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am-will/gemini-computer-use

Erstelle und führe Gemini 2.5 Computer Use Browser-Steuerungsagenten mit Playwright aus. Verwende dies, wenn ein Benutzer Web-Browser-Aufgaben über das Gemini Computer Use Modell automatisieren möchte, eine Agentenschleife (Screenshot → Funktionsaufruf → Aktion → Funktionsantwort) benötigt oder um die Integration einer Sicherheitsbestätigung für riskante UI-Aktionen bittet.

Was ist gemini-computer-use?

Dieses Skill ermöglicht es, einen Agenten zu erstellen, der Webbrowser-Aufgaben mithilfe des Gemini 2.5 Computer Use Modells und Playwright automatisiert. Es implementiert einen vollständigen Agentenzyklus: Der Agent macht einen Screenshot der aktuellen Browseransicht, sendet diesen an das Gemini-Modell, interpretiert den vom Modell zurückgegebenen Funktionsaufruf (z. B. Klick, Texteingabe, Navigation) und führt die entsprechende Aktion im Browser aus, deren Ergebnis dann als Funktionsantwort an das Modell zurückgesendet wird. Das Skill ist besonders nützlich für Aufgaben wie Web Scraping, Formularausfüllung, UI-Tests oder die Automatisierung wiederkehrender Web-Workflows. Es unterstützt die Integration einer Sicherheitsbestätigung für risikoreiche Aktionen, z. B. das Absenden von Formularen oder das Löschen von Daten, um unerwünschte Aktionen zu verhindern. Die Plattform ist primär für Entwickler auf Basis von Python oder Node.js mit Playwright und dem Gemini SDK konzipiert.

Funktioniert mit~Claude Code~Codex CLI~Cursor✓Gemini CLI
npx skills add https://github.com/am-will/codex-skills/tree/main/skills/gemini-computer-use

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Dokumentation

Was macht gemini-computer-use?

Erstelle und führe Gemini 2.5 Computer Use Browser-Steuerungsagenten mit Playwright aus. Verwende dies, wenn ein Benutzer Web-Browser-Aufgaben über das Gemini Computer Use Modell automatisieren möchte, eine Agentenschleife (Screenshot → Funktionsaufruf → Aktion → Funktionsantwort) benötigt oder um die Integration einer Sicherheitsbestätigung für riskante UI-Aktionen bittet.

Individual skills in this repo

This repo contains 17 individual skills — each has its own dedicated page.

am-will/agent-browser

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.

am-will/context7

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.

am-will/frontend-design

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.

am-will/frontend-responsive-design-standards

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.

am-will/llm-council

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.

am-will/markdown-url

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

am-will/openai-docs-skill

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.

am-will/parallel-task

Only to be triggered by explicit /parallel-task commands.

am-will/parallel-task-spark

Only to be triggered by explicit /parallel-task-spark commands.

am-will/plan-harder

Use when user specfically says 'plan harder'.

am-will/planner

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.

am-will/read-github

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

am-will/role-creator

Create and update Codex custom agents using standalone custom-agent TOML files.

am-will/super-swarm-spark

Only to be triggered by explicit super-swarm-spark commands.

am-will/swarm-planner

[EXPLICIT INVOCATION ONLY] Creates dependency-aware implementation plans optimized for parallel multi-agent execution.

am-will/tdd-test-writer

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.

am-will/vercel-react-best-practices

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.

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