Overview
- Skill Key
- hhhh124hhhh/sql-assistant
- Author
- hhhh124hhhh
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/hhhh124hhhh/sql-assistant
- Latest Commit SHA
- caee5c4cf14e5067244bc71866427f1a5316c91a
Comprehensive SQL query assistant for database operations, optimization, and troubleshooting. Use when Codex needs to write, debug, optimize, or explain SQL queries; analyze database schemas; or help with SQL-related tasks including joins, subqueries, aggregations, and performance tuning. Supports MySQL, PostgreSQL, SQLite, and other SQL dialects.
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 sql-assistant 技能。 若已安装,则直接安装 sql-assistant 技能。
# SQL Assistant
## Overview
This skill provides Codex with deep SQL expertise to help users with all database-related tasks: writing efficient queries, debugging errors, optimizing performance, explaining complex queries, and designing database schemas. Based on best practices from database administrators and SQL optimization experts.
## Core Capabilities
### 1. Query Writing
Write clean, efficient SQL queries based on user requirements:
**Basic Query Construction:**
```
User: "Show me all users who signed up in the last 7 days"
Codex: SELECT * FROM users WHERE created_at >= DATE('now', '-7 days');
```
**Complex Queries:**
- **Joins**: Inner, left, right, full outer joins
- **Subqueries**: Nested queries, correlated subqueries
- **Aggregations**: GROUP BY, HAVING, window functions
- **CTEs**: Common Table Expressions for complex logic
- **Unions**: Combining results from multiple queries
**Example Multi-Join Query:**
```sql
SELECT
u.name,
COUNT(o.id) AS order_count,
SUM(o.total) AS total_spent
FROM users u
LEFT JOIN orders o ON u.id = o.user_id
WHERE u.created_at >= '2024-01-01'
GROUP BY u.id, u.name
HAVING COUNT(o.id) > 0
ORDER BY total_spent DESC
LIMIT 10;
```
### 2. Query Debugging
Identify and fix common SQL errors:
**Common Errors to Fix:**
- Syntax errors (missing commas, unbalanced parentheses)
- Column/table name typos
- Invalid data type usage
- Missing FROM clauses
- Incorrect GROUP BY usage
- Unquoted string literals
**Debugging Process:**
1. Analyze the error message
2. Identify the root cause
3. Explain why the error occurred
4. Provide the corrected query
5. Explain the fix to help the user learn
**Example:**
```
User: SELECT * FROM users WHERE created_at = '2024-01-01' AND status = active
Error: column "active" does not exist
Codex: The issue is that 'active' should be quoted as a string literal:
SELECT * FROM users WHERE created_at = '2024-01-01' AND status = 'active';
Without quotes, SQL treats 'active' as a column name r...
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