Alterlab Modal
技能 已验证 活跃Part of the AlterLab Academic Skills suite. Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.
To provide a seamless and scalable platform for running Python code in the cloud, abstracting away infrastructure complexities for tasks like ML model deployment, batch processing, and API serving.
功能
- Run Python code in serverless containers
- Access to GPUs (T4, L4, A100, H100, B200)
- Automatic scaling from zero to thousands of containers
- Customizable execution environments with dependency management
- Persistent storage via Modal Volumes
- Secure secret management
- Deployment of web endpoints and APIs
- Scheduled jobs and cron tasks
使用场景
- Deploying and serving ML models
- Running GPU-accelerated computation
- Batch processing large datasets
- Scheduling compute-intensive jobs
- Building autoscaling serverless APIs
- Scientific computing requiring distributed compute
非目标
- Replacing local development environments
- Providing a general-purpose virtual machine
- Managing complex infrastructure outside of the defined execution environment
安装
npx skills add AlterLab-IEU/AlterLab-Academic-Skills通过 npx 运行 Vercel skills CLI(skills.sh)— 需要本地安装 Node.js,以及至少一个兼容 skills 的智能体(Claude Code、Cursor、Codex 等)。前提是仓库遵循 agentskills.io 格式。
质量评分
已验证类似扩展
Modal
95Cloud computing platform for running Python on GPUs and serverless infrastructure. Use when deploying AI/ML models, running GPU-accelerated workloads, serving web endpoints, scheduling batch jobs, or scaling Python code to the cloud. Use this skill whenever the user mentions Modal, serverless GPU compute, deploying ML models to the cloud, serving inference endpoints, running batch processing in the cloud, or needs to scale Python workloads beyond their local machine. Also use when the user wants to run code on H100s, A100s, or other cloud GPUs, or needs to create a web API for a model.
Modal Serverless Gpu
98Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.
RunPod Cloud GPU
98通过 RunPod serverless 进行云 GPU 处理。在设置 RunPod 端点、部署 Docker 映像、管理 GPU 资源、排查端点问题或了解成本时使用。涵盖所有 5 个工具包映像（qwen-edit、realesrgan、propainter、sadtalker、qwen3-tts）。
Modal Serverless Gpu
95Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.
Project Development
100This skill should be used when the user asks to "start an LLM project", "design batch pipeline", "evaluate task-model fit", "structure agent project", or mentions pipeline architecture, agent-assisted development, cost estimation, or choosing between LLM and traditional approaches.
Embedding Strategies
100Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains.