How does it help with backend performance?

It specifically monitors DB call frequency, alerting you if a single service method performs multiple repository calls that could be optimized into a single bulk operation.

Can I use Self-Check as a pre-commit hook?

Yes, the skill is designed to be triggered via /self-check or as part of a commit workflow to act as a quality gate before code is finalized.

Which programming frameworks does Self-Check support?

Self-Check features automatic detection for NestJS, React, Vue, Next.js, iOS (Swift), Android (Gradle), Golang, and Rust projects.

How does this differ from a standard linter?

Unlike standard linters that focus on syntax and formatting, Self-Check analyzes logic patterns, such as verifying if a generated ID is actually used in downstream calls or if a single request triggers too many database operations.

Does it support custom configuration?

Yes, you can define a .claude/self-check.yaml file to explicitly set your project type, toggle specific checks, and ignore certain file patterns like test suites.

Self-Check Quality Gate

Name: Self-Check Quality Gate
Author: lazyman-ian

bylazyman-ian

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Seguridad y Pruebas

Automates multi-platform code quality audits and pre-commit checks to catch logic errors and performance bottlenecks before they reach production.

Self-Check is a comprehensive development quality gate for Claude Code that automatically detects your project environment—including NestJS backends, React frontends, and mobile platforms like iOS or Android—to run tailored diagnostic checks. It goes beyond basic linting by identifying sophisticated architectural issues such as broken parameter flows, excessive database calls within single requests, and SwiftUI body complexity. By integrating seamlessly into your Git workflow, it ensures every commit meets high-quality standards by catching common developer oversights and performance regressions early in the development cycle.

Características Principales

01Performance monitoring for backend services by counting database calls per request handler.

02Parameter flow analysis to ensure generated IDs and variables are correctly passed to downstream functions.

03Automatic project type detection for Backend, Frontend, iOS, Android, Go, and Rust.

04Automated identification of duplicate filenames and unused exports across shared libraries.

052 GitHub stars

06UI-specific audits including SwiftUI body complexity and frontend component re-render analysis.

Casos de Uso

01Maintaining clean architecture in large monorepos by detecting unused exports and duplicate schema definitions.

02Optimizing database interactions in backend services by identifying redundant repository calls.

03Running a final quality audit before committing code to ensure no logic gaps or performance regressions.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add lazyman-ian/dev-flow self-check

For use in Claude.ai and ChatGPT

Download Skill