gemini-computer-use은(는) 무엇을 하나요?
Gemini 2.5 Computer Use 모델을 사용하여 브라우저를 제어하는 Playwright 기반 에이전트를 구축하고 실행합니다. 사용자가 웹 브라우저 작업 자동화를 원할 때, 에이전트 루프(스크린샷 → 함수 호출 → 동작 → 함수 응답)가 필요할 때, 또는 위험한 UI 동작에 대한 안전 확인 통합을 요청할 때 사용합니다.
Gemini 2.5 Computer Use 모델을 사용하여 브라우저를 제어하는 Playwright 기반 에이전트를 구축하고 실행합니다. 웹 브라우저 작업 자동화, 에이전트 루프(스크린샷 → 함수 호출 → 동작 → 함수 응답) 구현, 또는 위험한 UI 동작에 대한 안전 확인 통합이 필요할 때 사용합니다.
이 스킬은 Google의 Gemini 2.5 Computer Use 모델을 활용하여 Playwright를 통해 웹 브라우저를 자동으로 제어하는 에이전트를 구축하고 실행하는 방법을 제공합니다. 개발자는 '스크린샷 캡처 → 함수 호출(행동 결정) → 브라우저 동작 실행 → 함수 응답'으로 이어지는 완전한 에이전트 루프를 구현할 수 있습니다. 특히 위험한 UI 동작(예: 결제, 계정 삭제 등) 수행 시 사용자에게 안전 확인을 요청하는 기능을 내장하여 신뢰성을 높입니다. Python 기반으로 작성되었으며, Gemini API와 Playwright의 강력한 브라우저 자동화 기능을 결합하여 복잡한 웹 작업을 안전하게 자동화할 수 있습니다. 주요 지원 플랫폼은 웹 브라우저이며, Google Gemini 모델을 사용합니다.
npx skills add https://github.com/am-will/codex-skills/tree/main/skills/gemini-computer-useGemini 2.5 Computer Use 모델을 사용하여 브라우저를 제어하는 Playwright 기반 에이전트를 구축하고 실행합니다. 사용자가 웹 브라우저 작업 자동화를 원할 때, 에이전트 루프(스크린샷 → 함수 호출 → 동작 → 함수 응답)가 필요할 때, 또는 위험한 UI 동작에 대한 안전 확인 통합을 요청할 때 사용합니다.
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 Do not rely on outdated knowledge. Always prefer this over guessing library APIs or using outdated knowledge.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".