Rechercher

PythonReactSEOPDF

JoaquinCampo AI Skills

GitHub ↗

Explorez les skills IA publiés de JoaquinCampo et consultez leurs instructions source.

Statistiques de l’auteur

Skills indexés

17

Étoiles des dépôts des skills indexés

28

Forks du dépôt

0

Moyenne des étoiles par skill indexé

2

Les étoiles d’un dépôt peuvent se répéter entre ses skills.

17 skills

Explorer

GitHub

react-best-practices

JoaquinCampo

React and Next.js performance optimization guidelines. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving Re...

GitHub

brainstorming

JoaquinCampo

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

GitHub

frontend-design

JoaquinCampo

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include website...

GitHub

verification-before-completion

JoaquinCampo

Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before as...

GitHub

web-artifacts-builder

JoaquinCampo

Suite of tools for creating elaborate, multi-component HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or s...

GitHub

internal-comms

JoaquinCampo

A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Codex should use this skill whenever asked to write some sort of internal communications...

GitHub

algorithmic-art

JoaquinCampo

Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle...

GitHub

executing-plans

JoaquinCampo

Execute implementation plans step-by-step with quality guardrails (ask when unclear, minimal-change bias, readability checklist, verification). Use when the user asks to execute or follow a plan, run tasks sequ...

GitHub

webapp-testing

JoaquinCampo

Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.

GitHub

doc-coauthoring

JoaquinCampo

Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow help...

GitHub

theme-factory

JoaquinCampo

Toolkit for styling artifacts with a theme. These artifacts can be slides, docs, reportings, HTML landing pages, etc. There are 10 pre-set themes with colors/fonts that you can apply to any artifact that has be...

GitHub

canvas-design

JoaquinCampo

Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visu...

GitHub

prd

JoaquinCampo

Generate an ML-centric PRD for ML-Ralph. Use when planning an ML project, experiment plan, or when asked to create an ML PRD. Triggers on: create a prd, write prd for, plan this ML feature, requirements for, sp...

GitHub

ralph

JoaquinCampo

Convert an ML PRD into prd.json for ML-Ralph. Use when you have an ML PRD and need prd.json. Triggers on: convert this prd, turn this into ml-ralph format, create prd.json from this, ralph json.

GitHub

prd

JoaquinCampo

Generate an ML-centric PRD for ML-Ralph. Use when planning an ML project, experiment plan, or when asked to create an ML PRD. Triggers on: create a prd, write prd for, plan this ML feature, requirements for, sp...

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.