chriskacerguis/dotfiles/api-pagination

Claude Code and agent skill by chriskacerguis/dotfiles

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Implement efficient pagination strategies for large datasets using offset/limit, cursor-based, and keyset pagination. Use when returning collections, managing large result sets, or optimizing query performance.

Install

npx vskill@latest install chriskacerguis/dotfiles/api-pagination

SKILL.md

API Pagination

Table of Contents

Overview

Implement scalable pagination strategies for handling large datasets with efficient querying, navigation, and performance optimization.

When to Use

  • Returning large collections of resources
  • Implementing search results pagination
  • Building infinite scroll interfaces
  • Optimizing large dataset queries
  • Managing memory in client applications
  • Improving API response times

Quick Start

Minimal working example:

javascript
// Node.js offset/limit implementation
app.get('/api/users', async (req, res) => {
const page = parseInt(req.query.page) || 1;
const limit = Math.min(parseInt(req.query.limit) || 20, 100); // Max 100
const offset = (page - 1) * limit;
try {
const [users, total] = await Promise.all([
User.find()
.skip(offset)
.limit(limit)
.select('id email firstName lastName createdAt'),
User.countDocuments()
]);
const totalPages = Math.ceil(total / limit);
res.json({
data: users,
pagination: {
page,
limit,
total,
totalPages,
hasNext: page < totalPages,
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

GuideContents
Offset/Limit PaginationOffset/Limit Pagination
Cursor-Based PaginationCursor-Based Pagination
Keyset PaginationKeyset Pagination
Search PaginationSearch Pagination
Pagination Response FormatsPagination Response Formats
Python Pagination (SQLAlchemy)Python Pagination (SQLAlchemy)

Best Practices

✅ DO
  • Use cursor pagination for large datasets
  • Set reasonable maximum limits (e.g., 100)
  • Include total count when feasible
  • Provide navigation links
  • Document pagination strategy
  • Use indexed fields for sorting
  • Cache pagination results when appropriate
  • Handle edge cases (empty results)
  • Implement consistent pagination formats
  • Use keyset for extremely large datasets
❌ DON'T
  • Use offset with billions of rows
  • Allow unlimited page sizes
  • Count rows for every request
  • Paginate without sorting
  • Change sort order mid-pagination
  • Use deep pagination without cursor
  • Skip pagination for large datasets
  • Expose database pagination directly
  • Mix pagination strategies
  • Ignore performance implications

Security

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  • Model reviewPassed

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