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Mindflow

先用 LLM 把输入文本整理成思维导图 Markdown,再用 markmap 生成离线 HTML,最后用基于 puppeteer 的脚本渲染为 PNG/JPG 图片;支持 .md/.txt 文件路径输入、--auto-fit 自适应尺寸与输出格式参数。

newtoolai
newtoolai
热度 90.87
最近更新 2026-05-17 15:21:34
分类:效率依赖:代码执行 / 读写文件 / 内部调用大模型应用场景:摘要总结 / 图像生成 / 笔记整理

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add mindflow
Metadata
name
mindflow
description
Converts text, Markdown files, or Txt files into mind map images. Use this skill when users want to generate mind maps/brain maps from articles, broadcast scripts, notes, or any text content. Supports specifying output format and resolution. This skill should be triggered whenever text needs to be converted into image-based mind maps, regardless of whether users explicitly mention "mind map" or "思维导图"
compatibility
Requires JavaScript runtime environment (Node.js or Bun) dependencies: markmap-cli, markmap-lib, markmap-render, puppeteer

Text to Mind Map Skill

This skill converts user-input text, Markdown files, or Txt files into mind map images.

Dependency Installation

# Using npm
npm install markmap-cli markmap-lib markmap-render puppeteer

# Using bun
bun install markmap-cli markmap-lib markmap-render puppeteer

Workflow

Input Content → text-to-markdown → markdown-to-html → html-to-image → Output Image
→ [If user uses openclaw, send the image to the user as a file]

Step 1: text-to-markdown

Use LLM to convert input content into mind map Markdown format according to the following rules:

Rule Specifications:

  • Extract Core Content: Extract key points from broadcast scripts with high information density, concise and clear, without omitting important points
  • Reduce Hallucinations: Generated content must come from the input broadcast script; do not fabricate, rewrite, exaggerate, flatter, omit, or produce hallucinations
  • Strictly Follow Node Hierarchy: Only one root node, subsequent nodes progress by hierarchy levels
  • Support All Basic Markdown Syntax: Bold, code, links, and LaTeX formulas can be embedded in node text
  • Output Format Compliance: Strictly follow the format below; do not output any other extraneous content
  • Use Appropriate Emoji: Use relevant emojis appropriately to enhance visual expression, but avoid excessive use
  • Content Limit: Ensure output content is limited to 300 tokens
  • Hierarchy Limit: Mind map generates maximum 4 levels (root node counts as level 1)

Output Format:

# Root Node (must have exactly one)
## Level 2 Node
### Level 3 Node
- List items are also supported
- **Bold**, `code`, [link](url)
- $LaTeX formula$

Step 2: markdown-to-html

Use markmap command to convert Markdown to HTML:

markmap --offline --no-open --no-toolbar -o <html_file> <markdown_file>

Step 3: html-to-image

Use html-to-image.js to convert HTML to image (default: jpg format):

node (or bun) scripts/html-to-image.js --auto-fit <input-html> <output-image>

Parameter Specifications:

Parameter Description
-t jpg Output format is png (default)
--auto-fit Auto-detect mindmap content size and adapt dimensions
input-html Input HTML file path
output-image Output image path

Execution Steps

  1. Read user-input text content or file path
  2. Call LLM to convert content into mind map Markdown format according to the rules above
  3. Save the generated Markdown to a temporary file (e.g., /tmp/mindmap.md)
  4. Execute markmap --offline --no-open --no-toolbar -o <html_file> <markdown_file> to generate HTML
  5. Execute node (or bun) scripts/html-to-image.js --auto-fit <html_file> <output-image> to generate PNG image
  6. Inform user of the output image path | If user uses openclaw, send the image to the user as a file

Input Types

  • Directly input text content
  • .md file path
  • .txt file path

Output

  • Generated mind map image file (default: PNG format)

Examples

Example 1:

  • User Input: "How to learn React"
  • Output: PNG image of React learning path mind map

Example 2:

  • User Input: "Help me convert this markdown file to a mind map: /path/to/notes.md"
  • Output: PNG image of mind map corresponding to notes.md content