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Agent Skill · 效率

obsidian-canvas-creator(Obsidian canvas creator 命令行)

obsidian-canvas-creator 用于整理文档、README、Markdown 和说明材料,适合在 OpenClaw 中需要把零散信息整理成结构清晰的文档时使用。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。

obsidian-canvas-creator 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 3,492。

总安装 17,136周安装 708GitHub Stars 公开资料未说明下载 5,488核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.1

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:obsidian-canvas-creator(Obsidian canvas creator 命令行)
来源仓库:https://github.com/axtonliu/obsidian-canvas-creator
安装命令:
openclaw skills install obsidian-canvas-creator
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 obsidian-canvas-creator

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

从文本创建 Obsidian Canvas 文件,支持思维导图和自由布局。适用于知识整理、文档结构和信息可视化任务。obsidian-canvas-creator 属于效率类 Skill,可作为该场景下的辅助能力补充。提供 MindMap 模板和自定义节点排列功能。通过命令行工具集成到 OpenClaw 工作流中。

需确保目标目录可写,避免因权限问题导致创建失败。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install obsidian-canvas-creator;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

obsidian-canvas-creator 怎么安装?

在终端执行 openclaw skills install obsidian-canvas-creator。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

obsidian-canvas-creator 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

obsidian-canvas-creator 需要什么权限?

权限级别是需要联网。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。

obsidian-canvas-creator 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

obsidian-canvas-creator 用的人多吗?

公开数据是累计安装 17,136 次,近一周安装 708 次,下载 5,488 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

obsidian-canvas-creator 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
obsidian-canvas-creator

Obsidian canvas creator 命令行 · 本页

17,136—需要联网MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
obsidian-canvas-creator
description
Create Obsidian Canvas files from text content, supporting both MindMap and freeform layouts. Use this skill when users want to visualize content as an interactive canvas, create mind maps, or organize information spatially in Obsidian format.

Obsidian Canvas Creator

Transform text content into structured Obsidian Canvas files with support for MindMap and freeform layouts.

When to Use This Skill

  • User requests to create a canvas, mind map, or visual diagram from text
  • User wants to organize information spatially
  • User mentions "Obsidian Canvas" or similar visualization tools
  • Converting structured content (articles, notes, outlines) into visual format

Core Workflow

1. Analyze Content

Read and understand the input content:

  • Identify main topics and hierarchical relationships
  • Extract key points, facts, and supporting details
  • Note any existing structure (headings, lists, sections)

2. Determine Layout Type

Ask user to choose or infer from context:

MindMap Layout:

  • Radial structure from center
  • Parent-child relationships
  • Clear hierarchy
  • Good for: brainstorming, topic exploration, hierarchical content

Freeform Layout:

  • Custom positioning
  • Flexible relationships
  • Multiple connection types
  • Good for: complex networks, non-hierarchical content, custom arrangements

3. Plan Structure

For MindMap:

  • Identify central concept (root node)
  • Map primary branches (main topics)
  • Organize secondary branches (subtopics)
  • Position leaf nodes (details)

For Freeform:

  • Group related concepts
  • Identify connection patterns
  • Plan spatial zones
  • Consider visual flow

4. Generate Canvas

Create JSON following the Canvas specification:

Node Creation:

  • Assign unique 8-12 character hex IDs
  • Set appropriate dimensions based on content length
  • Apply consistent color schemes
  • Ensure no coordinate overlaps

Edge Creation:

  • Connect parent-child relationships
  • Use appropriate arrow styles
  • Add labels for complex relationships
  • Choose line styles (straight for hierarchy, curved for cross-references)

Grouping (Optional):

  • Create visual containers for related nodes
  • Use subtle background colors
  • Add descriptive labels

5. Apply Layout Algorithm

MindMap Layout Calculations:

Refer to references/layout-algorithms.md for detailed algorithms. Key principles:

  • Center root at (0, 0)
  • Distribute primary nodes radially
  • Space secondary nodes based on sibling count
  • Maintain minimum spacing: 320px horizontal, 200px vertical

