464 个 · 按相关度排序
Write and review Gradio demos for Hugging Face ZeroGPU. Configure GPU time limits and dependencies, and troubleshoot errors caused by separate worker processes, shared state, concurrent requests, or CUDA package installation.
中文简介正在准备中。当前显示英语简介。
Audit GitHub Codespaces startup time and spending, then identify up to three evidence-based improvements to development containers, machine sizes, prebuilds, or idle timeouts, with validation results and expected impact.
中文简介正在准备中。当前显示英语简介。
Build and maintain machine learning apps on Hugging Face Spaces. Choose a suitable app framework and computing hardware, load models, deploy files, and check logs and outputs to diagnose build or runtime problems.
中文简介正在准备中。当前显示英语简介。
Find and load Copilot Spaces, shared collections of project documents, code, and instructions, to answer team-specific questions or follow reporting workflows. Also create and update spaces, attached resources, and collaborator settings through the GitHub CLI.
中文简介正在准备中。当前显示英语简介。
AI demos and GPU compute with Gradio Spaces and Hugging Face Spaces ZeroGPU. Use when writing or reviewing code that uses `@spaces.GPU`, configuring `python_version` or `requirements.txt` for a ZeroGPU Space, or handling ZeroGPU-specific code constraints — pickle-based process isolation, `gr.State` semantics across the worker boundary, no `torch.compile` (use AoTI instead), CUDA wheel-only builds (no `nvcc` at build or runtime), large vs xlarge sizing, and dynamic duration callables. Make sure to use this skill whenever the user mentions ZeroGPU, `@spaces.GPU`, or the `spaces` Python package, or hits ZeroGPU-specific code errors like `PicklingError` across the worker boundary, `illegal duration`, or `flash-attn` wheel-build failures — even when the user does not explicitly ask for ZeroGPU coding guidance. Trigger on `import spaces` or `@spaces.GPU` in code.
中文简介正在准备中。当前显示原文说明。
Search Hugging Face Hub for models, datasets, papers, and AI apps. Inspect documentation, use hosted apps for image generation or transcription, and run or schedule code on cloud CPUs and GPUs through an MCP server connection.
中文简介正在准备中。当前显示英语简介。
Build, deploy, and maintain applications on Hugging Face Spaces — Gradio / Docker / Static SDKs, ZeroGPU and dedicated hardware, model loading, debugging, buckets, inference providers, community grants. Use whenever the user asks to create or host an app on Hugging Face, port code onto ZeroGPU, fix a Space that won't build or run, or otherwise work with `hf spaces …`, `@spaces.GPU`, Space README frontmatter, or the `spaces` Python package.
中文简介正在准备中。当前显示原文说明。
Manage Contentful spaces, the containers used to organize content, from Claude Code through Composio. List accessible spaces, inspect creation dates and current versions, rename spaces, and review the organization's space inventory.
中文简介正在准备中。当前显示英语简介。
Set up and maintain a monorepo, a single repository containing multiple apps and packages. Use Turborepo, Nx, and pnpm workspaces to organize shared code, manage dependencies, improve builds, and plan package releases.
中文简介正在准备中。当前显示英语简介。
Guide an agent's work in Rowboat Spaces, a team chat for people and agents. Covers reading and replying to threads, notifying members, handing off tasks, and editing shared files through the service's tools.
中文简介正在准备中。当前显示英语简介。
Manage Contentful spaces, the containers used to organize content, from Claude Code through Composio. List accessible spaces, inspect creation dates and current versions, rename spaces, and review the organization's space inventory.
中文简介正在准备中。当前显示英语简介。
Configure a repository for Superset so new isolated Git workspaces have dependencies, environment files, and service access ready. Create lifecycle scripts in .superset/config.json and verify the setup by starting a real test workspace.
中文简介正在准备中。当前显示英语简介。
Build and publish a browser demo for a supplied LoRA, a model adaptation for image or video tasks. Tailor the Gradio interface to its inputs and follow the model’s recommended settings on Hugging Face Spaces.
