Json Canvas

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by davila7 · vlatest · Repository

Generates interactive JSON canvas visualizations from data, enabling dynamic exploration and manipulation within a frontend application.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add davila7-json-canvas npx -- -y @trustedskills/davila7-json-canvas
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "davila7-json-canvas": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/davila7-json-canvas"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This skill provides a visual interface for inspecting and manipulating JSON data structures within AI agent workflows. It allows agents to render complex nested objects into an interactive canvas, making data exploration and debugging significantly more intuitive than raw text output.

When to use it

  • You need to visualize deeply nested API responses or configuration files to understand their structure quickly.
  • An agent is generating JSON that requires immediate validation against a schema before proceeding with further logic.
  • You want to transform or filter specific keys within a large dataset without writing manual parsing scripts.

Key capabilities

  • Renders raw JSON input into an interactive, collapsible visual tree.
  • Supports real-time inspection of data types and values within the structure.
  • Enables agents to navigate complex hierarchies effortlessly during execution.

Example prompts

  • "Parse this API response and display the user profile section on a JSON canvas."
  • "Validate the incoming configuration object against our schema using the visualizer."
  • "Extract all error codes from this log file's JSON structure and highlight them."

Tips & gotchas

Ensure your input is strictly valid JSON to prevent rendering errors in the canvas. For extremely large datasets, consider summarizing or filtering the data before passing it to the skill to maintain performance.

Tags

🛡️

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Details

Version
vlatest
License
Author
davila7
Installs
188

🌐 Community

Passed automated security scans.