How are technology choices validated?

Options are researched using industry sources like npm trends, TechEmpower benchmarks, and the State of JS surveys to provide data on popularity, performance, and maintenance status.

What is the PopKit Project Templates skill?

It is a specialized capability for Claude Code that provides curated, research-backed templates to guide developers through the initial technology selection and scaffolding phase of new projects.

Which project types are supported?

The skill includes templates for SaaS APIs, ML services, CLI tools, full-stack web applications, browser extensions, and mobile backends.

Can I use this on an existing project?

No, this skill is specifically designed for starting new projects. For existing projects, Claude Code should analyze the established codebase rather than applying a template.

PopKit Project Templates

Name: PopKit Project Templates
Author: jrc1883

byjrc1883

Productivity & Workflow

Accelerates new project initialization by providing research-backed technology templates and structured decision guidance for Claude Code.

About

PopKit Project Templates is designed to eliminate the guesswork and inconsistency often found in the early stages of software development. By providing a library of curated templates for SaaS APIs, ML services, CLI tools, and full-stack applications, this skill guides users through critical technology decisions using a standardized question-and-answer flow. Each option is backed by real-world performance metrics, popularity data, and clear pros/cons, ensuring your project starts with a production-ready architecture. This skill is ideal for developers starting fresh projects who want to follow industry best practices while maintaining a consistent workflow across different domains.

Key Features

Curated templates for SaaS, ML, CLI, and Full-Stack project types
Extensible JSON schema for creating and integrating custom templates
0 GitHub stars
Standardized question flow for consistent architectural decision-making
Research-backed technology options including pros, cons, and performance data
Automated scaffolding for directory structures and core configuration files

Use Cases

Setting up a standardized CLI tool with proper distribution and configuration patterns
Initializing a machine learning service with optimized model serving and inference engines
Bootstrapping a new SaaS backend with pre-validated runtime and database choices

About

Key Features

Curated templates for SaaS, ML, CLI, and Full-Stack project types
Extensible JSON schema for creating and integrating custom templates
0 GitHub stars
Standardized question flow for consistent architectural decision-making
Research-backed technology options including pros, cons, and performance data
Automated scaffolding for directory structures and core configuration files

Use Cases

Setting up a standardized CLI tool with proper distribution and configuration patterns
Initializing a machine learning service with optimized model serving and inference engines
Bootstrapping a new SaaS backend with pre-validated runtime and database choices