About api-filtering-sorting
A skill for building flexible API filtering and sorting, with guidance on query validation, security, and performance. It suits developers creating search interfaces and data retrieval endpoints with complex query needs.
Key features
- 01Flexible filtering and sorting
- 02Query parameter parsing
- 03Input validation and field whitelisting
- 04SQLAlchemy and Elasticsearch guides
- 05Query performance practices
Use cases
- 01Add filters and sorting to API endpoints
- 02Build search interfaces with advanced queries
- 03Validate user-supplied query parameters
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ aj-geddes/ useful-ai-prompts --skill api-filtering-sortingAfter installing, type/api-filtering-sortingin Claude Code to confirm it loaded.
Bundled files
References and scripts installed along with SKILL.md.
references/advanced-filter-parser.mdelasticsearch-filtering.mdfilter-builder-pattern.mdpython-filtering-sqlalchemy.mdquery-parameter-filtering.mdquery-validation.mdscripts/validate-schema.shtemplates/migration-template.sqlDetails
From the project READMEAPI Filtering & Sorting
Table of Contents
Overview
Build flexible filtering and sorting systems that handle complex queries efficiently with proper validation, security, and performance optimization.
When to Use
- Building search and filter interfaces
- Implementing advanced query capabilities
- Creating flexible data retrieval endpoints
- Optimizing query performance
- Validating user input for queries
- Supporting complex filtering logic
Quick Start
Minimal working example:
// Node.js filtering implementation
app.get("/api/products", async (req, res) => {
const filters = {};
const sortOptions = {};
// Parse filtering parameters
const allowedFilters = [
"category",
"minPrice",
"maxPrice",
"inStock",
"rating",
];
for (const key of allowedFilters) {
if (req.query[key]) {
filters[key] = req.query[key];
}
}
// Build MongoDB query
const mongoQuery = {};
if (filters.category) {
mongoQuery.category = filters.category;
}
// ... (see reference guides for full implementation)
Reference Guides
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| Query Parameter Filtering | Query Parameter Filtering |
| Advanced Filter Parser | Advanced Filter Parser |
| Filter Builder Pattern | Filter Builder Pattern |
| Python Filtering (SQLAlchemy) | Python Filtering (SQLAlchemy) |
| Elasticsearch Filtering | Elasticsearch Filtering |
| Query Validation | Query Validation |
Best Practices
✅ DO
- Whitelist allowed filter fields
- Validate all input parameters
- Index fields used for filtering
- Support common operators
- Provide faceted navigation
- Cache filter options
- Limit filter complexity
- Document filter syntax
- Use database-native operators
- Optimize queries with indexes
❌ DON'T
- Allow arbitrary field filtering
- Support unlimited operators
- Ignore SQL injection risks
- Create complex filter logic
- Expose internal field names
- Filter on unindexed fields
- Allow deeply nested filters
- Skip input validation
- Combine all filters with OR
- Ignore performance impact
Comments
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