lastcow AI Skills

Browse published AI skills maintained by lastcow. Compare skill descriptions and follow each source repository for setup instructions.

7 skills

Browse skills

GitHub

innozverse-architecture

lastcow

Understand the innozverse monorepo architecture, system design, technology choices, and development patterns. Use when designing features, understanding system structure, making architectural decisions, or plan...

GitHub

innozverse-web-style

lastcow

Follow Next.js web development patterns including App Router conventions, client/server components, API client usage, and environment variables. Use when building web features, creating pages, or working with N...

GitHub

innozverse-api-style

lastcow

Follow API development conventions including RESTful design, Fastify patterns, Zod validation, error handling, and versioning. Use when building API endpoints, adding routes, or working with API code.

GitHub

innozverse-flutter-style

lastcow

Follow Flutter and Dart development best practices including project structure, API service patterns, StatefulWidget usage, and environment configuration. Use when working on mobile app features or modifying Fl...

GitHub

innozverse-repo-structure

lastcow

Navigate and understand the innozverse repository structure, file organization, naming conventions, and module boundaries. Use when creating new files, organizing code, or understanding where to add features.

GitHub

innozverse-flyio-deploy

lastcow

Deploy the innozverse API to Fly.io, manage deployments, check status, view logs, and troubleshoot deployment issues. Use when deploying the API or debugging Fly.io deployment problems.

GitHub

innozverse-testing-quality

lastcow

Maintain code quality standards including linting, type checking, testing strategies, and code review practices. Use when preparing commits, reviewing code, or setting up quality checks.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.