How does the skill handle large files?

It enforces strict limits where files exceeding 100-200 lines must be split. It provides a specific strategy to move logic into hooks, create sub-components, or extract business logic to maintain modularity.

What are the mandatory phases in the AI Pilot workflow?

The workflow consists of six phases: Exploration, Documentation Research, Impact Analysis, Error Detection, Precision Correction, and final Verification. The first three phases are blockers that must be completed before any code is modified.

What is the 'Sniper Validation Report'?

It is a standardized report generated by the skill that documents the architecture detected, documentation researched, risks identified, and the specific SOLID principles verified during the process.

Which programming languages are supported?

The skill is language-agnostic and includes specific configurations for TypeScript, JavaScript, Python, Go, Rust, and PHP, utilizing the linters and conventions found within your specific project.

Does it automatically fix linter errors?

Yes, but only after completing the research and impact analysis phases to ensure that fixes don't break existing functionality or violate architectural rules.

AI Pilot Code Quality

Name: AI Pilot Code Quality
Author: fusengine

byfusengine

Herramientas para Desarrolladores

Enforces rigorous software engineering standards through a mandatory six-phase validation workflow covering SOLID principles and architectural compliance.

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The AI Pilot Code Quality skill transforms Claude into a high-level software architect focused on codebase health and long-term maintainability. It implements a strict, non-negotiable 6-phase workflow—Exploration, Documentation, Impact Analysis, Error Detection, Correction, and Verification—ensuring that every modification is backed by deep context and risk assessment. By enforcing SOLID principles, strict file size limits (<100 LoC), and mandatory linter verification, this skill prevents technical debt and ensures that AI-generated changes align with professional architectural patterns like Clean or Hexagonal architecture.

Características Principales

Cross-language linter integration for real-time error detection and verification
Intelligent impact analysis and risk assessment before any code modification
Automated SOLID principle validation and architectural pattern enforcement
0 GitHub stars
Strict file size management with automated logic extraction and splitting strategies
Mandatory 6-phase validation workflow to eliminate risky 'blind' code changes

Casos de Uso

Performing comprehensive architectural audits and linting across multi-language repositories
Safely updating critical dependencies by performing deep impact analysis on all usages
Refactoring monolithic components into modular, SOLID-compliant services and hooks

Acerca de

Características Principales

Cross-language linter integration for real-time error detection and verification
Intelligent impact analysis and risk assessment before any code modification
Automated SOLID principle validation and architectural pattern enforcement
0 GitHub stars
Strict file size management with automated logic extraction and splitting strategies
Mandatory 6-phase validation workflow to eliminate risky 'blind' code changes

Casos de Uso

Performing comprehensive architectural audits and linting across multi-language repositories
Safely updating critical dependencies by performing deep impact analysis on all usages
Refactoring monolithic components into modular, SOLID-compliant services and hooks