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Found 1,587 Skills
CI/CD pipelines, infrastructure as code, and deployment strategies
Environment variable management across Vercel, Convex, and other platforms. Invoke for: trailing whitespace issues, cross-platform parity, Invalid character errors, webhook secrets, API key management, production deployment, dev vs prod configuration.
Modern Python API development with FastAPI covering async patterns, Pydantic validation, dependency injection, and production deployment
Complete guide for Hasura GraphQL Engine including instant GraphQL APIs, permissions, authentication, event triggers, actions, and production deployment
Receive and verify Vercel webhooks. Use when setting up Vercel webhook handlers, debugging signature verification, or handling deployment events like deployment.created, deployment.succeeded, or project.created.
Patient safety evaluation harness for healthcare application deployments. Automated test suites for CDSS accuracy, PHI exposure, clinical workflow integrity, and integration compliance. Blocks deployments on safety failures.
Migrate Next.js, Vite, React, Vue, Svelte, and other web applications from Vercel to CreateOS. Parses vercel.json, maps environment variables, detects framework and build settings, and deploys to CreateOS via the CreateOS MCP server. Use this skill whenever the user mentions migrating from Vercel, leaving Vercel, moving a deployment off Vercel, replacing Vercel, or when a repository contains a vercel.json file and the user wants to deploy elsewhere. Also use when the user references concerns about Vercel reliability, pricing, security, or the Vercel breach, and wants an alternative.
Configure Istio traffic management including routing, load balancing, circuit breakers, and canary deployments. Use when implementing service mesh traffic policies, progressive delivery, or resilience patterns.
Build MCP servers in Python with FastMCP to expose tools, resources, and prompts to LLMs. Supports storage backends, middleware, OAuth Proxy, OpenAPI integration, and FastMCP Cloud deployment. Prevents 30+ errors. Use when: creating MCP servers, or troubleshooting module-level server, storage, lifespan, middleware, OAuth, background tasks, or FastAPI mount errors.
ML engineering skill for productionizing models, building MLOps pipelines, and integrating LLMs. Covers model deployment, feature stores, drift monitoring, RAG systems, and cost optimization.
AWS Bedrock AgentCore comprehensive expert for deploying and managing all AgentCore services. Use when working with Gateway, Runtime, Memory, Identity, or any AgentCore component. Covers MCP target deployment, credential management, schema optimization, runtime configuration, memory management, and identity services.
Hono ultrafast web framework fundamentals - routing, context, handlers, and response patterns for multi-runtime deployment