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lucianoMintrone AI Skills

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

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Indexed skills

6

Repository stars across indexed skills

0

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0

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0

Repository stars may repeat across skills from the same repository.

6 skills

Browse skills

GitHub

frontend-design

lucianoMintrone

Design and implement production-grade UI for this No Name Running Club app (Next.js App Router + React + TypeScript + Tailwind CSS 4). Use when building or restyling components/pages/modals/admin screens. Follo...

GitHub

ask-questions-if-underspecified

lucianoMintrone

Clarify requirements before implementing. Use when a request has multiple plausible interpretations or is missing objective, scope, constraints, acceptance criteria, environment details, or safety/reversibility...

GitHub

react-best-practices

lucianoMintrone

React 19 + Next.js App Router performance and best practices for this codebase (TypeScript + Tailwind CSS 4). Use when writing/reviewing/refactoring components, deciding server vs client boundaries, building fo...

GitHub

code-review

lucianoMintrone

Perform code reviews for this No Name Running Club application (Next.js 16 App Router + React 19 + TypeScript + Tailwind CSS 4 + Prisma + NextAuth v5). Use when reviewing PRs/diffs, proposing architectural chan...

GitHub

oop-specialist

lucianoMintrone

Apply object-oriented design principles (SOLID/GRASP) when writing or reviewing code in this TypeScript + Next.js codebase. Use when designing/refactoring services, libraries, domain models, and module boundari...

GitHub

nextauth-prisma-server-actions

lucianoMintrone

Build and debug data mutations and protected access in this No Name Running Club app using Next.js App Router server actions + Prisma + NextAuth v5. Use when implementing/repairing server actions, route handler...

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.