MySQL Schema Best Practice Generator for Openclaw

A MySQL 8.0 schema design and review skill that produces executable DDL, indexing strategies, validation checklists, and actionable risk warnings.

fatonionlee
v0.0.1
Sep 10, 2026
0
147
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install mysql-schema-best-practice-generator

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install mysql-schema-best-practice-generator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is MySQL Schema Best Practice Generator?

MySQL Schema Best Practice Generator is one of the Openclaw Skills designed to turn business table requirements into production-ready MySQL 8.0 database schemas. It generates normalized DDL with InnoDB, utf8mb4, explicit constraints, audit columns, indexes, foreign keys, naming conventions, partition guidance, and performance-aware defaults.

The skill also reviews existing DDL for structural, performance, security, and maintainability issues. It identifies missing primary keys, unsuitable data types, inconsistent time handling, redundant indexes, weak naming, partitioning errors, and migration risks, then returns repair recommendations or corrected SQL where possible.

MySQL Schema Best Practice Generator Use Cases

  • Generate a new MySQL 8.0 database and table schema from structured business requirements.
  • Review existing DDL before deployment, migration, or production release.
  • Design primary keys using BIGINT UNSIGNED AUTO_INCREMENT or UUIDv7 stored as BINARY(16).
  • Create composite indexes based on filtering, sorting, joins, tenant isolation, and soft deletion.
  • Standardize charset, collation, timestamps, audit fields, comments, and naming conventions.
  • Validate foreign keys, unique constraints, partition keys, and referential actions.
  • Detect oversized VARCHAR definitions, inappropriate FLOAT or DOUBLE monetary fields, and TEXT or JSON indexing problems.
  • Produce migration, rollback, checklist, rationale, and risk documentation for database changes.

How MySQL Schema Best Practice Generator Works

  1. Select a mode: use generate for a new schema or review for existing MySQL DDL.
  2. Normalize the request by filling in applicable engine, charset, collation, row format, primary-key, audit-column, and naming defaults.
  3. Map business fields to suitable MySQL types, including DECIMAL for money, TINYINT(1) for booleans, VARCHAR for bounded text, and JSON only for flexible semi-structured data.
  4. Apply schema standards: InnoDB, lowercase snake_case names, explicit NOT NULL and defaults, UTC-oriented time handling, table comments, and required primary keys.
  5. Design constraints and indexes around uniqueness, foreign keys, query predicates, ordering, joins, tenant IDs, and soft-delete columns while following the leftmost-prefix rule.
  6. Validate partition definitions, ensuring partition keys are compatible with primary and unique key requirements.
  7. For generation requests, return executable CREATE DATABASE, CREATE TABLE, index, constraint, generated-column, and related DDL statements.
  8. For review requests, classify findings as ERROR, WARN, or INFO, explain each issue, provide a fix and example SQL, and return fixed_ddl when automatic correction is practical.
  9. Add a checklist, design rationale, migration and rollback notes, and risk warnings to support safe implementation.
  10. If required input is missing or the DDL cannot be parsed, return a clear error with an example input or request for more complete SQL.

MySQL Schema Best Practice Generator Setup

This skill is primarily a static specification generator and reviewer. It does not require an external MCP service or a live MySQL connection.

  1. Install or enable the skill in the OpenClaw Skills environment using your platform's standard skill installation flow.
  2. Provide either a structured generate request or a review request.
  3. For generation, include the database name, tables, columns, keys, indexes, relationships, optional partitions, naming rules, and collation settings.
  4. For review, provide the original DDL and, when available, workload, data-size, and peak-QPS context.
  5. Execute and test returned DDL in a controlled MySQL 8.0+ environment before production rollout.

Example generation payload:

cat > schema-request.json <<'JSON'
{
  "mode": "generate",
  "db_name": "app_db",
  "tables": [
    {
      "table": "users",
      "comment": "Application users",
      "columns": [
        {
          "name": "id",
          "type": "BIGINT UNSIGNED",
          "nullable": false,
          "pk": true,
          "auto_increment": true,
          "comment": "Surrogate primary key"
        },
        {
          "name": "email",
          "type": "VARCHAR",
          "length": 255,
          "nullable": false,
          "unique": true,
          "comment": "User email address"
        }
      ]
    }
  ],
  "naming": {"snake_case": true, "lowercase": true},
  "collation": {"charset": "utf8mb4", "collate": "utf8mb4_0900_ai_ci"}
}
JSON

Optional SQL formatting can use an available sql-formatter MCP server. The skill should first check capabilities, add the configured server if needed, call format_sql, and fall back to built-in formatting when the tool is unavailable.

MySQL Schema Best Practice Generator Data Schema & Taxonomy

Generation input

Object Key fields
Request mode, db_name, tables, naming, collation
Table table, comment, columns, unique_keys, indexes, foreign_keys, partition, engine, extras
Column name, type, nullable, default, comment, enum, length, precision, scale, pk, auto_increment, unique
Index name, columns, type, comment
Foreign key columns, ref_table, ref_columns, on_update, on_delete
Partition type, expr, partitions
Extras soft_delete, tenant_id

Review input

  • mode: Must be review.
  • ddl: Original MySQL DDL string.
  • context: Optional workload such as OLTP, OLAP, or mixed; expected data_size; and peak qps.

Output structure

  • ddl: Executable generated SQL containing database, tables, comments, indexes, constraints, and required table options.
  • issues: Review findings with level, item, detail, fix, and optional example SQL.
  • fixed_ddl: Corrected DDL when automatic repair is possible.
  • checklist: Standards and release-validation items.
  • rationale: Key design tradeoffs and decisions.
  • migration_notes: Deployment and rollback guidance.
  • risk_warnings: Potential data, locking, compatibility, or performance risks.

Default metadata conventions include ENGINE=InnoDB, utf8mb4, utf8mb4_0900_ai_ci, ROW_FORMAT=DYNAMIC, UTC-aware timestamp handling, created_at, updated_at, created_by, updated_by, and optional indexed deleted_at for soft deletion. Names should use lowercase snake_case with pk_, uk_, idx_, and fk_ prefixes.

MySQL Schema Best Practice Generator Advanced Features

  • Supports both schema generation and existing-DDL review workflows.
  • Produces MySQL 8.0+ compatible DDL while avoiding deprecated syntax.
  • Recommends BIGINT UNSIGNED surrogate keys or UUIDv7 with BINARY(16) storage and UUID conversion functions.
  • Applies workload-aware composite index design using predicates, sort columns, joins, tenant IDs, and soft-delete filters.
  • Checks leftmost-prefix behavior, low-selectivity indexes, duplicate indexes, and write-performance overhead.
  • Evaluates DATETIME versus TIMESTAMP, UTC storage, explicit defaults, and ON UPDATE CURRENT_TIMESTAMP behavior.
  • Handles foreign-key enforcement recommendations for strongly consistent systems and application-side alternatives for sharded or highly concurrent deployments.
  • Validates partition-key compatibility with primary and unique keys and warns against unnecessary partitioning.
  • Includes audit-column, row-format, charset, collation, and table-comment standards.
  • Returns severity-based findings with remediation examples and optional corrected fixed_ddl.
  • Supports optional SQL formatting through an sql-formatter MCP tool without making the main workflow dependent on MCP.
  • Provides deployment, rollback, rationale, checklist, and risk outputs so Openclaw Skills users can move from schema design to safer production migrations.

SKILL.md


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