Freeform Layout Principles:

  • Start with logical groupings
  • Position groups with clear separation
  • Connect across groups with curved edges
  • Balance visual weight across canvas

6. Validate and Output

Before outputting:

Validation Checklist:

  • All nodes have unique IDs
  • No coordinate overlaps (check distance > node dimensions + spacing)
  • All edges reference valid node IDs
  • Groups (if any) have labels
  • Colors use consistent format (hex or preset numbers)
  • JSON is properly escaped (Chinese quotes: 『』 for double, 「」 for single)

Output Format:

  • Complete, valid JSON Canvas file
  • No additional explanation text
  • Directly importable into Obsidian

Node Sizing Guidelines

Text Length-Based Sizing:

  • Short text (<30 chars): 220 × 100 px
  • Medium text (30-60 chars): 260 × 120 px
  • Long text (60-100 chars): 320 × 140 px
  • Very long text (>100 chars): 320 × 180 px

Color Schemes

Preset Colors (Recommended):

  • "1" - Red (warnings, important)
  • "2" - Orange (action items)
  • "3" - Yellow (questions, notes)
  • "4" - Green (positive, completed)
  • "5" - Cyan (information, details)
  • "6" - Purple (concepts, abstract)

Custom Hex Colors: Use for brand consistency or specific themes. Always use uppercase format: "#4A90E2"

Critical Rules

  1. Quote Handling:

- Chinese double quotes → 『』 - Chinese single quotes → 「」 - English double quotes → \"

  1. ID Generation:

- 8-12 character random hex strings - Must be unique across all nodes and edges

  1. Z-Index Order:

- Output groups first (bottom layer) - Then subgroups - Finally text/link nodes (top layer)

  1. Spacing Requirements:

- Minimum horizontal: 320px between node centers - Minimum vertical: 200px between node centers - Account for node dimensions when calculating

  1. JSON Structure:

- Top level contains only nodes and edges arrays - No extra wrapping objects - No comments in output

  1. No Emoji:

- Do not use any Emoji symbols in node text - Use color coding or text labels for visual distinction instead

Examples

Simple MindMap Request

User: "Create a mind map about solar system planets"

Process:

  1. Identify center: "Solar System"
  2. Primary branches: Inner Planets, Outer Planets, Dwarf Planets
  3. Secondary nodes: Individual planets with key facts
  4. Apply radial layout
  5. Generate JSON with proper spacing

Freeform Content Request

User: "Turn this article into a canvas" + [article text]

Process:

  1. Extract article structure (intro, body sections, conclusion)
  2. Identify key concepts and relationships
  3. Group related sections spatially
  4. Connect with labeled edges
  5. Apply freeform layout with clear zones

Reference Documents

  • Canvas Specification: references/canvas-spec.md - Complete JSON Canvas format specification
  • Layout Algorithms: references/layout-algorithms.md - Detailed positioning algorithms for both layout types

Load these references when:

  • Need specification details for edge cases
  • Implementing complex layout calculations
  • Troubleshooting validation errors

Tips for Quality Canvases

  1. Keep text concise: Each node should be scannable (<2 lines preferred)
  2. Use hierarchy: Group by importance and relationship
  3. Balance the canvas: Distribute nodes to avoid clustering
  4. Strategic colors: Use colors to encode meaning, not just decoration
  5. Meaningful connections: Only add edges that clarify relationships
  6. Test in Obsidian: Verify the output opens correctly

Common Pitfalls to Avoid

  • Overlapping nodes (always check distances)
  • Inconsistent quote escaping (breaks JSON parsing)
  • Missing group labels (causes sidebar navigation issues)
  • Too much text in nodes (use file nodes for long content)
  • Duplicate IDs (each must be unique)
  • Unconnected nodes (unless intentional islands)

平台分布

OpenClaw

75.3%
按下载量换算4,132

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。目前只有一个公开来源,建议同时核对源仓库。

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