Construye y ejecuta agentes de control de navegador Gemini 2.5 Computer Use con Playwright. Úsalo cuando un usuario quiera automatizar tareas del navegador web a través del modelo Gemini Computer Use, necesite un bucle de agente (captura de pantalla → llamada de función → acción → respuesta de función), o pida integrar confirmación de seguridad para acciones de UI riesgosas.
Esta habilidad te permite construir y ejecutar agentes de control de navegador utilizando el modelo Gemini 2.5 Computer Use de Google, en combinación con Playwright para la automatización del navegador. Es ideal para tareas que requieren interacción visual con páginas web, como formularios, extracción de datos y navegación guiada por imágenes. El flujo de trabajo típico sigue un bucle de agente: toma una captura de pantalla del navegador, el modelo analiza la imagen y decide una acción a realizar (hacer clic, teclear, desplazar, etc.), se ejecuta la acción y se devuelve una respuesta con el nuevo estado del navegador. La habilidad soporta integración con confirmación de seguridad para acciones consideradas riesgosas, permitiendo que el usuario las revise antes de ejecutarlas. Funciona tanto en Node.js como en Python, y está diseñada para ser utilizada con herramientas como Claude Code, Cursor, Codex, o directamente con la API de Google Gemini. Es útil para desarrolladores que necesitan automatizar pruebas web, scraping dinámico, o flujos de trabajo complejos que requieren comprensión visual del contenido del navegador.
npx skills add https://github.com/am-will/codex-skills/tree/main/skills/gemini-computer-useConstruye y ejecuta agentes de control de navegador Gemini 2.5 Computer Use con Playwright. Úsalo cuando un usuario quiera automatizar tareas del navegador web a través del modelo Gemini Computer Use, necesite un bucle de agente (captura de pantalla → llamada de función → acción → respuesta de función), o pida integrar confirmación de seguridad para acciones de UI riesgosas.
This repo contains 17 individual skills — each has its own dedicated page.
A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands.
Fetch up-to-date library documentation via Context7 CLI. Use PROACTIVELY when: (1) Working with ANY external library (React, Next.js, Supabase, etc.) (2) User asks about library APIs, patterns, or best practices (3) Implementing features that rely on third-party packages (4) Debugging library-specific issues (5) Need current documentation beyond training data cutoff (6) AND MOST IMPORTANTLY, when you are installing dependencies, libraries, or frameworks you should ALWAYS check the docs to see what the latest versions are. Do not rely on outdated knowledge. Always prefer this over guessing library APIs or using outdated knowledge.
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
Build responsive, mobile-first layouts using fluid containers, flexible units, media queries, and touch-friendly design that works across all screen sizes. Use this skill when creating or modifying UI layouts, responsive grids, breakpoint styles, mobile navigation, or any interface that needs to adapt to different screen sizes. Apply when working with responsive CSS, media queries, viewport settings, flexbox/grid layouts, mobile-first styling, breakpoint definitions (mobile, tablet, desktop), touch target sizing, relative units (rem, em, %), image optimization for different screens, or testing layouts across multiple devices. Use for any task involving multi-device support, responsive design patterns, or adaptive layouts.
Orchestrate a configurable, multi-member CLI planning council (Codex, Claude Code, Gemini, OpenCode, or custom) to produce independent implementation plans, anonymize and randomize them, then judge and merge into one final plan. Use when you need a robust, bias-resistant planning workflow, structured JSON outputs, retries, and failure handling across multiple CLI agents.
Route any website you need to visit through markdown.new by prefixing the URL. **WHEN TO USE:** - You would normally open a website link to read content (docs, blog posts, changelogs, GitHub issues, etc.) - You need a cleaner, Markdown-friendly view for copying notes or summarizing
Query the OpenAI developer documentation via the OpenAI Docs MCP server using CLI (curl/jq). Use whenever a task involves the OpenAI API (Responses, Chat Completions, Realtime, etc.), OpenAI SDKs, ChatGPT Apps SDK, Codex, MCP integrations, endpoint schemas, parameters, limits, or migrations and you need up-to-date official guidance.
Only to be triggered by explicit /parallel-task commands.
Only to be triggered by explicit /parallel-task-spark commands.
Use when user specfically says 'plan harder'.
Create comprehensive, phased implementation plans with sprints and atomic tasks. Use when user says: "make a plan", "create a plan", "plan this out", "plan the implementation", "help me plan", "design a plan", "draft a plan", "write a plan", "outline the steps", "break this down into tasks", "what's the plan for", or any similar planning request. Also triggers on explicit "/planner" or "/plan" commands.
Read and search GitHub repository documentation via gitmcp.io MCP service. **WHEN TO USE:** - User provides a GitHub URL - User mentions a specific repo in owner/repo format - User asks "what does this repo do?", "read the docs for X repo", or similar - User wants to search code or docs within a repo
Create and update Codex custom agents using standalone custom-agent TOML files.
Only to be triggered by explicit super-swarm-spark commands.
[EXPLICIT INVOCATION ONLY] Creates dependency-aware implementation plans optimized for parallel multi-agent execution.
Writes failing tests first for test-driven development and hands off a strict implementation contract that requires agents to make those tests pass without weakening the tests. Use when users ask for test-first workflows, RED/GREEN cycles, or behavior-gating tasks with automated tests.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
ElevenLabs text-to-speech with mac-style say UX.
Oracle CLI second-model review/debug/refactor/design with selected files, dry-run token checks, API or browser engine.
Capture and automate macOS UI with the Peekaboo CLI.
Generate multiple radically different interface designs for a module using parallel sub-agents. Use when user wants to design an API, explore interface options, compare module shapes, or mentions "design it twice".
Build a throwaway prototype to flesh out a design — a runnable terminal app for state/business-logic questions, or several radically different UI variations toggleable from one route.
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".