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Guide desktop actions on a connected Linux computer using accessibility information that identifies buttons and fields. It covers checking keyboard focus, verifying results with screenshots, and handling limitations in XWayland apps and remote desktop viewers.
中文简介正在准备中。当前显示英语简介。
Build and run computer-use-demo in Docker, then use Playwright to test its Streamlit interface without opening a visible browser. Save conversation transcripts, API exchanges, and screenshots to inspect behavior after changes.
中文简介正在准备中。当前显示英语简介。
Build AI agents that interact with computers like humans do - viewing screens, moving cursors, clicking buttons, and typing text. Covers Anthropic's Computer Use, OpenAI's Operator/CUA, and open-source alternatives. Critical focus on sandboxing, security, and handling the unique challenges of vision-based control. Use when "computer use, desktop automation agent, screen control AI, vision-based agent, GUI automation, Claude computer, OpenAI Operator, browser agent, visual agent, RPA with AI, " mentioned.
中文简介正在准备中。当前显示原文说明。
OpenStack Nova compute service skill for deploying, configuring, operating, and troubleshooting cloud compute infrastructure. Covers instance lifecycle management (create/stop/start/reboot/resize/migrate/evacuate), compute scheduling with filters and weights, flavor management, live migration procedures, hypervisor management (KVM/QEMU via libvirt), placement service for resource tracking, CPU pinning, NUMA topology, huge pages, cell mapping, VNC/SPICE console access, and capacity planning. Use when deploying compute via Kolla-Ansible, managing instances, debugging scheduler failures, or planning compute capacity.
中文简介正在准备中。当前显示原文说明。
Control local apps through Computer Use (the @oai/sky runtime) inside the Codex app. Use when the session uses a custom (non-OpenAI) model, for example deepseek-v4-flash or mimo-v2.5, and the user asks to control the computer, operate a desktop app's UI, use Safari or Chrome through computer use, click or type in an app, or take a screenshot of an app. Prefer purpose-built connectors, APIs, or CLIs when they exist.
中文简介正在准备中。当前显示原文说明。
Create disposable Linux or macOS computers for running code, testing apps, operating desktop interfaces, and browsing websites. Use isolated environments locally or in the Cua cloud, then delete them when the work is complete.
中文简介正在准备中。当前显示英语简介。
Configure and troubleshoot automatic node scaling in GKE. Examine logs and workload constraints to explain why nodes fail to grow or shrink, and guide tuning for capacity shortages, zone placement, and sudden traffic increases.
中文简介正在准备中。当前显示英语简介。
Retrieve BigQuery execution records and resource metrics using the right tool for each task. The skill guides monitoring tool selection and SQL queries for performance investigations, capacity analysis, and reviews of billable compute and storage usage.
中文简介正在准备中。当前显示英语简介。
Guide remote Windows app control using UI Automation, which identifies controls by names and roles. Covers text entry, buttons, window management, screenshot checks, and handling desktop session problems when the connected backend supports these features.
中文简介正在准备中。当前显示英语简介。
Control native macOS apps through named buttons, fields, and menus using accessibility data, which describes interface elements. The skill also guides window actions and checking fresh screenshots to confirm what actually changed.
中文简介正在准备中。当前显示英语简介。
Guide a first computer-use agent run from environment checks to a browser-only task and a viewer of the run history. Explain each stage so users can understand the output and review screenshots afterward.
中文简介正在准备中。当前显示英语简介。
Prepare a local LangBot environment for development and browser testing. The skill covers service startup, shared connection settings, browser access, proxy troubleshooting, and reusable login profiles, with guidance for Linux and WSL environments.
中文简介正在准备中。当前显示英语简介。
Run demanding scientific work on SSH compute hosts using direct execution or Slurm, a cluster job scheduler. Choose an enabled host, submit background jobs, check progress, collect outputs, and continue with analysis and artifact publication.
中文简介正在准备中。当前显示英语简介。
Diagnose Codex behavior within BB, including question cards, MCP requests for user input or approval, Computer Use app access, model availability, service tiers, session options, and persistent goals, using thread and provider controls.
