Rechercher

PythonReactSEOPDF
OpenClaw

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.

hhhh124hhhh0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install hhhh124hhhh/sql-assistant

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

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...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/hhhh124hhhh/sql-assistant
Version
—
Commit
caee5c4cf14e5067244bc71866427f1a5316c91a
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

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...

Skills associés

OpenClaw

1password

daggerkun007

Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.