opinionated-engineer

What problem does it solve?

AI-generated code often lacks production readiness, with common issues including unfinished TODOs, missing test coverage, unhandled errors, and insufficient security controls. This Skill eliminates those gaps by enforcing strict, opinionated engineering best practices to ensure all generated code meets senior engineer-level quality standards.

Core Features & Use Cases

• 10 Hard Guardrails: Mandatory rules banning TODOs/pseudocode, requiring full test coverage, complete error handling, structured logging, type safety, input validation, database transactions, audit trails for sensitive operations, and rollback capability.
• TDD-First Workflow: Forces test-writing before implementation to define clear interface contracts and edge case coverage.
• End-to-End Deliverables: Requires full, deployable code units with organized source, test, and documentation files instead of fragmented code snippets.
• Use Case: When building a user login API, the Skill ensures the output includes rate limiting, password hashing, JWT issuance, audit logging, and full unit/integration test coverage, rather than just a basic functional snippet.

Quick Start

Ask the AI to build a production-ready user authentication API following all engineering discipline rules.