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sql-assistant

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.

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Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install hhhh124hhhh/sql-assistant

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

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Skill instructions

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:

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...

Source information

Source
github
Repository
openclaw/skills
Path
skills/hhhh124hhhh/sql-assistant
Version
—
Commit
caee5c4cf14e5067244bc71866427f1a5316c91a
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# 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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