Generate SQL DDL statements and schema alterations from design documents.
npx skills add https://github.com/Harries/hydpromptkit --skill dev-ddl
Please help me install this Agent Skill. Skill: dev-ddl Source: https://github.com/Harries/hydpromptkit/tree/main/skills/dev-ddl Command: npx skills add https://github.com/Harries/hydpromptkit --skill dev-ddl
Automates the generation of database DDL (CREATE TABLE, ALTER TABLE) from design documents, reducing manual drafting and the risk of human error when designing schemas.
Provide a design document and, if available, the current schema to generate the full DDL statements and incremental migrations.
High-intent search queries and answers about installing and using this skill.
To generate SQL DDL statements from design documents, you provide the design file and any existing schema dump to produce full CREATE TABLE statements or incremental ALTER TABLE migrations. This process automates schema creation and reduces manual drafting errors.
Yes, you can automate database schema migration by providing your updated design document alongside the current schema dump. The system generates incremental ALTER TABLE statements to evolve existing schemas safely, ensuring your database structure matches the latest design.
The best way to enforce consistent naming conventions during database schema creation is to automate DDL generation from design documents. The generated SQL statements automatically apply predefined naming rules to tables, columns, and indexes for reliable schema audits.
To create safe rollback suggestions for SQL schema alterations, generate incremental ALTER TABLE statements from your design changes. The output includes clear, rollback-ready SQL with comments, ensuring you can safely revert database migrations if needed.
You do not always need a current schema dump, but providing one is required to generate incremental ALTER TABLE statements for evolving schemas. Without an existing schema dump, the system generates full CREATE TABLE statements for new database designs instead.
Automated DDL generation covers tables, columns, and indexes for database schema design. It processes design documents to output standard SQL DDL statements, applying consistent naming conventions and providing rollback-ready SQL comments for audit purposes.
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