Does it enforce specific code styles?

Yes, it configures standard tools like Prettier, ESLint, and Ruff to ensure consistent formatting and linting across your entire development team.

What programming languages does this skill support?

It provides tailored configurations and best practices for Python, JavaScript, TypeScript, Rust, and Go.

How does it handle security?

It integrates security scanning tools like 'detect-secrets' into your pre-commit hooks to catch hardcoded credentials before they are committed to Git.

Can I use this on an existing project?

Yes, the skill assesses your current project state, identifies missing configuration files, and helps establish quality baselines for existing codebases.

Automated Project Setup

Name: Automated Project Setup
Author: rysweet

byrysweet

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Developer Tools

Automates the initialization of development environments with industry-standard configurations for linting, formatting, and pre-commit hooks.

About

This skill streamlines the creation and configuration of development environments by establishing essential quality baselines from day one. It automatically generates core configuration files like .gitignore and .editorconfig, sets up robust linting and formatting tools for multiple languages, and integrates pre-commit hooks to ensure code security and consistency. Whether you are starting a new repository or standardizing an existing project, this skill provides the scaffolding and tooling necessary for professional-grade development.

Key Features

Secrets detection and baseline initialization to prevent credential leaks
Language-specific tooling setup for Python, JS/TS, Rust, and Go
16 GitHub stars
Automated generation of core config files like .gitignore and .editorconfig
Standardized project structure scaffolding with best-practice layouts
Pre-commit hook integration for automated linting and security scanning

Use Cases

Onboarding new team members with a 5-minute 'clone and run' development workflow
Bootstrapping a new microservice with production-ready defaults and quality checks
Standardizing existing projects with strict formatting and automated linting rules

About

Key Features

Secrets detection and baseline initialization to prevent credential leaks
Language-specific tooling setup for Python, JS/TS, Rust, and Go
16 GitHub stars
Automated generation of core config files like .gitignore and .editorconfig
Standardized project structure scaffolding with best-practice layouts
Pre-commit hook integration for automated linting and security scanning

Use Cases

Onboarding new team members with a 5-minute 'clone and run' development workflow
Bootstrapping a new microservice with production-ready defaults and quality checks
Standardizing existing projects with strict formatting and automated linting rules