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Mysql

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BagelHole
mysql

Administer MySQL/MariaDB databases. Configure replication and optimize performance. Use when managing MySQL deployments.

Overview

PublisherBagelHole
RepositoryDevOps-Security-Agent-Skills
Skill namemysql
Stars
1.1K
Forks
161
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by BagelHole on GitHub. Read the source before you install it.

Installation

Install the Mysql AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/BagelHole/DevOps-Security-Agent-Skills/tree/main/infrastructure/databases/mysql
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/BagelHole/DevOps-Security-Agent-Skills.git /tmp/DevOps-Security-Agent-Skills
mkdir -p .claude/skills
cp -r /tmp/DevOps-Security-Agent-Skills/infrastructure/databases/mysql .claude/skills/mysql
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mysql in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Mysql on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Mysql is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

MySQL / MariaDB

Administer, optimize, and secure MySQL and MariaDB databases in development and production environments.

When to Use

  • You need a mature, widely supported relational database.
  • Your stack depends on MySQL-specific features or compatibility (WordPress, Magento, many PHP frameworks).
  • You are setting up source-replica replication for read scaling.
  • You want to tune InnoDB for high-throughput transactional workloads.

Prerequisites

  • Linux server (Debian/Ubuntu or RHEL-based) or Docker.
  • Root or sudo access for package installation.
  • Familiarity with SQL fundamentals.

Installation and Setup

bash
# Debian / Ubuntu — MySQL 8
sudo apt update
sudo apt install -y mysql-server

# RHEL / Amazon Linux
sudo dnf install -y mysql-server
sudo systemctl enable --now mysqld

# Run the secure installation wizard
sudo mysql_secure_installation
# Prompts: set root password, remove anonymous users, disable remote root, remove test db

# Verify
mysql --version
sudo systemctl status mysql

Initial User and Database Setup

bash
sudo mysql -u root -p
sql
-- Create a database
CREATE DATABASE mydb CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci;

-- Create an application user with strong auth
CREATE USER 'myapp'@'%' IDENTIFIED BY 'strong_password_here';
GRANT SELECT, INSERT, UPDATE, DELETE ON mydb.* TO 'myapp'@'%';
FLUSH PRIVILEGES;

-- Verify
SHOW GRANTS FOR 'myapp'@'%';

mysql CLI Reference

bash
# Connect
mysql -u myapp -p -h 127.0.0.1 mydb

# Execute a single statement
mysql -u myapp -p -e "SELECT COUNT(*) FROM orders;" mydb

# Import a SQL file
mysql -u myapp -p mydb < schema.sql

# Export query results to CSV
mysql -u myapp -p -e "SELECT * FROM users" mydb \
  | tr '\t' ',' > users.csv
-- Inside the mysql shell
SHOW DATABASES;
USE mydb;
SHOW TABLES;
DESCRIBE users;
SHOW CREATE TABLE users\G
SHOW PROCESSLIST;
SHOW ENGINE INNODB STATUS\G

Configuration Tuning

Edit /etc/mysql/mysql.conf.d/mysqld.cnf (or /etc/my.cnf on RHEL).

ini
[mysqld]
# -- Networking --
bind-address           = 0.0.0.0
max_connections        = 300
wait_timeout           = 600
interactive_timeout    = 600

# -- InnoDB (most impactful settings) --
innodb_buffer_pool_size   = 4G          # ~70% of RAM on a dedicated server
innodb_buffer_pool_instances = 4        # 1 per GB of pool (up to 64)
innodb_log_file_size      = 1G
innodb_flush_log_at_trx_commit = 1      # 1 = ACID; 2 = faster, slight risk
innodb_flush_method       = O_DIRECT    # avoids double buffering on Linux
innodb_io_capacity        = 2000        # raise for SSD
innodb_io_capacity_max    = 4000

# -- Query cache (disabled in MySQL 8, use ProxySQL or app cache) --
# query_cache_type = 0

# -- Logging --
slow_query_log         = 1
slow_query_log_file    = /var/log/mysql/slow.log
long_query_time        = 1
log_error              = /var/log/mysql/error.log

