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Json Canvas

CommunityPopular
kepano
json-canvas

Create and edit JSON Canvas files (.canvas) with nodes, edges, groups, and connections. Use when working with .canvas files, creating visual canvases, mind maps, flowcharts, or when the user mentions Canvas files in Obsidian.

Overview

Publisherkepano
Repositoryobsidian-skills
Skill namejson-canvas
Stars
48.5K
Forks
3.5K
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by kepano on GitHub. Read the source before you install it.

Installation

Install the Json Canvas AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/kepano/obsidian-skills.git /tmp/obsidian-skills
mkdir -p .claude/skills
cp -r /tmp/obsidian-skills/skills/json-canvas .claude/skills/json-canvas
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Json Canvas in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Json Canvas on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Json Canvas is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

JSON Canvas Skill

File Structure

A canvas file (.canvas) contains two top-level arrays following the JSON Canvas Spec 1.0:

json
{
  "nodes": [],
  "edges": []
}
  • nodes (optional): Array of node objects
  • edges (optional): Array of edge objects connecting nodes

Common Workflows

1. Create a New Canvas

  1. Create a .canvas file with the base structure {"nodes": [], "edges": []}
  2. Generate unique 16-character hex IDs for each node (e.g., "6f0ad84f44ce9c17")
  3. Add nodes with required fields: id, type, x, y, width, height
  4. Add edges referencing valid node IDs via fromNode and toNode
  5. Validate: Parse the JSON to confirm it is valid. Verify all fromNode/toNode values exist in the nodes array

2. Add a Node to an Existing Canvas

  1. Read and parse the existing .canvas file
  2. Generate a unique ID that does not collide with existing node or edge IDs
  3. Choose position (x, y) that avoids overlapping existing nodes (leave 50-100px spacing)
  4. Append the new node object to the nodes array
  5. Optionally add edges connecting the new node to existing nodes
  6. Validate: Confirm all IDs are unique and all edge references resolve to existing nodes

3. Connect Two Nodes

  1. Identify the source and target node IDs
  2. Generate a unique edge ID
  3. Set fromNode and toNode to the source and target IDs
  4. Optionally set fromSide/toSide (top, right, bottom, left) for anchor points
  5. Optionally set label for descriptive text on the edge
  6. Append the edge to the edges array
  7. Validate: Confirm both fromNode and toNode reference existing node IDs

4. Edit an Existing Canvas

  1. Read and parse the .canvas file as JSON
  2. Locate the target node or edge by id
  3. Modify the desired attributes (text, position, color, etc.)
  4. Write the updated JSON back to the file
  5. 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

AttributeRequiredTypeDescription
idYesstringUnique 16-char hex identifier
typeYesstringtext, file, link, or group
xYesintegerX position in pixels
yYesintegerY position in pixels
widthYesintegerWidth in pixels
heightYesintegerHeight in pixels
colorNocanvasColorPreset "1"-"6" or hex (e.g., "#FF0000")

Text Nodes

AttributeRequiredTypeDescription
textYesstringPlain text with Markdown syntax
json
{
  "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

AttributeRequiredTypeDescription
fileYesstringPath to file within the system
subpathNostringLink to heading or block (starts with #)
json
{
  "id": "a1b2c3d4e5f67890",
  "type": "file",
  "x": 500,
  "y": 0,
  "width": 400,
  "height": 300,
  "file": "Attachments/diagram.png"
}

Link Nodes

AttributeRequiredTypeDescription
urlYesstringExternal URL
json
{
  "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.

AttributeRequiredTypeDescription
labelNostringText label for the group
backgroundNostringPath to background image
backgroundStyleNostringcover, ratio, or repeat
json
{
  "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.

AttributeRequiredTypeDefaultDescription
idYesstring-Unique identifier
fromNodeYesstring-Source node ID
fromSideNostring-top, right, bottom, or left
fromEndNostringnonenone or arrow
toNodeYesstring-Target node ID
toSideNostring-top, right, bottom, or left
toEndNostringarrownone or arrow
colorNocanvasColor-Line color
labelNostring-Text label
json
{
  "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:

PresetColor
"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)
  • x increases right, y increases 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 TypeSuggested WidthSuggested Height
Small text200-30080-150
Medium text300-450150-300
Large text400-600300-500
File preview300-500200-400
Link preview250-400100-200

Validation Checklist

After creating or editing a canvas file, verify:

  1. All id values are unique across both nodes and edges
  2. Every fromNode and toNode references an existing node ID
  3. Required fields are present for each node type (text for text nodes, file for file nodes, url for link nodes)
  4. type is one of: text, file, link, group
  5. fromSide/toSide values are one of: top, right, bottom, left
  6. fromEnd/toEnd values are one of: none, arrow
  7. Color presets are "1" through "6" or valid hex (e.g., "#FF0000")
  8. 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

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Json Canvas AI skill do?

Create and edit JSON Canvas files (.canvas) with nodes, edges, groups, and connections. Use when working with .canvas files, creating visual canvases, mind maps, flowcharts, or when the user mentions Canvas files in Obsidian.

Why use Json Canvas on TypingMind?

Because you install it once and use it with any model. Json Canvas is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Json Canvas in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kepano/obsidian-skills/tree/main/skills/json-canvas. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Json Canvas?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Json Canvas?

As many as you like. As long as a model supports skills, you can use Json Canvas with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Json Canvas AI skill free?

Yes. It is published on GitHub by kepano under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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