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Found 275 Skills
This skill provides guidance for working with the Modal cloud platform. Use this skill whenever the user mentions Modal or has code that imports the `modal` SDK in Python, Go, or JavaScript. This skill should also trigger when the user needs to run Python code with vertical or horizontal scalability (e.g. batch jobs), needs access to GPUs (e.g. AI workloads including training and inference) or needs to run untrusted processes in a sandbox, since Modal serves these use cases well.
Appwrite .NET SDK skill. Use when building server-side C# or .NET applications with Appwrite, including ASP.NET and Blazor integrations. Covers user management, database/table CRUD, file storage, and functions via API keys.
Essential CloudBase (TCB, Tencent CloudBase, 云开发, 微信云开发) development guidelines. MUST read when working with CloudBase projects, developing web apps, mini programs, or backend services using CloudBase platform.
Debugs AWS Lambda function timeout failures by systematically analyzing function configuration, CloudWatch logs and metrics, VPC/networking, cold starts, memory constraints, and downstream dependencies to identify root causes with actionable fixes. Use when a Lambda function is timing out or approaching its timeout limit.
Manages Cloud Run services, jobs, and worker pools. Use when you need to deploy applications responding to HTTP requests (services), run event-triggered or scheduled tasks (jobs), or handle always-on pull-based background processing (worker pools).
AWS, GCP, Azure services and cloud-native development
Create cloud architecture diagrams using drawio XML format with official cloud provider icons. Best for AWS, Azure, GCP, Alibaba Cloud architecture diagrams with proper service icons and layout conventions. Built on drawio with cloud-specific stencils. NOT for simple flowcharts (use mermaid) or network topology without cloud services (use network skill).
Runpod CLI to manage your GPU workloads.
Serverless 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.
Use when "Modal", "serverless GPU", "cloud GPU", "deploy ML model", or asking about "serverless containers", "GPU compute", "batch processing", "scheduled jobs", "autoscaling ML"
Complete guide for CloudBase cloud functions development - runtime selection, deployment, logging, invocation, and HTTP access configuration.
Amazon EventBridge integration. Manage data, records, and automate workflows. Use when the user wants to interact with Amazon EventBridge data.