json-validator
Validate, format, and fix JSON data. Use this skill when working with JSON files, API responses, or configuration files that need validation or formatting.
Best use case
json-validator is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Validate, format, and fix JSON data. Use this skill when working with JSON files, API responses, or configuration files that need validation or formatting.
Teams using json-validator should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/json-validator/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How json-validator Compares
| Feature / Agent | json-validator | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Validate, format, and fix JSON data. Use this skill when working with JSON files, API responses, or configuration files that need validation or formatting.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# JSON Validator
Validate, format, and fix JSON data with helpful error messages and suggestions.
## When to Use This Skill
Use this skill when you need to:
- Validate JSON syntax and structure
- Format/prettify JSON data
- Fix common JSON errors
- Convert between JSON and other formats
- Analyze JSON structure
## Validation
When validating JSON:
1. **Check syntax**: Identify syntax errors with line numbers
2. **Provide context**: Show the problematic section
3. **Suggest fixes**: Offer specific corrections
4. **Explain issues**: Describe what's wrong and why
### Common JSON Errors to Check
- Missing or extra commas
- Unclosed brackets/braces
- Unquoted keys
- Trailing commas (invalid in strict JSON)
- Single quotes instead of double quotes
- Comments (not allowed in JSON)
- Undefined/NaN/Infinity values
### Example Validation Output
```
❌ JSON Validation Failed
Line 5: Trailing comma after last object property
"name": "example",
"value": 123, ← Remove this comma
}
✅ Suggested fix:
{
"name": "example",
"value": 123
}
```
## Formatting
When formatting JSON:
1. **Use 2-space indentation** (standard)
2. **Sort keys alphabetically** (optional, ask user)
3. **Remove unnecessary whitespace**
4. **Ensure consistent structure**
### Example
**Input (minified):**
```json
{"name":"test","items":[1,2,3],"active":true}
```
**Output (formatted):**
```json
{
"name": "test",
"items": [
1,
2,
3
],
"active": true
}
```
## Fixing Common Issues
### Trailing Commas
```json
// ❌ Invalid
{
"key": "value",
}
// ✅ Fixed
{
"key": "value"
}
```
### Single Quotes
```json
// ❌ Invalid
{'key': 'value'}
// ✅ Fixed
{"key": "value"}
```
### Unquoted Keys
```json
// ❌ Invalid
{key: "value"}
// ✅ Fixed
{"key": "value"}
```
### Comments
```json
// ❌ Invalid
{
// This is a comment
"key": "value"
}
// ✅ Fixed
{
"key": "value"
}
```
## Conversion
When converting to/from JSON:
### From JSON to other formats
- **YAML**: Preserve structure, use proper indentation
- **TOML**: Handle nested objects appropriately
- **CSV**: Flatten structure if needed, handle arrays
- **XML**: Choose appropriate tag names
### To JSON from other formats
- Ensure proper escaping
- Validate the result
- Maintain data types (strings, numbers, booleans, null)
## Analysis
When analyzing JSON structure:
1. **Report schema**:
- Top-level type (object/array)
- Key names and types
- Nesting depth
- Array sizes
2. **Identify patterns**:
- Repeated structures
- Optional fields
- Data types used
3. **Suggest improvements**:
- Inconsistent naming
- Deep nesting issues
- Large array optimization
### Example Analysis
```
JSON Structure Analysis:
Type: Object
Keys: 3 (name, items, metadata)
Schema:
{
"name": string,
"items": array[3] of numbers,
"metadata": {
"created": string,
"updated": string
}
}
Depth: 2 levels
Total size: ~150 bytes
```
## Best Practices
1. **Always validate before formatting** - Don't format invalid JSON
2. **Show clear error messages** - Include line numbers and context
3. **Preserve data types** - Don't convert numbers to strings unnecessarily
4. **Handle edge cases** - Empty objects, null values, Unicode characters
5. **Ask before major changes** - e.g., sorting keys, removing comments
## Examples
### Example 1: Validate and Fix
**User request:**
"Validate this JSON and fix any errors"
**Response:**
```
Found 2 issues:
1. Line 3: Trailing comma after "name"
2. Line 5: Single quotes instead of double quotes
Here's the corrected JSON:
{
"name": "example",
"data": {
"value": 42
}
}
```
### Example 2: Format
**User request:**
"Format this JSON nicely"
**Response:**
```json
{
"users": [
{
"id": 1,
"name": "Alice"
},
{
"id": 2,
"name": "Bob"
}
],
"total": 2
}
```
### Example 3: Convert to YAML
**User request:**
"Convert this JSON to YAML"
**Response:**
```yaml
users:
- id: 1
name: Alice
- id: 2
name: Bob
total: 2
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