# -- Binary log (required for replication) --
server-id              = 1
log_bin                = /var/log/mysql/mysql-bin
binlog_expire_logs_seconds = 604800     # 7 days
sync_binlog            = 1

# -- Character set --
character-set-server   = utf8mb4
collation-server       = utf8mb4_unicode_ci
bash
# Apply changes
sudo systemctl restart mysql

# Verify a setting at runtime
mysql -u root -p -e "SHOW VARIABLES LIKE 'innodb_buffer_pool_size';"

Backup and Restore

Logical Backups with mysqldump

bash
# Single database
mysqldump -u root -p --single-transaction --routines --triggers \
  mydb > /backups/mydb_$(date +%F).sql

# All databases
mysqldump -u root -p --all-databases --single-transaction \
  > /backups/all_$(date +%F).sql

# Compressed backup
mysqldump -u root -p --single-transaction mydb \
  | gzip > /backups/mydb_$(date +%F).sql.gz

# Restore
mysql -u root -p mydb < /backups/mydb_2025-01-15.sql

# Restore compressed
gunzip < /backups/mydb_2025-01-15.sql.gz | mysql -u root -p mydb

Physical Backups with Percona XtraBackup

bash
# Install
sudo apt install -y percona-xtrabackup-80

# Full backup
xtrabackup --backup --user=root --password=secret \
  --target-dir=/backups/full_$(date +%F)

# Prepare the backup (apply redo logs)
xtrabackup --prepare --target-dir=/backups/full_2025-01-15

# Restore (stop MySQL first)
sudo systemctl stop mysql
sudo rm -rf /var/lib/mysql/*
xtrabackup --move-back --target-dir=/backups/full_2025-01-15
sudo chown -R mysql:mysql /var/lib/mysql
sudo systemctl start mysql

Incremental Backup with XtraBackup

bash
# Incremental based on the full backup
xtrabackup --backup --user=root --password=secret \
  --target-dir=/backups/inc_$(date +%F) \
  --incremental-basedir=/backups/full_2025-01-15

# Prepare: apply full, then incremental
xtrabackup --prepare --apply-log-only --target-dir=/backups/full_2025-01-15
xtrabackup --prepare --target-dir=/backups/full_2025-01-15 \
  --incremental-dir=/backups/inc_2025-01-16

Source-Replica Replication

Source (Primary)

ini
# /etc/mysql/mysql.conf.d/mysqld.cnf
[mysqld]
server-id       = 1
log_bin         = /var/log/mysql/mysql-bin
binlog_format   = ROW
sql
-- Create replication user
CREATE USER 'replicator'@'10.0.0.%' IDENTIFIED BY 'repl_secret';
GRANT REPLICATION SLAVE ON *.* TO 'replicator'@'10.0.0.%';
FLUSH PRIVILEGES;

-- Get current binary log position
SHOW MASTER STATUS\G

Replica

ini
# /etc/mysql/mysql.conf.d/mysqld.cnf
[mysqld]
server-id  = 2
relay_log  = /var/log/mysql/relay-bin
read_only  = ON
sql
-- Point replica to source (use SHOW MASTER STATUS values)
CHANGE REPLICATION SOURCE TO
  SOURCE_HOST     = '10.0.0.1',
  SOURCE_USER     = 'replicator',
  SOURCE_PASSWORD = 'repl_secret',
  SOURCE_LOG_FILE = 'mysql-bin.000003',
  SOURCE_LOG_POS  = 154;

START REPLICA;

-- Verify
SHOW REPLICA STATUS\G
-- Check: Replica_IO_Running = Yes, Replica_SQL_Running = Yes, Seconds_Behind_Source = 0

Monitoring Queries

sql
-- Connection statistics
SHOW STATUS LIKE 'Threads_connected';
SHOW STATUS LIKE 'Max_used_connections';

-- InnoDB buffer pool hit ratio (should be > 99%)
SELECT
  ROUND(100 - (
    (SELECT VARIABLE_VALUE FROM performance_schema.global_status WHERE VARIABLE_NAME = 'Innodb_buffer_pool_reads') /
    (SELECT VARIABLE_VALUE FROM performance_schema.global_status WHERE VARIABLE_NAME = 'Innodb_buffer_pool_read_requests')
  ) * 100, 2) AS buffer_pool_hit_pct;

