Test Json Sql Filter
Helps with testing, JSON as part of working with databases and data persistence workflows.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add test-json-sql-filter npx -- -y @trustedskills/test-json-sql-filter
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"test-json-sql-filter": {
"command": "npx",
"args": [
"-y",
"@trustedskills/test-json-sql-filter"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill allows you to filter SQL query results based on JSON data. It can extract values from JSON documents and use them as criteria for filtering database records, enabling dynamic querying based on structured data. The tool supports complex JSON structures and various comparison operators within the SQL filters.
When to use it
- Personalized Recommendations: Filter product listings based on user preferences stored in a JSON profile.
- Dynamic Reporting: Generate reports where filter criteria are derived from a configuration file in JSON format.
- Data Enrichment: Combine data from different sources, one in SQL and another in JSON, to create enriched datasets for analysis.
- Conditional Logic: Implement business rules that require filtering data based on complex conditions defined within a JSON structure.
Key capabilities
- JSON parsing and value extraction
- SQL query construction with dynamic filters
- Support for various comparison operators (e.g., equals, greater than, less than)
- Handles nested JSON structures
Example prompts
- "Filter the 'customers' table where the 'preferences' JSON field has a 'theme' value of 'dark'."
- "Get all products from the 'products' table where the 'attributes' JSON contains a 'color' key with a value of 'red'."
- "Show me orders from the last week, filtering by the 'shipping_address' JSON to only include addresses in California."
Tips & gotchas
The skill requires familiarity with both SQL and JSON syntax. Ensure that the JSON data conforms to the expected structure for accurate filtering; otherwise, unexpected results may occur.
Tags
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| Snyk | Pass |
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