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mermaid-mind-mapMermaid mind MAP 搜索

Agent Skill

mermaid-mind-map 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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

3,024

周安装

126

GitHub Stars

33

下载量

1,008
CodexClaudeCursorGemini CLI

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

unknown

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:mermaid-mind-map(Mermaid mind MAP 搜索)
来源仓库:https://github.com/mblode/agent-skills
仓库路径:skills/mermaid-mind-map
安装命令:
npx skills add https://github.com/mblode/agent-skills --skill mermaid-mind-map
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/mblode/agent-skills --skill mermaid-mind-map

简介

用于查找、检索和筛选相关信息,适合快速定位候选结果。

  • 支持基于关键词、任务场景或来源线索进行信息筛选与整理。
  • 通过 npx 命令从 GitHub 仓库安装,需确认权限范围和维护状态。
  • 使用前建议核实是否会触发联网、命令执行或文件读写操作。
  • mermaid-mind-map 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Mermaid Mind Map

Analyze source material and produce a Mermaid mindmap diagram with 2-4 levels of branching hierarchy.

Reference Files

FileRead When
references/mermaid-syntax.mdDefault: mind map node shapes, indentation, icons, known limitations
references/generation-guidelines.mdDefault: node text constraints, depth control, source-type strategies
references/mermaid-reference.mdGenerating non-mind-map Mermaid diagrams or needing broader syntax

Workflow

Copy this checklist to track progress:

Mind map progress:
- [ ] Step 1: Determine source type
- [ ] Step 2: Set scope (depth, budget, central concept)
- [ ] Step 3: Extract structure
- [ ] Step 4: Generate Mermaid mind map
- [ ] Step 5: Validate output
- [ ] Step 6: Present to user

Step 1: Determine source type

Identify which source type applies and run the corresponding discovery actions:

  • Topic exploration: User names a concept. Ask one clarifying question about scope or audience if ambiguous. No file scanning needed.
  • Codebase overview: Scan project structure. Read key config files (package.json, pyproject.toml, etc.). Map modules, entry points, and dependencies.
  • File/document summary: Read the target file. Extract key themes, sections, and relationships between ideas.
  • Feature planning / debugging: Gather requirements or symptoms. Decompose into components, phases, or possible causes.

Step 2: Set scope

Choose a depth level using the table in references/generation-guidelines.md (overview, standard, or detailed). Ask the user only if unclear. Default to standard (3 levels, 15-30 nodes).

Set the central concept: one clear noun or short phrase (1-3 words) for the root node. Total node budget: 40 max.

Step 3: Extract structure

  • Identify 3-7 main branches from the source material (5 is ideal).
  • For each branch, identify 2-5 sub-nodes per the depth setting.
  • Group related concepts under the same branch.
  • Each node must be a single keyword or short phrase, never a sentence.
  • See references/generation-guidelines.md for node text word limits and keyword extraction techniques.

Step 4: Generate Mermaid mind map

Load references/mermaid-syntax.md for exact syntax. Generate inside a fenced mermaid code block.

Use node shapes intentionally (see references/generation-guidelines.md for the full shape strategy):

  • Root: ((circle)) for the central concept
  • Main branches: [square] for categories, (rounded) for processes
  • Leaf nodes: default for general items, {cloud} for uncertain items

Step 5: Validate

Run these checks before presenting. If any fail, revise and re-check:

  • Total node count (including root) is 40 or fewer
  • Maximum depth does not exceed selected level
  • No node text exceeds 6 words
  • Root node text is 1-3 words
  • Each main branch has 2-7 children
  • No single-child branches (merge upward if found)
  • No unescaped ()[]{} in plain-text nodes (will break Mermaid parsing)
  • Branch depths are balanced (within 1 level of each other)

Step 6: Present output

Output the mind map in a fenced mermaid code block:

mindmap root((Central Concept)) [Branch 1] Sub-topic A Sub-topic B [Branch 2] Sub-topic C (Process D)

Note where it renders: GitHub markdown, Mermaid Live Editor, VS Code with Mermaid extension.

If the user requests a file, write to a .md file containing the fenced block.

Anti-patterns

  • Sentences as node labels (split into parent concept with child details instead)
  • Depth beyond 4 levels (Mermaid becomes unreadable; split into multiple maps)
  • More than 40 nodes (split into multiple focused maps)
  • Adding icons unless requested (require Font Awesome, may not render)
  • Mixing mindmap with other Mermaid diagram types in one code block

Related skills

  • presentation-creator for slide decks that complement visual overviews
  • define-architecture for detailed architecture decisions beyond visual mapping

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

Codex

37.09%
按下载量换算374

Claude

31.24%
按下载量换算315

Cursor

19.2%
按下载量换算194

Gemini CLI

9.28%
按下载量换算94

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。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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