCP bridge enabled:

node scripts/treelisty-cli.js push \
  --input tree.json \
  --port 3456

This displays the tree in TreeListy's visual canvas for interactive exploration.

Tree Data Model

Trees follow this structure:

{
  "id": "n_abc12345",
  "treeId": "tree_xyz78901",
  "name": "Project Name",
  "type": "root",
  "pattern": "roadmap",
  "icon": "🚀",
  "description": "Optional description",
  "expanded": true,
  "children": [
    {
      "name": "Phase 1",
      "type": "phase",
      "items": [
        {
          "name": "Feature A",
          "type": "item",
           
           
            
               
               
            
          
        
      
    
  

Hierarchy: Root → Phases (children) → Items (items) → Subtasks (subtasks)

Each pattern adds custom fields. For example, roadmap adds storyPoints, userImpact, technicalRisk.

Workflow Example

1. Agent receives complex task from user

2. Decompose with appropriate pattern:

   node scripts/treelisty-cli.js decompose \
     --pattern wbs \
     --input "Build an e-commerce platform with user auth, product catalog, shopping cart, and checkout" \
     --format json > project.json
   

3. Validate the structure:

   node scripts/treelisty-cli.js validate --input project.json
   

4. Export for user consumption:

   node scripts/treelisty-cli.js export --input project.json --format mermaid
   

5. Share the Mermaid diagram in response to user.

No AI Tokens Used

All TreeListy operations are local pattern transformations. Zero API calls, zero token cost. The skill structures your content using 21 battle-tested hierarchical templates.

Learn More

• Full pattern reference: references/PATTERNS.md
• TreeListy visual app: https://treelisty.com
• Source: https://github.com/prairie2cloud/treelisty