985건 · 관련도순
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.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
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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.
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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.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
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.
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Detect and diagnose CUDA correctness bugs with NVIDIA Compute Sanitizer. Routes GPU memory errors, shared-memory data races, uninitialized-memory reads, and synchronization/barrier bugs to the right sub-tool (memcheck, racecheck, initcheck, synccheck) and explains how to build, run, and read the report. Use when debugging illegal memory access, out-of-bounds, misaligned access, leaks, WAW/WAR/RAW races, __shared__ hazards, uninitialized reads, garbage results, hangs, divergent __syncthreads/__syncwarp, or cuda::barrier / wgmma issues. Do NOT use for host/CPU-side bugs (use valgrind or AddressSanitizer) or global-memory data races (out of scope). Trigger keywords - compute-sanitizer, memcheck, racecheck, initcheck, synccheck, CUDA memory error, OOB, race condition, uninitialized memory, __syncthreads, barrier, deadlock.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
예약이 완료된 Itô GPU 환경에서 기계 학습 훈련을 사용할 수 있는지 확인합니다. 현재는 훈련을 실행하지 않으며, 미제공 기능과 향후 인계 조건을 정리합니다.
예약한 Itô GPU의 모델 서비스 지원 여부와 향후 확인 사항을 정리합니다. 현재는 서비스를 시작하지 않으며, 미지원 범위와 필요한 조건을 안내합니다.
Hermes로 데스크톱 앱의 클릭과 입력을 백그라운드에서 수행합니다. 사용자 작업을 덜 방해하면서 화면과 결과를 확인하고, 반응이 없으면 조작 방식을 바꿉니다.
Manage Orca worktrees, separate working directories, along with terminals, repositories, and its embedded browser through the CLI. Use it to hand work to another agent, manage artifacts, run automations, and share skills within Orca.
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Control visible local apps and external browser windows through Orca, including clicks, typing, menus, dialogs, and screenshots. Use it for tasks that require interacting with a screen and cannot be completed through commands or APIs.
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Explain how dot works and check why a task is blocked, including computer access, login, approvals, and Slack errors. It provides supported next steps and answers questions about changing dot’s avatar and the user’s message color.
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