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Found 1,182 Skills
This skill should be used when the user requests to add a new third-party API service to the AWS billing/quota monitoring system. It handles the complete onboarding process including adapter creation, Lambda deployment, CloudWatch alarms, Dashboard updates, and verification. Triggers on requests mentioning "add service monitoring", "monitor API balance", "setup quota alerts", "add to billing dashboard", or similar service integration requests.
Onnx Converter - Auto-activating skill for ML Deployment. Triggers on: onnx converter, onnx converter Part of the ML Deployment skill category.
Kubernetes and Helm patterns - use for deployment configs, service definitions, ConfigMaps, Secrets, and Helm chart management
Generate cross-platform installation scripts for any software, library, or module. Use when users ask to "create an installer", "generate installation script", "automate installation", "setup script for X", "install X on any OS", or need automated deployment across Windows, Linux, and macOS. The skill follows a three-phase approach: (1) Environment exploration - detect OS, gather system info, check dependencies; (2) Installation planning - propose steps with verification; (3) Execution with documentation generation.
Gemini 3 Pro API/SDK integration for text generation, reasoning, and chat. Covers setup, authentication, thinking levels, streaming, and production deployment. Use when working with Gemini 3 Pro API, Python SDK, Node.js SDK, text generation, chat applications, or advanced reasoning tasks.
Deploy full-stack applications on Cloudflare Pages. Covers Git integration, Direct Upload, Wrangler CLI, build configuration, Pages Functions (file-based routing), bindings, headers/redirects, custom domains, environment variables. Keywords: Cloudflare Pages, Pages Functions, Git deployment, Direct Upload, Wrangler, pages.dev, _headers, _redirects, _routes.json, preview deployments.
Qdrant vector database: collections, points, payload filtering, indexing, quantization, snapshots, and Docker/Kubernetes deployment.
Use this skill when building MCP (Model Context Protocol) servers with FastMCP in Python. FastMCP is a framework for creating servers that expose tools, resources, and prompts to LLMs like Claude. The skill covers server creation, tool/resource definitions, storage backends (memory/disk/Redis/DynamoDB), server lifespans, middleware system (8 built-in types), server composition (import/mount), OAuth Proxy, authentication patterns, icons, OpenAPI integration, client configuration, cloud deployment (FastMCP Cloud), error handling, and production patterns. It prevents 25+ common errors including storage misconfiguration, lifespan issues, middleware order errors, circular imports, module-level server issues, async/await confusion, OAuth security vulnerabilities, and cloud deployment failures. Includes templates for basic servers, storage backends, middleware, server composition, OAuth proxy, API integrations, testing, and self-contained production architectures. Keywords: FastMCP, MCP server Python, Model Context Protocol Python, fastmcp framework, mcp tools, mcp resources, mcp prompts, fastmcp storage, fastmcp memory storage, fastmcp disk storage, fastmcp redis, fastmcp dynamodb, fastmcp lifespan, fastmcp middleware, fastmcp oauth proxy, server composition mcp, fastmcp import, fastmcp mount, fastmcp cloud, fastmcp deployment, mcp authentication, fastmcp icons, openapi mcp, claude mcp server, fastmcp testing, storage misconfiguration, lifespan issues, middleware order, circular imports, module-level server, async await mcp
Dual skill for deploying scientific models. FastAPI provides a high-performance, asynchronous web framework for building APIs with automatic documentation. Streamlit enables rapid creation of interactive data applications and dashboards directly from Python scripts. Load when working with web APIs, model serving, REST endpoints, interactive dashboards, data visualization UIs, scientific app deployment, async web frameworks, Pydantic validation, uvicorn, or building production-ready scientific tools.
Comprehensive Flow Nexus platform management - authentication, sandboxes, app deployment, payments, and challenges
Authenticate with Eve and manage project secrets for deployments and workflows.
Sets up comprehensive GitHub Actions CI/CD workflows for modern web applications. This skill should be used when configuring automated lint, test, build, and deploy pipelines, adding preview URL comments on pull requests, or optimizing workflow caching. Use when setting up continuous integration, deployment automation, GitHub Actions, CI/CD pipeline, preview deployments, or workflow optimization.