---

name: frago-view-content-generate-tips-json description: JSON file content generation guide. Use this skill when you need to create JSON files that can be previewed via frago view. Covers formatted display and best practices.

JSON File Content Generation Guide

Preview JSON files via frago view with automatic formatting and syntax highlighting.

Preview Commands

Copyfrago view data.json                      # Default theme
frago view config.json --theme monokai    # Specify theme

---

Rendering Features

Automatic Formatting

• JSON content automatically beautified (Pretty Print)
• Indentation aligned
• Key-value pairs clearly displayed

Syntax Highlighting

---

JSON Format Specification

Correct Format

Copy{
    "name": "Project Name",
    "version": "1.0.0",
    "enabled": true,
    "count": 42,
    "tags": ["tag1", "tag2"],
    "config": {
        "nested": "value"
    },
    "nullable": null
}

Common Errors

---

Best Practices

1. Indentation

• Use 2 or 4 spaces for indentation
• Maintain consistency

2. Key Naming

• Use snake_case or camelCase
• Maintain consistency throughout the file

Copy{
    "user_name": "snake_case style",
    "userName": "camelCase style"
}

3. Data Organization

• Group related fields
• Place important fields first

Copy{
    "id": "001",
    "name": "Important fields first",
    "metadata": {
        "created_at": "2024-01-01",
        "updated_at": "2024-01-02"
    }
}

4. File Size

• Single file < 1MB optimal
• Consider pagination or splitting files for large data

---

Use Cases

• API response data preview
• Configuration file viewing
• Data structure review
• Debug data inspection

---

Display Themes

Same as code files, supports the following themes:

---

Notes

---

JSON Validation

Ensure JSON is valid before preview:

Copy# Python validation
python -m json.tool data.json

# jq validation
jq . data.json

---

Related Tools

• jq: Command-line JSON processor
• jsonlint: JSON validator
• VSCode: JSON editing and formatting