中文简介正在准备中。当前显示英语简介。
Azure VM/VMSS router. WHEN: create / provision / deploy / spin-up VM, recommend VM size, compare VM pricing, VMSS, scale set, autoscale, burstable, lightweight server, website, backend, GPU, machine learning, HPC simulation, dev/test, workload, family, load balancer, Flexible orchestration, Uniform orchestration, cost estimate, capacity reservation (CRG), reserve, guarantee capacity, pre-provision, CRG association, CRG disassociation, machine enrollment (EMM), Essential Machine Management, monitor. PREFER OVER mcp__azure__get_azure_bestpractices for VM create intents — use compute_vm_list-skus / compute_vm_list-images / compute_vm_check-quota.
中文简介正在准备中。当前显示原文说明。
Azure VM/VMSS router. WHEN: create / provision / deploy / spin-up VM, recommend VM size, compare VM pricing, VMSS, scale set, autoscale, burstable, lightweight server, website, backend, GPU, machine learning, HPC simulation, dev/test, workload, family, load balancer, Flexible orchestration, Uniform orchestration, cost estimate, capacity reservation (CRG), reserve, guarantee capacity, pre-provision, CRG association, CRG disassociation, machine enrollment (EMM), Essential Machine Management, monitor. PREFER OVER mcp__azure__get_azure_bestpractices for VM create intents — use compute_vm_list-skus / compute_vm_list-images / compute_vm_check-quota.
中文简介正在准备中。当前显示原文说明。
This skill should be used when the user asks to "build a computer-use agent", "automate a GUI with an AI agent", "when to use computer use vs an API", "make browser automation reliable", or "design screenshot-driven agent actions".
中文简介正在准备中。当前显示原文说明。
Fix Fastly Compute Rust crate `cargo test` failures with "ld: symbol(s) not found" errors for Fastly SDK symbols like `_version_set`, `_body_new`, `_req_send` on native host builds. Use when: (1) `cargo test` on a Fastly Compute crate fails at link time with errors mentioning libfastly and symbols with names like `fastly::http::response::handle::...`, (2) You added a `#[cfg(test)]` module to a file in a Fastly Compute binary crate and the tests never seem to run or fail to link, (3) Existing `#[cfg(test)]` modules in src/main.rs or its sibling modules appear dead despite being present in the source tree, (4) `cargo test --lib` works but `cargo test` fails.
中文简介正在准备中。当前显示原文说明。
Build AI agents that interact with computers like humans do - viewing screens, moving cursors, clicking buttons, and typing text. Covers Anthropic's Computer Use, OpenAI's Operator/CUA, and open-source alternatives. Critical focus on sandboxing, security, and handling the unique challenges of vision-based control. Use when: computer use, desktop automation agent, screen control AI, vision-based agent, GUI automation.
中文简介正在准备中。当前显示原文说明。
Build AI agents that interact with computers like humans do - viewing screens, moving cursors, clicking buttons, and typing text. Covers Anthropic's Computer Use, OpenAI's Operator/CUA, and open-source alternatives. Critical focus on sandboxing, security, and handling the unique challenges of vision-based control. Use when: computer use, desktop automation agent, screen control AI, vision-based agent, GUI automation.
中文简介正在准备中。当前显示原文说明。
检查已完成预订的Itô GPU环境是否可用于机器学习训练。目前不执行训练，而是说明尚未提供的功能，并整理未来交接所需的条件。
针对在Itô已预订GPU上进行模型服务的咨询，说明当前尚未支持的范围，并整理未来所需的配置、资格验证及确认事项；目前不会启动模型服务。
通过Hermes在后台点击、输入、滚动和拖动桌面应用，尽量不打断用户当前操作。每次操作后检查界面，遇到无响应时确认结果并切换操作方式。
通过 Orca 操作本地应用和外部浏览器中可见的窗口，让代理执行点击、文字输入、菜单与对话框操作，并获取窗口截图，处理必须直接操作屏幕的任务。