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obsidian-canvas-creatorObsidian canvas creator 命令行

Agent Skill

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。

总安装

17,136

周安装

708

GitHub Stars

公开资料未说明

下载量

5,488
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: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

简介

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。

SKILL.md

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)

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

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。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。

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