
Mysql
- 498 installs
- 1 repo stars
- Updated January 5, 2026
- pluginagentmarketplace/custom-plugin-sql
mysql is a custom-plugin-sql agent skill (SASMP 1.3.0) that queries, optimizes, administers, and productionizes MySQL databases for developers who manage InnoDB-backed production data stores.
About
mysql is a pluginagentmarketplace/custom-plugin-sql agent skill at SASMP version 1.3.0 that guides AI agents through MySQL administration, query development, and production performance tuning. Coverage spans installation and configuration, user management, InnoDB and MyISAM storage engines, SELECT/JOIN workflows, stored procedures, triggers, EXPLAIN analysis, index optimization, slow query logs, and Performance Schema usage including MySQL 8.0+ query cache changes. Developers reach for mysql when debugging slow queries, hardening database access, or productionizing schemas through an agent instead of switching to a separate DBA console.
- Covers installation, user management, storage engines, and character sets
- Teaches SELECT, JOINs, subqueries, stored procedures, triggers and CRUD operations
- Includes EXPLAIN analysis, index optimization, slow query log, and Performance Schema
- Handles backups with mysqldump, binary logs, replication setup, and privilege management
- Guides high-availability patterns including Group Replication, MySQL Router, and failover
Mysql by the numbers
- 498 all-time installs (skills.sh)
- +1 installs in the week ending Aug 4, 2026 (Skillselion tracking)
- Ranked #125 of 911 Databases skills by installs in the Skillselion catalog
- Data as of Aug 4, 2026 (Skillselion catalog sync)
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| Installs | 498 |
|---|---|
| repo stars | ★ 1 |
| Last updated | January 5, 2026 |
| Repository | pluginagentmarketplace/custom-plugin-sql ↗ |
How do you optimize slow MySQL queries in production?
Query, optimize, administer, and productionize MySQL databases directly through an AI coding agent.
Who is it for?
Developers and DBAs managing production MySQL with InnoDB who want agent-guided query tuning and administration.
Skip if: PostgreSQL-only stacks or teams needing application-layer ORM modeling without direct MySQL operations.
When should I use this skill?
The user needs MySQL query optimization, EXPLAIN analysis, index design, or production database administration via an agent.
What you get
Tuned MySQL queries, index recommendations, EXPLAIN plans, and admin configuration guidance.
- Optimized SQL queries
- Index recommendations
- MySQL admin configuration notes
By the numbers
- SASMP version 1.3.0
- Covers InnoDB and MyISAM storage engines
Files
MySQL Skill
Overview
Master MySQL database administration, optimization, and development for production environments.
Topics Covered
MySQL Basics
- Installation and configuration
- User management
- Database creation
- Storage engines (InnoDB, MyISAM)
- Character sets
Query Development
- SELECT statements
- JOINs and subqueries
- INSERT, UPDATE, DELETE
- Stored procedures
- Triggers and events
Performance
- EXPLAIN analysis
- Index optimization
- Query cache (8.0+ changes)
- Slow query log
- Performance Schema
Administration
- Backup with mysqldump
- Binary log management
- Replication setup
- User privileges
- Configuration tuning
High Availability
- MySQL replication
- Group replication
- MySQL Router
- ProxySQL
- Failover strategies
Prerequisites
- SQL fundamentals
- Linux basics
- Networking concepts
Learning Outcomes
- Administer MySQL servers
- Optimize queries
- Set up replication
- Manage backups
# mysql Configuration
# Category: database
# Generated: 2025-12-30
skill:
name: mysql
version: "1.0.0"
category: database
settings:
# Default settings for mysql
enabled: true
log_level: info
# Category-specific defaults
validation:
strict_mode: false
auto_fix: false
output:
format: markdown
include_examples: true
# Environment-specific overrides
environments:
development:
log_level: debug
validation:
strict_mode: false
production:
log_level: warn
validation:
strict_mode: true
# Integration settings
integrations:
# Enable/disable integrations
git: true
linter: true
formatter: true
{
"$schema": "http://json-schema.org/draft-07/schema#",
"title": "mysql Configuration Schema",
"type": "object",
"properties": {
"skill": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"version": {
"type": "string",
"pattern": "^\\d+\\.\\d+\\.\\d+$"
},
"category": {
"type": "string",
"enum": [
"api",
"testing",
"devops",
"security",
"database",
"frontend",
"algorithms",
"machine-learning",
"cloud",
"containers",
"general"
]
}
},
"required": [
"name",
"version"
]
},
"settings": {
"type": "object",
"properties": {
"enabled": {
"type": "boolean",
"default": true
},
"log_level": {
"type": "string",
"enum": [
"debug",
"info",
"warn",
"error"
]
}
}
}
},
"required": [
"skill"
]
}Mysql Guide
Overview
This guide provides comprehensive documentation for the mysql skill in the custom-plugin-sql plugin.
Category: Database
Quick Start
Prerequisites
- Familiarity with database concepts
- Development environment set up
- Plugin installed and configured
Basic Usage
# Invoke the skill
claude "mysql - [your task description]"
# Example
claude "mysql - analyze the current implementation"Core Concepts
Key Principles
1. Consistency - Follow established patterns 2. Clarity - Write readable, maintainable code 3. Quality - Validate before deployment
Best Practices
- Always validate input data
- Handle edge cases explicitly
- Document your decisions
- Write tests for critical paths
Common Tasks
Task 1: Basic Implementation
# Example implementation pattern
def implement_mysql(input_data):
"""
Implement mysql functionality.
