What happens if a fix doesn't work on the first try?

The skill operates in an iterative 'Ralph-loop' style, re-running diagnostics after every fix attempt and adjusting its strategy until all 19 gates pass successfully.

How many quality gates does the skill check?

It evaluates 19 specific quality gates covering everything from build success and test counts to code coverage percentages, API endpoints, and E2E execution.

What kind of projects does AIDA Fix support?

AIDA Fix is optimized for full-stack projects typically using Go for the backend, TypeScript/React for the frontend, and Docker for orchestration and deployment.

Can it add unit tests automatically?

Yes, it utilizes specialized Backend and Frontend 'Players' to generate table-driven Go tests and React component tests to meet specific coverage targets (e.g., 75% backend coverage).

AIDA Project Fixer

Name: AIDA Project Fixer
Author: clearclown

byclearclown

•

Seguridad y Pruebas

Automates the process of fixing full-stack projects to pass 19 comprehensive quality gates, including testing, coverage, and integration standards.

Acerca de

AIDA Project Fixer is a robust utility designed to bring partially completed or failing projects up to production standards by systematically addressing 19 distinct quality gates. It performs deep diagnostics across backend Go code, frontend TypeScript components, Docker configurations, and E2E tests, automatically generating fix plans and executing them through specialized sub-agents. This skill is ideal for teams needing to enforce strict coverage requirements, repair broken container environments, or finalize rapid prototypes into hardened, test-heavy applications.

Características Principales

Intelligent diagnostic reporting to identify specific syntax, logic, or coverage failures
Iterative fix-loop logic that continues until all quality and coverage metrics are satisfied
Full-stack verification including Docker container health and Playwright E2E testing
Automated 19-point quality gate enforcement for backend, frontend, and DevOps
Specialized 'Player' sub-agents for generating high-coverage unit and integration tests
1 GitHub stars

Casos de Uso

Rescuing interrupted project implementations by automatically identifying and fixing missing components
Hardening a rapid prototype to meet enterprise-grade test coverage and quality standards
Repairing failing CI/CD pipelines by resolving Docker, E2E, and integration conflicts

Acerca de

Características Principales

Intelligent diagnostic reporting to identify specific syntax, logic, or coverage failures
Iterative fix-loop logic that continues until all quality and coverage metrics are satisfied
Full-stack verification including Docker container health and Playwright E2E testing
Automated 19-point quality gate enforcement for backend, frontend, and DevOps
Specialized 'Player' sub-agents for generating high-coverage unit and integration tests
1 GitHub stars

Casos de Uso

Rescuing interrupted project implementations by automatically identifying and fixing missing components
Hardening a rapid prototype to meet enterprise-grade test coverage and quality standards
Repairing failing CI/CD pipelines by resolving Docker, E2E, and integration conflicts