ferdousbhai

Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch jobs, scheduling tasks, serving APIs with GPU acceleration, or scaling compute-intensive workloads. Triggers on requests for serverless GPU infrastructure, LLM inference, model training/fine-tuning, parallel data processing, cron jobs in the cloud, or deploying Python web endpoints.

TanStack Start full-stack React framework. Use for: server functions with createServerFn, TanStack Router file-based routing, TanStack Query SSR integration, Cloudflare Workers deployment.

Manage TastyTrade brokerage accounts — monitor portfolios, analyze options with Greeks, place and manage multi-leg orders, and stream real-time market data. Use when the user asks about account balances, positions, options chains, IV rank, order placement, watchlists, or market status.

TanStack Start full-stack React framework. Use for: server functions with createServerFn, TanStack Router file-based routing, TanStack Query SSR integration, Cloudflare Workers deployment.

Build, deploy, and manage AI Agents on Cloudflare using the Agents SDK (package "agents"). Use this skill whenever the user wants to create an AI agent, chat agent, MCP server/client, stateful WebSocket app, or any agentic application on Cloudflare Workers. Trigger on mentions of "Cloudflare agent", "agents SDK", "AIChatAgent", "McpAgent", "Durable Object agent", "remote MCP server", "human-in-the-loop agent", agentic workflows on CF, or deploying agents to Workers. Also trigger when user asks about building stateful AI applications with scheduling, tool calling, state sync, or real-time communication on Cloudflare — even if they don't say "agent" explicitly. If they mention building a chat app with tool use on Workers, or an MCP server on Cloudflare, use this skill.

Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch jobs, scheduling tasks, serving APIs with GPU acceleration, or scaling compute-intensive workloads. Triggers on requests for serverless GPU infrastructure, LLM inference, model training/fine-tuning, parallel data processing, cron jobs in the cloud, or deploying Python web endpoints.

Understand audio and video content. Use when user asks to transcribe, analyze, summarize, or extract information from audio/video files or YouTube URLs. Routes automatically: audio files use local whisper-ctranslate2 (free, fast), video files use Gemini API (visual+audio understanding).

Generate images, videos, and audio using Google's Gemini APIs. Use for image generation/editing (Gemini 3 Pro Image), video generation (Veo 3), and speech (TBD). Trigger words - images: generate, create, draw, design, make, edit, modify image/picture. Video: generate video, create video, animate, make a video. Supports text-to-image, image-to-image editing, text-to-video, and image-to-video.