-- Top 10 slow queries (requires performance_schema)
SELECT DIGEST_TEXT, COUNT_STAR, AVG_TIMER_WAIT / 1e12 AS avg_sec
FROM performance_schema.events_statements_summary_by_digest
ORDER BY AVG_TIMER_WAIT DESC
LIMIT 10;

-- Table sizes
SELECT table_name,
       ROUND(data_length / 1024 / 1024, 2) AS data_mb,
       ROUND(index_length / 1024 / 1024, 2) AS index_mb,
       table_rows
FROM information_schema.tables
WHERE table_schema = 'mydb'
ORDER BY data_length DESC;

-- Check replication lag
SHOW REPLICA STATUS\G
-- Look at Seconds_Behind_Source

Docker Compose Setup

yaml
# docker-compose.yml
version: "3.9"

services:
  mysql:
    image: mysql:8.0
    restart: unless-stopped
    ports:
      - "3306:3306"
    environment:
      MYSQL_ROOT_PASSWORD: rootpass
      MYSQL_DATABASE: mydb
      MYSQL_USER: myapp
      MYSQL_PASSWORD: secret
    volumes:
      - mysql_data:/var/lib/mysql
      - ./init.sql:/docker-entrypoint-initdb.d/init.sql
    command: >
      --innodb-buffer-pool-size=512M
      --max-connections=200
      --slow-query-log=ON
      --long-query-time=1
      --character-set-server=utf8mb4
      --collation-server=utf8mb4_unicode_ci
    healthcheck:
      test: ["CMD", "mysqladmin", "ping", "-h", "localhost", "-u", "root", "-prootpass"]
      interval: 10s
      timeout: 5s
      retries: 5

  phpmyadmin:
    image: phpmyadmin:latest
    restart: unless-stopped
    ports:
      - "8080:80"
    environment:
      PMA_HOST: mysql
      PMA_USER: root
      PMA_PASSWORD: rootpass
    depends_on:
      mysql:
        condition: service_healthy

volumes:
  mysql_data:
bash
docker compose up -d
mysql -h 127.0.0.1 -u myapp -psecret mydb

Maintenance Tasks

bash
# Optimize a fragmented table (locks the table briefly)
mysql -u root -p -e "OPTIMIZE TABLE mydb.orders;"

# Analyze tables to update statistics
mysql -u root -p -e "ANALYZE TABLE mydb.orders;"

# Check and repair a table
mysql -u root -p -e "CHECK TABLE mydb.orders;"
mysql -u root -p -e "REPAIR TABLE mydb.orders;"

# Rotate slow query log
sudo mv /var/log/mysql/slow.log /var/log/mysql/slow.log.old
mysqladmin -u root -p flush-logs

Troubleshooting

SymptomLikely CauseFix
Too many connectionsConnection limit exceededIncrease max_connections; use connection pooling (ProxySQL)
Slow queries across the boardinnodb_buffer_pool_size too smallSet to ~70% of available RAM and restart
Replication stopped (SQL_Running: No)Duplicate key or schema mismatch on replicaCheck SHOW REPLICA STATUS\G error; skip or fix the row
Table is fullDisk space exhausted or table limit hitFree disk space; check innodb_data_file_path autoextend
Lock wait timeout exceededLong-running transaction holding row locksIdentify with SHOW ENGINE INNODB STATUS; kill the blocking query
High IOPS / disk usageRedo log too small causing frequent flushesIncrease innodb_log_file_size (requires restart)

Related Skills

Frequently asked questions

What does the Mysql AI skill do?

Administer MySQL/MariaDB databases. Configure replication and optimize performance. Use when managing MySQL deployments.

Why use Mysql on TypingMind?

Because you install it once and use it with any model. Mysql is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Mysql in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/BagelHole/DevOps-Security-Agent-Skills/tree/main/infrastructure/databases/mysql. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Mysql?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Mysql?

As many as you like. As long as a model supports skills, you can use Mysql with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Mysql AI skill free?

Yes. It is published on GitHub by BagelHole under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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