Plan and apply database schema migrations with integrity checks.
npx skills add https://github.com/supermalang/ai-augmented-coding --skill schema-agent
Please help me install this Agent Skill. Skill: schema-agent Source: https://github.com/supermalang/ai-augmented-coding/tree/main/.claude/skills/schema-agent Command: npx skills add https://github.com/supermalang/ai-augmented-coding --skill schema-agent
This Skill helps you plan and apply database schema changes safely when a roadmap task affects the data model, reducing migration mistakes and keeping the project’s schema documentation in sync.
Ask the schema agent to review the active roadmap task, propose the schema diff, and apply the migration only after I confirm the changes.
High-intent search queries and answers about installing and using this skill.
Database schema migrations require reviewing fields, relations, defaults, and delete rules before applying changes. You can design the schema diff, run integrity checks, and sequence migrations safely with confirmation required before any destructive production changes are executed.
Reviewing a data model involves auditing existing fields, indexes, and relation rules before writing changes. This ensures ORM regeneration and data-model consistency, keeping schema documentation and generated artifacts aligned after the modification is applied.
Updating a schema cheatsheet involves regenerating ORM artifacts and syncing documentation after modifying models or fields. This maintains data-model consistency and ensures the project's schema records accurately reflect the newly applied database changes.
Automated migration sequencing supports destructive production database changes but requires explicit confirmation before execution. Safe execution guardrails are applied to review the schema diff and perform integrity checks to prevent accidental data loss during deployment.
You need to regenerate the ORM after a database schema update whenever roadmap tasks modify models, fields, or relations. This regeneration ensures data-model consistency and aligns generated artifacts with the newly applied schema changes.
Database migration requires integrity checks to validate fields, relations, defaults, and indexes before deployment. These checks prevent schema inconsistencies and ensure safe migration sequencing, reducing the risk of migration mistakes during production releases.
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