To test an exported production bundle instead:
Guidelines for creating API routes in Expo Router with EAS Hosting
5,206,805 AI resources indexedWorking toward the world’s largest AI resource index.
Reusable instructions for compatible AI agents.
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Guidelines for creating API routes in Expo Router with EAS Hosting
Generate professional game character designs via OpenAI Images API. Create diverse characters for RPGs, video games, tabletop games, and interactive media. Use when user needs character concept art, character portraits, game sprites, or character sheets with specific attributes like race, class, ...
Use when working on Slack agent/bot code, Chat SDK applications, Bolt for JavaScript projects, or projects using @chat-adapter/slack or @slack/bolt. Provides development patterns, testing requirements, and quality standards.
Guidelines for creating API routes in Expo Router with EAS Hosting
Guidelines for creating API routes in Expo Router with EAS Hosting
Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster inference than PyTorch, or for serving models with quantization (FP8/INT4), in-flight batching, and multi-GPU scaling.
Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster inference than PyTorch, or for serving models with quantization (FP8/INT4), in-flight batching, and multi-GPU scaling.
An MCP server that provides on-demand skill loading for AI coding assistants.
An MCP server that provides on-demand skill loading for AI coding assistants.
An MCP server that provides on-demand skill loading for AI coding assistants.
Guidelines for creating API routes in Expo Router with EAS Hosting
Build AI agents, multi-agent teams, and agentic workflows using the Agno framework. MANDATORY TRIGGERS: Agno, agno-agi, AgentOS, any mention of the Agno framework. Also trigger when the user wants to build AI agents with tools/memory/knowledge, create multi-agent systems, RAG pipelines, reasoning...
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