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Found 1,816 Skills
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.
Inspect and debug Honcho workspaces via the `honcho` CLI. Use when investigating peer representations, memory state, session context, queue status, or dialectic quality — any task that requires introspection of a Honcho deployment.
CLIP vision-language model for image-text retrieval, zero-shot classification, embedding extraction, ONNX export, and TensorRT deployment. Use when fine-tuning or training CLIP, running zero-shot classification, computing image embeddings, or deploying CLIP to ONNX/TensorRT.
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.
World-class ML engineering skill for productionizing ML models, MLOps, and building scalable ML systems. Expertise in PyTorch, TensorFlow, model deployment, feature stores, model monitoring, and ML infrastructure. Includes LLM integration, fine-tuning, RAG systems, and agentic AI. Use when deploying ML models, building ML platforms, implementing MLOps, or integrating LLMs into production systems.
Comprehensive guide for working with HashiCorp Terraform Stacks. Use when creating, modifying, or validating Terraform Stack configurations (.tfcomponent.hcl, .tfdeploy.hcl files), working with stack components and deployments from local modules, public registry, or private registry sources, managing multi-region or multi-environment infrastructure, or troubleshooting Terraform Stacks syntax and structure.
Accelerate LLM inference using speculative decoding, Medusa multiple heads, and lookahead decoding techniques. Use when optimizing inference speed (1.5-3.6× speedup), reducing latency for real-time applications, or deploying models with limited compute. Covers draft models, tree-based attention, Jacobi iteration, parallel token generation, and production deployment strategies.
Complete guide for Go backend development including concurrency patterns, web servers, database integration, microservices, and production deployment
Deploy and manage web apps using Azure App Service with auto-scaling, deployment slots, SSL/TLS, and monitoring. Use for hosting web applications on Azure.
Hono ultrafast web framework fundamentals - routing, context, handlers, and response patterns for multi-runtime deployment
Use when user needs ML model deployment, production serving infrastructure, optimization strategies, and real-time inference systems. Designs and implements scalable ML systems with focus on reliability and performance.
GitHub Actions CI/CD workflows for automating build, test, and deployment