sql-patterns
The sql-patterns skill provides a quick reference guide for essential SQL techniques including Common Table Expressions for organizing complex queries, window functions for analytical operations, JOIN types for data combination, pagination strategies for performance optimization, and indexing approaches for query acceleration. Use this skill when developing SQL queries, optimizing database performance, or needing syntax examples for CTEs, window functions, joins, and pagination patterns.
git clone --depth 1 https://github.com/aiskillstore/marketplace /tmp/sql-patterns && cp -r /tmp/sql-patterns/skills/0xdarkmatter/sql-patterns ~/.claude/skills/sql-patternsSKILL.md
# SQL Patterns
Quick reference for common SQL patterns.
## CTE (Common Table Expressions)
```sql
WITH active_users AS (
SELECT id, name, email
FROM users
WHERE status = 'active'
)
SELECT * FROM active_users WHERE created_at > '2024-01-01';
```
### Chained CTEs
```sql
WITH
active_users AS (
SELECT id, name FROM users WHERE status = 'active'
),
user_orders AS (
SELECT user_id, COUNT(*) as order_count
FROM orders GROUP BY user_id
)
SELECT u.name, COALESCE(o.order_count, 0) as orders
FROM active_users u
LEFT JOIN user_orders o ON u.id = o.user_id;
```
## Window Functions (Quick Reference)
| Function | Use |
|----------|-----|
| `ROW_NUMBER()` | Unique sequential numbering |
| `RANK()` | Rank with gaps (1, 2, 2, 4) |
| `DENSE_RANK()` | Rank without gaps (1, 2, 2, 3) |
| `LAG(col, n)` | Previous row value |
| `LEAD(col, n)` | Next row value |
| `SUM() OVER` | Running total |
| `AVG() OVER` | Moving average |
```sql
SELECT
date,
revenue,
LAG(revenue, 1) OVER (ORDER BY date) as prev_day,
SUM(revenue) OVER (ORDER BY date) as running_total
FROM daily_sales;
```
## JOIN Reference
| Type | Returns |
|------|---------|
| `INNER JOIN` | Only matching rows |
| `LEFT JOIN` | All left + matching right |
| `RIGHT JOIN` | All right + matching left |
| `FULL JOIN` | All rows, NULL where no match |
## Pagination
```sql
-- OFFSET/LIMIT (simple, slow for large offsets)
SELECT * FROM products ORDER BY id LIMIT 20 OFFSET 40;
-- Keyset (fast, scalable)
SELECT * FROM products WHERE id > 42 ORDER BY id LIMIT 20;
```
## Index Quick Reference
| Index Type | Best For |
|------------|----------|
| B-tree | Range queries, ORDER BY |
| Hash | Exact equality only |
| GIN | Arrays, JSONB, full-text |
| Covering | Avoid table lookup |
## Anti-Patterns
| Mistake | Fix |
|---------|-----|
| `SELECT *` | List columns explicitly |
| `WHERE YEAR(date) = 2024` | `WHERE date >= '2024-01-01'` |
| `NOT IN` with NULLs | Use `NOT EXISTS` |
| N+1 queries | Use JOIN or batch |
## Additional Resources
For detailed patterns, load:
- `./references/window-functions.md` - Complete window function patterns
- `./references/indexing-strategies.md` - Index types, covering indexes, optimizationLet Codex use Google Antigravity CLI (agy) for repository exploration, bounded feature work, and project-scale implementation. Use when a Codex task benefits from delegated repository work while Codex retains diff review, verification, repair, and delivery assurance.
Use when replying. Refresh current date and time.
Create polished, validated architecture, workflow, sequence, data-flow, and lifecycle/state diagrams as explorable standalone HTML with inline SVG, dark/light themes, optional trace motion, and PNG/JPEG/WebP/SVG/WebM export. Accept plain-language requirements or pasted Mermaid flowchart, sequenceDiagram, and stateDiagram input; inspect repository evidence when the diagram must reflect real code. Use when the user asks to visualize system architecture, infrastructure, cloud/security/network topology, technical workflows, API call sequences, request lifecycles, data pipelines, ETL/ELT, data lineage, state machines, or to convert/beautify Mermaid.
Design systems, plan implementations, review architecture decisions - Use when you need to plan a complex feature, design system architecture, or make high-level technical decisions.
Use when automating iOS Simulator interactions, capturing screenshots/video, or inspecting accessibility via AXe CLI.
Use when working with Canton Network participants, DAML smart contracts, Splice applications, or debugging LF version and package ID issues.
>
HSK4級レベルから流暢さを目指す学習者向け。中国語表現の使用場面・自然さを分析し、作文を「ネイティブらしい流暢な表現」に改善。bilibili等のコンテンツ理解とネイティブとの会話をサポート。実際の用例をWeb検索で提示