mysql

Plan and review MySQL/InnoDB schema, indexing, query tuning, transactions, and operations. Use when creating or modifying MySQL tables, indexes, or queries; diagnosing slow/locking behavior; planning migrations; or troubleshooting replication and connection issues. Load when using a MySQL database.

15 stars

Best use case

mysql is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Plan and review MySQL/InnoDB schema, indexing, query tuning, transactions, and operations. Use when creating or modifying MySQL tables, indexes, or queries; diagnosing slow/locking behavior; planning migrations; or troubleshooting replication and connection issues. Load when using a MySQL database.

Teams using mysql should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/mysql/SKILL.md --create-dirs "https://raw.githubusercontent.com/sushichan044/dotfiles/main/.agents/skills/mysql/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/mysql/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How mysql Compares

Feature / AgentmysqlStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Plan and review MySQL/InnoDB schema, indexing, query tuning, transactions, and operations. Use when creating or modifying MySQL tables, indexes, or queries; diagnosing slow/locking behavior; planning migrations; or troubleshooting replication and connection issues. Load when using a MySQL database.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# MySQL

Use this skill to make safe, measurable MySQL/InnoDB changes.

## Workflow

1. Define workload and constraints (read/write mix, latency target, data volume, MySQL version, hosting platform).
2. Read only the relevant reference files linked in each section below.
3. Propose the smallest change that can solve the problem, including trade-offs.
4. Validate with evidence (`EXPLAIN`, `EXPLAIN ANALYZE`, lock/connection metrics, and production-safe rollout steps).
5. For production changes, include rollback and post-deploy verification.

## Schema Design

- Prefer narrow, monotonic PKs (`BIGINT UNSIGNED AUTO_INCREMENT`) for write-heavy OLTP tables.
- Avoid random UUID values as clustered PKs; if external IDs are required, keep UUID in a secondary unique column.
- Always `utf8mb4` / `utf8mb4_0900_ai_ci`. Prefer `NOT NULL`, `DATETIME` over `TIMESTAMP`.
- Lookup tables over `ENUM`. Normalize to 3NF; denormalize only for measured hot paths.

References:

- [primary-keys](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/primary-keys.md)
- [data-types](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/data-types.md)
- [character-sets](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/character-sets.md)
- [json-column-patterns](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/json-column-patterns.md)

## Indexing

- Composite order: equality first, then range/sort (leftmost prefix rule).
- Range predicates stop index usage for subsequent columns.
- Secondary indexes include PK implicitly. Prefix indexes for long strings.
- Audit via `performance_schema` — drop indexes with `count_read = 0`.

References:

- [composite-indexes](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/composite-indexes.md)
- [covering-indexes](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/covering-indexes.md)
- [fulltext-indexes](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/fulltext-indexes.md)
- [index-maintenance](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/index-maintenance.md)

## Partitioning

- Partition time-series (>50M rows) or large tables (>100M rows). Plan early — retrofit = full rebuild.
- Include partition column in every unique/PK. Always add a `MAXVALUE` catch-all.

References:

- [partitioning](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/partitioning.md)

## Query Optimization

- Check `EXPLAIN` — red flags: `type: ALL`, `Using filesort`, `Using temporary`.
- Cursor pagination, not `OFFSET`. Avoid functions on indexed columns in `WHERE`.
- Batch inserts (500–5000 rows). `UNION ALL` over `UNION` when dedup unnecessary.

References:

- [explain-analysis](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/explain-analysis.md)
- [query-optimization-pitfalls](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/query-optimization-pitfalls.md)
- [n-plus-one](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/n-plus-one.md)

## Transactions & Locking

- Default: `REPEATABLE READ` (gap locks). Use `READ COMMITTED` for high contention.
- Consistent row access order prevents deadlocks. Retry error 1213 with backoff.
- Do I/O outside transactions. Use `SELECT ... FOR UPDATE` sparingly.

References:

- [isolation-levels](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/isolation-levels.md)
- [deadlocks](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/deadlocks.md)
- [row-locking-gotchas](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/row-locking-gotchas.md)

## Operations

- Use online DDL (`ALGORITHM=INPLACE`) when possible; test on replicas first.
- Tune connection pooling — avoid `max_connections` exhaustion under load.
- Monitor replication lag; avoid stale reads from replicas during writes.

References:

- [online-ddl](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/online-ddl.md)
- [connection-management](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/connection-management.md)
- [replication-lag](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/replication-lag.md)

## Guardrails

- Prefer measured evidence over blanket rules of thumb.
- Note MySQL-version-specific behavior when giving advice.
- Ask for explicit human approval before destructive data operations (drops/deletes/truncates).

Related Skills

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