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treelisty-openclaw-skilltreelisty OpenClaw 技能

Agent Skill

treelisty-openclaw-skill 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

58,212

周安装

2,475

GitHub Stars

4

下载量

20,394
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:treelisty-openclaw-skill(treelisty OpenClaw 技能)
来源仓库:https://github.com/prairie2cloud/treelisty-openclaw-skill
安装命令:
openclaw skills install treelisty-openclaw-skill
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install treelisty-openclaw-skill

简介

分层项目分解和规划。在分解复杂项目、构建信息、规划多步骤工作流程或组织任何嵌套层次结构时使用。支持 21 种专业模式(WBS、GTD、哲学、销售、电影等)并导出为 JSON、Markdown 和 Mermaid 图。

SKILL.md

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

PatternIconBest 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
lifetree🌳Biographical timelines
custom✏️Define your own level names

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",
          "patternType": "Core Feature",
          "subtasks": [
            {
              "name": "Implement login",
              "type": "subtask"
            }
          ]
        }
      ]
    }
  ]
}

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
  1. 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
  1. Validate the structure:
   node scripts/treelisty-cli.js validate --input project.json
  1. Export for user consumption:
   node scripts/treelisty-cli.js export --input project.json --format mermaid
  1. 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

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

87.47%
按下载量换算17,839

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

未展示

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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