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Source channel @githubtrending · Post #14985 · Jul 22

#c_lang#cuda#cuda_driver_api#cuda_kernels#cuda_opengl You can use the CUDA Samples from NVIDIA to learn and test CUDA Toolkit 12.9 features by downloading them from GitHub or as a ZIP file. These samples show how to use CUDA for GPU programming, including utilities, concepts, libraries, and performance optimization. You build them with CMake on Linux, Windows, or Tegra devices, and can run tests automatically with a provided Python script. This helps you understand CUDA programming, debug GPU code, and optimize your applications for better performance on NVIDIA GPUs. It’s a practical way to develop and improve GPU-accelerated software efficiently. https://github.com/NVIDIA/cuda-samples

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@githubtrending · Post #15478 · 02/07/2026, 01:30 PM

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#python#agent_skills#ai_agents#antigravity#automation#claude#claude_code#codex#composio#cursor#gemini_cli#mcp#rube#saas#skill#workflow_automation Claude Skills are customizable workflows that boost productivity on Claude.ai, Claude Code, and API by handling tasks like document editing, code development, data analysis, app automation (emails, Slack, GitHub via Composio's 500+ integrations), and more. Install the connect-apps plugin, add your free Composio API key, and restart to enable real actions across 1000+ apps. This saves time, automates repetitive work, and lets you focus on high-value tasks for faster, consistent results everywhere you use Claude. https://github.com/ComposioHQ/awesome-claude-skills

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#python #agent_skills #ai_agents #antigravity #automation #claude #claude_code #codex #composio #cursor #gemini_cli #mcp #rube #saas #skill #workflow_automation