json-canvas▌
kepano/obsidian-skills · updated Apr 8, 2026
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Create and edit JSON Canvas files with nodes, edges, groups, and visual connections.
- ›Supports four node types: text (with Markdown), file references, external links, and visual groups for organizing layouts
- ›Edges connect nodes with optional labels, directional arrows, anchor points (top/right/bottom/left), and color coding
- ›Includes comprehensive validation workflows: ID uniqueness checks, edge reference integrity, and JSON parsing to prevent broken canvases
- ›Provides layout guideli
JSON Canvas Skill
File Structure
A canvas file (.canvas) contains two top-level arrays following the JSON Canvas Spec 1.0:
{
"nodes": [],
"edges": []
}
nodes(optional): Array of node objectsedges(optional): Array of edge objects connecting nodes
Common Workflows
1. Create a New Canvas
- Create a
.canvasfile with the base structure{"nodes": [], "edges": []} - Generate unique 16-character hex IDs for each node (e.g.,
"6f0ad84f44ce9c17") - Add nodes with required fields:
id,type,x,y,width,height - Add edges referencing valid node IDs via
fromNodeandtoNode - Validate: Parse the JSON to confirm it is valid. Verify all
fromNode/toNodevalues exist in the nodes array
2. Add a Node to an Existing Canvas
- Read and parse the existing
.canvasfile - Generate a unique ID that does not collide with existing node or edge IDs
- Choose position (
x,y) that avoids overlapping existing nodes (leave 50-100px spacing) - Append the new node object to the
nodesarray - Optionally add edges connecting the new node to existing nodes
- Validate: Confirm all IDs are unique and all edge references resolve to existing nodes
3. Connect Two Nodes
- Identify the source and target node IDs
- Generate a unique edge ID
- Set
fromNodeandtoNodeto the source and target IDs - Optionally set
fromSide/toSide(top, right, bottom, left) for anchor points - Optionally set
labelfor descriptive text on the edge - Append the edge to the
edgesarray - Validate: Confirm both
fromNodeandtoNodereference existing node IDs
4. Edit an Existing Canvas
- Read and parse the
.canvasfile as JSON - Locate the target node or edge by
id - Modify the desired attributes (text, position, color, etc.)
- Write the updated JSON back to the file
- Validate: Re-check all ID uniqueness and edge reference integrity after editing
Nodes
Nodes are objects placed on the canvas. Array order determines z-index: first node = bottom layer, last node = top layer.
Generic Node Attributes
| Attribute | Required | Type | Description |
|---|---|---|---|
id |
Yes | string | Unique 16-char hex identifier |
type |
Yes | string | text, file, link, or group |
x |
Yes | integer | X position in pixels |
y |
Yes | integer | Y position in pixels |
width |
Yes | integer | Width in pixels |
height |
Yes | integer | Height in pixels |
color |
No | canvasColor | Preset "1"-"6" or hex (e.g., "#FF0000") |
Text Nodes
| Attribute | Required | Type | Description |
|---|---|---|---|
text |
Yes | string | Plain text with Markdown syntax |
{
"id": "6f0ad84f44ce9c17",
"type": "text",
"x": 0,
"y": 0,
"width": 400,
"height": 200,
"text": "# Hello World\n\nThis is **Markdown** content."
}
Newline pitfall: Use \n for line breaks in JSON strings. Do not use the literal \\n -- Obsidian renders that as the characters \ and n.
File Nodes
| Attribute | Required | Type | Description |
|---|---|---|---|
file |
Yes | string | Path to file within the system |
subpath |
No | string | Link to heading or block (starts with #) |
{
"id": "a1b2c3d4e5f67890",
"type": "file",
"x": 500,
"y": 0,
"width": 400,
"height": 300,
"file": "Attachments/diagram.png"
}
Link Nodes
| Attribute | Required | Type | Description |
|---|---|---|---|
url |
Yes | string | External URL |
{
"id": "c3d4e5f678901234",
"type": "link",
"x": 1000,
"y": 0,
"width": 400,
"height": 200,
"url": "https://obsidian.md"
}
Group Nodes
Groups are visual containers for organizing other nodes. Position child nodes inside the group's bounds.