Args:
input_data: Input to process
Returns:
Processed result
"""
# Validate input
if not input_data:
raise ValueError("Input required")
# Process
result = process(input_data)
# Return
return resultTask 2: Advanced Usage
For advanced scenarios, consider:
- Configuration customization via
assets/config.yaml - Validation using
scripts/validate.py - Integration with other skills
Troubleshooting
Common Issues
| Issue | Cause | Solution |
|---|---|---|
| Skill not found | Not installed | Run plugin sync |
| Validation fails | Invalid config | Check config.yaml |
| Unexpected output | Missing context | Provide more details |
Related Resources
- SKILL.md - Skill specification
- config.yaml - Configuration options
- validate.py - Validation script
---
Last updated: 2025-12-30
Mysql Patterns
Design Patterns
Pattern 1: Input Validation
Always validate input before processing:
def validate_input(data):
if data is None:
raise ValueError("Data cannot be None")
if not isinstance(data, dict):
raise TypeError("Data must be a dictionary")
return TruePattern 2: Error Handling
Use consistent error handling:
try:
result = risky_operation()
except SpecificError as e:
logger.error(f"Operation failed: {e}")
handle_error(e)
except Exception as e:
logger.exception("Unexpected error")
raisePattern 3: Configuration Loading
Load and validate configuration:
import yaml
def load_config(config_path):
with open(config_path) as f:
config = yaml.safe_load(f)
validate_config(config)
return configAnti-Patterns to Avoid
❌ Don't: Swallow Exceptions
# BAD
try:
do_something()
except:
pass✅ Do: Handle Explicitly
# GOOD
try:
do_something()
except SpecificError as e:
logger.warning(f"Expected error: {e}")
return default_valueCategory-Specific Patterns: Database
Recommended Approach
1. Start with the simplest implementation 2. Add complexity only when needed 3. Test each addition 4. Document decisions
Common Integration Points
- Configuration:
assets/config.yaml - Validation:
scripts/validate.py - Documentation:
references/GUIDE.md
---
Pattern library for mysql skill
#!/usr/bin/env python3
"""
Validation script for mysql skill.
Category: database
"""
import os
import sys
import yaml
import json
from pathlib import Path
def validate_config(config_path: str) -> dict:
"""
Validate skill configuration file.
Args:
config_path: Path to config.yaml
Returns:
dict: Validation result with 'valid' and 'errors' keys
"""
errors = []
if not os.path.exists(config_path):
return {"valid": False, "errors": ["Config file not found"]}
try:
with open(config_path, 'r') as f:
config = yaml.safe_load(f)
except yaml.YAMLError as e:
return {"valid": False, "errors": [f"YAML parse error: {e}"]}
# Validate required fields
if 'skill' not in config:
errors.append("Missing 'skill' section")
else:
if 'name' not in config['skill']:
errors.append("Missing skill.name")
if 'version' not in config['skill']:
errors.append("Missing skill.version")
# Validate settings
if 'settings' in config:
settings = config['settings']
if 'log_level' in settings:
valid_levels = ['debug', 'info', 'warn', 'error']
if settings['log_level'] not in valid_levels:
errors.append(f"Invalid log_level: {settings['log_level']}")
return {
"valid": len(errors) == 0,
"errors": errors,
"config": config if not errors else None
}
def validate_skill_structure(skill_path: str) -> dict:
"""
Validate skill directory structure.
Args:
skill_path: Path to skill directory
Returns:
dict: Structure validation result
"""
required_dirs = ['assets', 'scripts', 'references']
required_files = ['SKILL.md']
errors = []
# Check required files
for file in required_files:
if not os.path.exists(os.path.join(skill_path, file)):
errors.append(f"Missing required file: {file}")
# Check required directories
for dir in required_dirs:
dir_path = os.path.join(skill_path, dir)
if not os.path.isdir(dir_path):
errors.append(f"Missing required directory: {dir}/")
else:
# Check for real content (not just .gitkeep)
files = [f for f in os.listdir(dir_path) if f != '.gitkeep']
if not files:
errors.append(f"Directory {dir}/ has no real content")
return {
"valid": len(errors) == 0,
"errors": errors,
"skill_name": os.path.basename(skill_path)
}
def main():
"""Main validation entry point."""
skill_path = Path(__file__).parent.parent
print(f"Validating mysql skill...")
print(f"Path: {skill_path}")
# Validate structure
structure_result = validate_skill_structure(str(skill_path))
print(f"\nStructure validation: {'PASS' if structure_result['valid'] else 'FAIL'}")
if structure_result['errors']:
for error in structure_result['errors']:
print(f" - {error}")
# Validate config
config_path = skill_path / 'assets' / 'config.yaml'
if config_path.exists():
config_result = validate_config(str(config_path))
print(f"\nConfig validation: {'PASS' if config_result['valid'] else 'FAIL'}")
if config_result['errors']:
for error in config_result['errors']:
print(f" - {error}")
else:
print("\nConfig validation: SKIPPED (no config.yaml)")
# Summary
all_valid = structure_result['valid']
print(f"\n==================================================")
print(f"Overall: {'VALID' if all_valid else 'INVALID'}")
return 0 if all_valid else 1
if __name__ == "__main__":
sys.exit(main())
Related skills
How it compares
Use mysql for agent-guided MySQL DBA and query tuning; pair with application ORM skills when schema design spans app and database layers.
FAQ
What MySQL topics does the mysql skill cover?
The mysql skill spans installation, user management, query development with JOINs and stored procedures, EXPLAIN analysis, index optimization, slow query logs, Performance Schema, and InnoDB versus MyISAM engines.
What SASMP version is the mysql skill?
The mysql skill declares SASMP version 1.3.0 in its manifest and is bonded as PRIMARY_BOND to the 02-postgresql-dba agent in the custom-plugin-sql marketplace package.