Implement scalable pagination strategies for handling large datasets with efficient querying, navigation, and performance optimization.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionapi-paginationExecute the skills CLI command in your project's root directory to begin installation:
Fetches api-pagination from aj-geddes/useful-ai-prompts and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate api-pagination. Access via /api-pagination in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Improve work quality by 30-40% with less effort
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Implement scalable pagination strategies for handling large datasets with efficient querying, navigation, and performance optimization.
Minimal working example:
// 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)
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| Offset/Limit Pagination | Offset/Limit Pagination |
| Cursor-Based Pagination | Cursor-Based Pagination |
| Keyset Pagination | Keyset Pagination |
| Search Pagination | Search Pagination |
| Pagination Response Formats | Pagination Response Formats |
| Python Pagination (SQLAlchemy) | Python Pagination (SQLAlchemy) |
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
aj-geddes/useful-ai-prompts
jwynia/agent-skills
mindrally/skills
github/awesome-copilot
kostja94/marketing-skills
wispbit-ai/skills
Useful defaults in api-pagination — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Useful defaults in api-pagination — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
api-pagination is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
api-pagination is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: api-pagination is focused, and the summary matches what you get after install.
api-pagination has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: api-pagination is the kind of skill you can hand to a new teammate without a long onboarding doc.
Keeps context tight: api-pagination is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added api-pagination from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
api-pagination fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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