obsidian-canvas-creator
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.
下記のコマンドをコピーしてターミナル(Mac/Linux)または PowerShell(Windows)に貼り付けてください。 ダウンロード → 解凍 → 配置まで全自動。
mkdir -p ~/.claude/skills && cd ~/.claude/skills && curl -L -o obsidian-canvas-creator.zip https://jpskill.com/download/23402.zip && unzip -o obsidian-canvas-creator.zip && rm obsidian-canvas-creator.zip
$d = "$env:USERPROFILE\.claude\skills"; ni -Force -ItemType Directory $d | Out-Null; iwr https://jpskill.com/download/23402.zip -OutFile "$d\obsidian-canvas-creator.zip"; Expand-Archive "$d\obsidian-canvas-creator.zip" -DestinationPath $d -Force; ri "$d\obsidian-canvas-creator.zip"
完了後、Claude Code を再起動 → 普通に「動画プロンプト作って」のように話しかけるだけで自動発動します。
💾 手動でダウンロードしたい(コマンドが難しい人向け)
- 1. 下の青いボタンを押して
obsidian-canvas-creator.zipをダウンロード - 2. ZIPファイルをダブルクリックで解凍 →
obsidian-canvas-creatorフォルダができる - 3. そのフォルダを
C:\Users\あなたの名前\.claude\skills\(Win)または~/.claude/skills/(Mac)へ移動 - 4. Claude Code を再起動
⚠️ ダウンロード・利用は自己責任でお願いします。当サイトは内容・動作・安全性について責任を負いません。
🎯 このSkillでできること
下記の説明文を読むと、このSkillがあなたに何をしてくれるかが分かります。Claudeにこの分野の依頼をすると、自動で発動します。
📦 インストール方法 (3ステップ)
- 1. 上の「ダウンロード」ボタンを押して .skill ファイルを取得
- 2. ファイル名の拡張子を .skill から .zip に変えて展開(macは自動展開可)
- 3. 展開してできたフォルダを、ホームフォルダの
.claude/skills/に置く- · macOS / Linux:
~/.claude/skills/ - · Windows:
%USERPROFILE%\.claude\skills\
- · macOS / Linux:
Claude Code を再起動すれば完了。「このSkillを使って…」と話しかけなくても、関連する依頼で自動的に呼び出されます。
詳しい使い方ガイドを見る →- 最終更新
- 2026-05-18
- 取得日時
- 2026-05-18
- 同梱ファイル
- 5
📖 Claude が読む原文 SKILL.md(中身を展開)
この本文は AI(Claude)が読むための原文(英語または中国語)です。日本語訳は順次追加中。
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
-
Quote Handling:
- Chinese double quotes → 『』
- Chinese single quotes → 「」
- English double quotes →
\"
-
ID Generation:
- 8-12 character random hex strings
- Must be unique across all nodes and edges
-
Z-Index Order:
- Output groups first (bottom layer)
- Then subgroups
- Finally text/link nodes (top layer)
-
Spacing Requirements:
- Minimum horizontal: 320px between node centers
- Minimum vertical: 200px between node centers
- Account for node dimensions when calculating
-
JSON Structure:
- Top level contains only
nodesandedgesarrays - No extra wrapping objects
- No comments in output
- Top level contains only
-
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:
- Identify center: "Solar System"
- Primary branches: Inner Planets, Outer Planets, Dwarf Planets
- Secondary nodes: Individual planets with key facts
- Apply radial layout
- Generate JSON with proper spacing
Freeform Content Request
User: "Turn this article into a canvas" + [article text]
Process:
- Extract article structure (intro, body sections, conclusion)
- Identify key concepts and relationships
- Group related sections spatially
- Connect with labeled edges
- 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
- Keep text concise: Each node should be scannable (<2 lines preferred)
- Use hierarchy: Group by importance and relationship
- Balance the canvas: Distribute nodes to avoid clustering
- Strategic colors: Use colors to encode meaning, not just decoration
- Meaningful connections: Only add edges that clarify relationships
- 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)
同梱ファイル
※ ZIPに含まれるファイル一覧。`SKILL.md` 本体に加え、参考資料・サンプル・スクリプトが入っている場合があります。
- 📄 SKILL.md (6,518 bytes)
- 📎 assets/template-freeform-grouped.canvas (2,383 bytes)
- 📎 assets/template-mindmap-simple.canvas (2,003 bytes)
- 📎 references/canvas-spec.md (8,673 bytes)
- 📎 references/layout-algorithms.md (16,779 bytes)