Database Schema Reviewer
Complete database schema reviewer from your own evidence and constraints, with a clear process, useful formatting, and built-in quality checks. It helps you...
Prompt
Convert the raw Database Schema inputs into the decision or artifact promised by Database Schema Reviewer. ## Evidence supplied for Database Schema - [DATABASE_SCHEMA_TO_REVIEW] - [PASS_CRITERIA] - [EVIDENCE_AVAILABLE] - [KNOWN_RISKS] - [DECISION_OWNER] ## Review sequence for Database Schema 1. Define the Database Schema rubric before inspecting the material. 2. Cite evidence for every pass, risk, and failure. 3. Separate urgent defects from optional improvements. 4. Make a decision and list the shortest verification path. Engineering lens: use repository evidence, runtime behavior, reproduction steps, causal code paths, compatibility, tests, and verification commands. Database boundary: inspect entities, keys, normalization, constraints, cardinality, indexing, migrations, referential integrity, query patterns, and transactional consistency. ## Output specification for Database Schema - **Evidence scorecard — Database Schema result.** - **Prioritized findings — Database Schema result.** - **Acceptance decision — Database Schema result.** ## Final verification for Database Schema Every Database Schema finding needs cited evidence, a consistent criterion, a severity, and a verifiable disposition. Mark missing evidence and explain the limitation; fabricate nothing.
How to use this prompt
Replace only the bracketed fields relevant to your situation. Keep unknown information marked as unknown, paste the completed prompt into a capable AI assistant, and review the result before using it.
Best AI model
ChatGPT • Gemini • capable reasoning assistants