中文简介正在准备中。当前显示英语简介。
Provides authoritative compatibility checks, pricing estimates, connection troubleshooting, pre-warming guidance, and infrastructure mutations for Amazon Keyspaces (for Apache Cassandra). Covers LWT/batch operations, secondary indexes, materialized views, capacity modes, TTL, PITR, CDC, auto-scaling, multi-region keyspaces, UDTs, nodetool diagnostics parsing, SQL-to-Cassandra migration, and Cassandra-to-Keyspaces migration scenarios. Agents frequently produce incomplete or incorrect answers about Keyspaces feature support without this skill loaded.
中文简介正在准备中。当前显示原文说明。
Manage Google Chat spaces, the places where conversations happen, and their messages through the gws command-line tool. Create or update spaces, add members, send messages, and upload or download attachments.
中文简介正在准备中。当前显示英语简介。
Manage Lark knowledge spaces, their members, and the hierarchy of document entries. Create spaces and entries, browse their structure, and move or copy entries to organize where team documents and shortcuts are located.
中文简介正在准备中。当前显示英语简介。
Manage NodeGroup resources in a KubeSphere environment, including creation, updates, and deletion. Bind or unbind nodes, namespaces, and workspaces, verify changes, and investigate synchronization problems or deployment settings using the bundled API script.
中文简介正在准备中。当前显示英语简介。
Read and summarize AI research papers from Hugging Face or arXiv links and identifiers. Retrieve paper content alongside structured details about authors, related models, datasets, Spaces, and implementation links to support further investigation.
中文简介正在准备中。当前显示英语简介。
Create and manage isolated GSD workspaces with repository copies and separate planning folders. Use one command to create an environment, review active workspace status, or remove a workspace and clean up its worktrees.
中文简介正在准备中。当前显示英语简介。
Connects AI agents to remote Windows desktop applications on Amazon WorkSpaces Applications (AppStream 2.0) through the managed Agent Access MCP server, and guides reliable desktop automation. Covers connecting an agent to the MCP endpoint (SigV4, streaming URL, and Active Directory SAML/Domain Join), BLOCKING vs POLLING connect modes, the computer-use tools (screenshot, click, type, key, scroll), screenshot-budget and action-batching discipline, MCP tool forwarding (forwarded___ tools), session lifecycle and expire-on-delete, and troubleshooting connection errors. Use when building or debugging an agent that drives a remote Windows desktop or GUI application via WorkSpaces Applications / AppStream — including "dcv session not ready", "client_disconnected", 400 signing-region, POLLING/connection_status, SAML assertion, or forwarded tool questions. Not for Amazon WorkSpaces Personal/Core virtual desktops or general AppStream fleet administration unrelated to agent access.
中文简介正在准备中。当前显示原文说明。
Expert knowledge for Playwright Workspaces development including troubleshooting, best practices, decision making, limits & quotas, security, and configuration. Use when managing Playwright Testing workspaces, tokens/RBAC, quotas, monitoring/metrics, or run/AADSTS7000112 issues, and other Playwright Workspaces related development tasks. Not for Azure App Testing (use azure-app-testing), Azure DevOps (use azure-devops), Azure Pipelines (use azure-pipelines), Azure Test Plans (use azure-test-plans).
中文简介正在准备中。当前显示原文说明。
Manage Clockify time tracking from Claude Code with natural language requests. Create, retrieve, or delete time entries, start timers, check running entries, and view workspaces and members for reporting, activity reviews, and invoice preparation.
中文简介正在准备中。当前显示英语简介。
Audit URL word separators and generate hyphenated slugs, the readable parts of page addresses. Plan changes from underscores or spaces, including permanent redirects, internal link updates, and sitemap changes.
中文简介正在准备中。当前显示英语简介。
Plan and track work in Asana by assigning task owners, updating deadlines and status, and setting dependencies between tasks. Review project progress, comments, teams, and workspaces through Asana's official connection for AI tools.
中文简介正在准备中。当前显示英语简介。