review-entity-store

Audit pull requests for entity store SQL migrations, sqlc queries, and proto consistency.

1|Updated Mar 8, 2026
One-click install
npx skills add https://github.com/viqueen/claude-go-playground --skill review-entity-store
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: review-entity-store
Source: https://github.com/viqueen/claude-go-playground/tree/main/.claude/skills/review-entity-store
Command: npx skills add https://github.com/viqueen/claude-go-playground --skill review-entity-store

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the review of pull requests related to entity store (database schema and queries) changes, ensuring data integrity and adherence to architectural standards.

Core Features & Use Cases

  • Automated Checklist Review: Verifies SQL migrations, sqlc queries, and sqlc.yaml configurations against a comprehensive checklist.
  • Proto-SQL Consistency Check: Ensures alignment between protobuf definitions and SQL schema/queries.
  • Use Case: A developer submits a PR to add a new entity to the database. This Skill can be used to automatically audit the PR, flagging any deviations from the expected schema, query patterns, or naming conventions before human review.

Quick Start

Use the review-entity-store skill to audit pull request number 123.

Frequently Asked Questions about review-entity-store

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I audit pull requests for SQL migrations and sqlc query changes?

You audit pull requests for SQL migrations and sqlc queries by analyzing PR diffs and verifying SQL migrations, sqlc queries, and sqlc.yaml configurations against predefined project standards for domains and entities.

How do I ensure consistency between protobuf definitions and SQL schema in code review?

To ensure consistency between protobuf definitions and SQL schema, cross-reference proto definitions with the database schema during code review to identify potential data model issues and alignment deviations.

Can I automatically check sqlc.yaml configurations against project conventions?

Yes, you can automatically check sqlc.yaml configurations by auditing pull requests and cross-referencing the configurations against predefined project conventions for data types and entities.

What is the best way to review database schema changes for naming convention deviations?

The best way to review database schema changes for naming convention deviations is to automate pull request auditing, cross-referencing SQL migrations and sqlc queries against expected schema patterns before human review.

Does reviewing entity store PRs require specific dependencies or environments?

Reviewing entity store PRs requires no specific dependencies or environments as it operates by analyzing PR diffs directly, cross-referencing changes with project conventions for domains, entities, and data types.

When should I not use automated data model PR review?

You should not use automated data model PR review when your project lacks predefined standards for SQL migrations and sqlc configurations, as the Skill relies on cross-referencing PR diffs against established project conventions.