Copy, paste, create.

Create a SQL query review checklist for this team and stack: Database: [POSTGRES / MYSQL / BIGQUERY / SNOWFLAKE] Typical query types: [REPORTING / ETL / APP / AD HOC] Data sensitivity: [PII / FINANCIAL / PUBLIC] Performance SLOs: [LATENCY OR COST LIMITS] Existing standards: [PASTE OR NONE] Team size: [SIZE] Requirements: 1. Cover correctness, readability, indexes, joins, filters, and null handling. 2. Add security checks (least privilege columns, no secrets in comments, PII redaction). 3. Include performance smells (SELECT *, unbounded scans, nested loops risk). 4. Make items yes/no with a short "why it matters" note. 5. Keep it usable as a PR template comment. Deliverables: 1. A prioritized checklist grouped by Correctness, Performance, Security, Maintainability. 2. Three example bad-query snippets with a safer rewrite. 3. A 5-item "fast path" for tiny one-off queries.

Create an API error handling playbook for this service: API style: [REST / GRAPHQL / RPC] Language / framework: [STACK] Audience of errors: [CLIENT APPS / PARTNERS / INTERNAL] Existing status code conventions: [CONVENTIONS OR NONE] Logging / observability stack: [TOOLS] Common failure modes: [TIMEOUTS, VALIDATION, AUTH, DEPENDENCIES] Requirements: 1. Define when to use 4xx vs 5xx and how to map domain errors. 2. Specify a stable error payload shape (code, message, details, request_id). 3. Include retry guidance for clients (idempotency, backoff, what not to retry). 4. Cover logging fields and what must never be logged (secrets, PII). 5. Give copy-paste examples for validation, auth, not found, and dependency failure. Deliverables: 1. Error taxonomy table. 2. Example error JSON for four common cases. 3. A short implementation checklist for PR reviewers.