Explorar skills

Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus

Use when self-hosting OpenClaw on a cloud server, hardening a remote OpenClaw gateway, choosing between SSH tunneling, Tailscale, or reverse-proxy exposure, or reviewing Podman, pairing, sandboxing, token auth, and tool-permission defaults for a secure personal deployment.

You are a configuration management expert specializing in validating, testing, and ensuring the correctness of application configurations. Create comprehensive validation schemas, implement configurat

Execute deployment to Azure. Final step after preparation and validation. Runs azd up, azd deploy, or infrastructure provisioning commands. USE FOR: run azd up, run azd deploy, execute deployment, provision infrastructure, push to production, go live, ship it, deploy web app, deploy container app, deploy static site, deploy Azure Functions, bicep deploy, terraform apply. DO NOT USE FOR: creating o

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.

Automate creating a GitHub repository and deploying a web project to Vercel. Use when the user asks to deploy a website/app to production, publish a project, or set up GitHub + Vercel deployment.

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.

This SOP provides a systematic workflow for training and deploying neural networks using Flow Nexus platform with distributed E2B sandboxes. It covers architecture selection, distributed training, ...

Generate and deploy a complete brand asset pack for a Next.js App Router project. Scans the project, prints what to generate with exact specs, then imports and wires everything correctly.

Deploy and manage Vercel projects, domains, environment variables, and serverless functions using the `vercel` CLI.

Model product UI actions from user intent questions after a meaningful outcome, completion, created resource, imported data, uploaded file, synced integration, report, deployment, automation, review state, handoff, or workflow milestone. Use when deciding which actions to show, hide, group, name, prioritize, defer, or place across outcome, item, selection, continuation, navigation, recovery, and a

Specialized ML model development, training, and deployment workflow