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graphviz-skill图形可视化技能

Agent Skill

graphviz-skill 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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

4,163

周安装

177

GitHub Stars

公开资料未说明

下载量

1,458
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:graphviz-skill(图形可视化技能)
来源仓库:https://github.com/redf426/graphviz-skill
安装命令:
openclaw skills install graphviz-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 graphviz-skill

简介

将自然语言描述转换为 Graphviz DOT 可视化,支持架构图、流程图等多种图形生成。

  • 适用于系统设计展示、依赖关系梳理和状态机建模等效率提升场景。
  • 输入文字描述后自动生成 SVG/PNG 图像,便于嵌入文档或演示材料。
  • 需确保 Graphviz 已安装并配置 PATH,否则无法渲染输出文件。
  • 复杂结构建议分步描述,避免单次输入过长导致布局错乱。

SKILL.md

name
graphviz
description
Generate architecture diagrams, flowcharts, dependency graphs, state machines, and other visualizations from natural language descriptions using Graphviz DOT. Use when: user asks to draw, visualize, or diagram something -- architecture, flow, schema, dependencies, states, ER diagram, block diagram. Returns a clickable GraphvizOnline link with rendered preview.
metadata
{ "openclaw": { "emoji": "📐" } }

Graphviz Diagram Generator

Generate diagrams from natural language descriptions and return a clickable link to GraphvizOnline with the rendered preview.

When to Use

  • "Draw the architecture of ..."
  • "Make a diagram showing ..."
  • "Visualize the data flow between ..."
  • "Create a flowchart for ..."
  • "Show dependencies between ..."
  • "State machine diagram for ..."
  • "ER diagram of ..."
  • Any request involving diagrams, graphs, schemas, architecture visualization

Workflow

  1. If the user's description is vague, ask one clarifying question before generating
  2. Generate valid DOT code following the conventions below
  3. Show the DOT code in a fenced ```dot block
  4. Construct the URL: https://dreampuf.github.io/GraphvizOnline/# + URL-encoded DOT code
  5. Output the link on its own line so it's clickable

DOT Code Conventions

Graph type

  • digraph for directed graphs (architecture, flows, dependencies, state machines)
  • graph for undirected graphs (relationships, peer networks)

Layout direction

  • rankdir=LR for wide/horizontal layouts (architecture, pipelines)
  • rankdir=TB for tall/vertical layouts (flowcharts, hierarchies)

Node shapes by component type

  • box or component -- services, applications, modules
  • cylinder -- databases, storage
  • ellipse -- users, actors, external systems
  • diamond -- decision points (flowcharts)
  • folder -- directories, namespaces, packages
  • note -- annotations, comments
  • record -- structured data, ER entities (use <field> syntax for fields)
  • doublecircle -- start/end states (state machines)
  • circle -- intermediate states

Grouping

  • Use subgraph cluster_name { label="Group Name"; ... } to group related components
  • Give clusters a light fill: style=filled; color=lightgrey;

Styling

  • Use fontname="Helvetica" on the graph for clean rendering
  • Color-code edges or nodes to distinguish component types when helpful
  • Keep labels concise -- full names on nodes, short verbs on edges
  • Use style=dashed for optional or async connections

Edges

  • Label edges with the relationship or protocol: -> with [label="HTTP"], [label="gRPC"], [label="publishes"]
  • Use style=dashed for async/optional connections
  • Use dir=both for bidirectional relationships

URL Construction

Construct the GraphvizOnline URL by URL-encoding the entire DOT source and appending it as a hash fragment:

https://dreampuf.github.io/GraphvizOnline/#<URL-encoded DOT code>

The DOT code must be encoded with standard percent-encoding (spaces -> %20, newlines -> %0A, etc.).

Output Format

Always output in this order:

  1. Brief description of what the diagram shows (1 sentence)
  2. The DOT source in a fenced ```dot block
  3. The clickable GraphvizOnline link on its own line

Example output structure:

Architecture showing the API gateway routing to backend services: ``dot digraph { ... } `` Open in GraphvizOnline

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

70.56%
按下载量换算1,029

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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