When is the best time to use the code-quality skill?

The recommended workflow is to run quality checks immediately after making code changes and before performing a commit to ensure no regressions were introduced.

Is this skill compatible with the Codex Pair Planning framework?

Absolutely. This skill is a core component of the codex-pair-pipeline, designed to work seamlessly within its multi-agent planning framework.

Can this skill automatically fix linting errors?

Yes, if the linting errors are eligible for auto-fixing, you can run `./start.sh lint-fix` to resolve them automatically.

Does this skill support both linting and type checking separately?

Yes, you can run isolated checks using `./start.sh typecheck` for type safety or `./start.sh lint` for stylistic and programmatic linting.

How do I run a full quality check with this skill?

You can execute a complete quality check, including both type checking and linting, by running the `./start.sh check` command.

Code Quality Optimizer

Name: Code Quality Optimizer
Author: GantisStorm

byGantisStorm

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Developer Tools

Ensures high-standard code integrity by automating comprehensive linting, type checking, and formatting fixes within the development workflow.

About

The code-quality skill provides a streamlined interface for maintaining codebase integrity by integrating essential static analysis checks directly into the Claude Code environment. It enables developers to execute comprehensive type checking and linting tasks, identify stylistic issues, and automatically resolve fixable errors before committing code. This skill is particularly valuable for ensuring that AI-generated contributions adhere to project-specific standards, reducing technical debt and preventing runtime errors through rigorous verification cycles.

Key Features

Automated linting with built-in auto-fix capabilities
Full-suite automated code quality verification
Pre-commit validation to ensure repository health
3 GitHub stars
Integrated static type checking via start script
Standardized verification workflow for AI agents

Use Cases

Performing rapid type-safety checks during development iterations
Standardizing code style and formatting across large repositories
Validating AI-generated code changes before a final commit

About

Key Features

Automated linting with built-in auto-fix capabilities
Full-suite automated code quality verification
Pre-commit validation to ensure repository health
3 GitHub stars
Integrated static type checking via start script
Standardized verification workflow for AI agents

Use Cases

Performing rapid type-safety checks during development iterations
Standardizing code style and formatting across large repositories
Validating AI-generated code changes before a final commit