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api-filtering-sorting

api-filtering-sorting

github.com/aj-geddesDevelopment373447 installsUpdated 34w ago
Repository

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

  1. 01Flexible filtering and sorting
  2. 02Query parameter parsing
  3. 03Input validation and field whitelisting
  4. 04SQLAlchemy and Elasticsearch guides
  5. 05Query performance practices

Use cases

  1. 01Add filters and sorting to API endpoints
  2. 02Build search interfaces with advanced queries
  3. 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-sorting

After 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.md
elasticsearch-filtering.md
filter-builder-pattern.md
python-filtering-sqlalchemy.md
query-parameter-filtering.md
query-validation.md
scripts/
validate-schema.sh
templates/
migration-template.sql

Details

From the project README

API 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:

GuideContents
Query Parameter FilteringQuery Parameter Filtering
Advanced Filter ParserAdvanced Filter Parser
Filter Builder PatternFilter Builder Pattern
Python Filtering (SQLAlchemy)Python Filtering (SQLAlchemy)
Elasticsearch FilteringElasticsearch Filtering
Query ValidationQuery 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

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