| Attribute | Required | Type | Description |
|---|---|---|---|
label |
No | string | Text label for the group |
background |
No | string | Path to background image |
backgroundStyle |
No | string | cover, ratio, or repeat |
{
"id": "d4e5f6789012345a",
"type": "group",
"x": -50,
"y": -50,
"width": 1000,
"height": 600,
"label": "Project Overview",
"color": "4"
}
Edges
Edges connect nodes via fromNode and toNode IDs.
| Attribute | Required | Type | Default | Description |
|---|---|---|---|---|
id |
Yes | string | - | Unique identifier |
fromNode |
Yes | string | - | Source node ID |
fromSide |
No | string | - | top, right, bottom, or left |
fromEnd |
No | string | none |
none or arrow |
toNode |
Yes | string | - | Target node ID |
toSide |
No | string | - | top, right, bottom, or left |
toEnd |
No | string | arrow |
none or arrow |
color |
No | canvasColor | - | Line color |
label |
No | string | - | Text label |
{
"id": "0123456789abcdef",
"fromNode": "6f0ad84f44ce9c17",
"fromSide": "right",
"toNode": "a1b2c3d4e5f67890",
"toSide": "left",
"toEnd": "arrow",
"label": "leads to"
}
Colors
The canvasColor type accepts either a hex string or a preset number:
| Preset | Color |
|---|---|
"1" |
Red |
"2" |
Orange |
"3" |
Yellow |
"4" |
Green |
"5" |
Cyan |
"6" |
Purple |
Preset color values are intentionally undefined -- applications use their own brand colors.
ID Generation
Generate 16-character lowercase hexadecimal strings (64-bit random value):
"6f0ad84f44ce9c17"
"a3b2c1d0e9f8a7b6"
Layout Guidelines
- Coordinates can be negative (canvas extends infinitely)
xincreases right,yincreases down; position is the top-left corner- Space nodes 50-100px apart; leave 20-50px padding inside groups
- Align to grid (multiples of 10 or 20) for cleaner layouts
| Node Type | Suggested Width | Suggested Height |
|---|---|---|
| Small text | 200-300 | 80-150 |
| Medium text | 300-450 | 150-300 |
| Large text | 400-600 | 300-500 |
| File preview | 300-500 | 200-400 |
| Link preview | 250-400 | 100-200 |
Validation Checklist
After creating or editing a canvas file, verify:
- All
idvalues are unique across both nodes and edges - Every
fromNodeandtoNodereferences an existing node ID - Required fields are present for each node type (
textfor text nodes,filefor file nodes,urlfor link nodes) typeis one of:text,file,link,groupfromSide/toSidevalues are one of:top,right,bottom,leftfromEnd/toEndvalues are one of:none,arrow- Color presets are
"1"through"6"or valid hex (e.g.,"#FF0000") - JSON is valid and parseable
If validation fails, check for duplicate IDs, dangling edge references, or malformed JSON strings (especially unescaped newlines in text content).
Complete Examples
See references/EXAMPLES.md for full canvas examples including mind maps, project boards, research canvases, and flowcharts.
References
How to use json-canvas on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add json-canvas
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches json-canvas from GitHub repository kepano/obsidian-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate json-canvas. Access the skill through slash commands (e.g., /json-canvas) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.8★★★★★58 reviews- ★★★★★Shikha Mishra· Dec 16, 2024
json-canvas has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Layla Okafor· Dec 16, 2024
json-canvas reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Kwame Verma· Dec 12, 2024
json-canvas is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Lucas Agarwal· Dec 12, 2024
Solid pick for teams standardizing on skills: json-canvas is focused, and the summary matches what you get after install.
- ★★★★★Dev Gupta· Dec 8, 2024
Registry listing for json-canvas matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Neel Choi· Dec 8, 2024
json-canvas has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Xiao Chawla· Nov 27, 2024
json-canvas reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Ava Robinson· Nov 15, 2024
Useful defaults in json-canvas — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Rahul Santra· Nov 7, 2024
json-canvas reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Ren Menon· Nov 7, 2024
json-canvas has been reliable in day-to-day use. Documentation quality is above average for community skills.
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