Does it handle CI/CD setup?

Yes, it can configure automated workflows for GitHub Actions or GitLab CI, including automated testing, status badges, and deployment stages.

What documentation does it generate?

It creates industry-standard files like README.md, CONTRIBUTING.md, CHANGELOG.md, architecture docs, and MIT licenses tailored to your project's scope.

How does it ensure the setup matches my specific needs?

The skill follows a Discovery Phase where it asks about your project purpose, language preferences, and deployment targets before creating a custom implementation plan.

What project types does this skill support?

It supports a wide range of ecosystems including Node.js/TypeScript, Python, Go, and Rust, with specific templates for web apps, CLI tools, and APIs.

Can I use this on an existing project?

Yes, the skill can perform an 'Improvement Pass' or 'Audit + Fix' to add missing best practices, tooling, or documentation to any existing repository.

Project Bootstrapper

Name: Project Bootstrapper
Author: kjgarza

bykjgarza

Developer Tools

Sets up professional-grade project structures and development workflows using industry best practices and automated tooling.

About

The Project Bootstrapper skill streamlines the initial phases of development by automatically configuring essential project components, including standard directory structures, Git configurations, comprehensive documentation, and robust testing frameworks. Whether starting from scratch or professionalizing an existing codebase, it implements production-ready standards for code quality, dependency management, and CI/CD pipelines across various languages like TypeScript, Python, and Go, ensuring a smooth and scalable developer experience from day one.

Key Features

Automated directory structure and boilerplate generation
Testing framework initialization with example templates and coverage reporting
CI/CD pipeline configuration for GitHub Actions and GitLab CI
Comprehensive documentation setup including README, CONTRIBUTING, and CHANGELOG
Pre-configured code quality tools including linters, formatters, and Git hooks
0 GitHub stars

Use Cases

Initializing a new production-ready project with all required scaffolding and best practices
Adding standardized testing, linting, and formatting to a legacy or messy codebase
Establishing automated CI/CD workflows and branch protection patterns for team collaboration

About

Key Features

Automated directory structure and boilerplate generation
Testing framework initialization with example templates and coverage reporting
CI/CD pipeline configuration for GitHub Actions and GitLab CI
Comprehensive documentation setup including README, CONTRIBUTING, and CHANGELOG
Pre-configured code quality tools including linters, formatters, and Git hooks
0 GitHub stars

Use Cases

Initializing a new production-ready project with all required scaffolding and best practices
Adding standardized testing, linting, and formatting to a legacy or messy codebase
Establishing automated CI/CD workflows and branch protection patterns for team collaboration