{"owner":"torvalds","repo":"linux","hasSkills":true,"totalSkillsCount":4,"totalTokensCount":1349,"categories":["mcp-config","marketplace","plugin-manifest","cursor-rule"],"hasMcp":true,"mcpConfig":{"mcpServers":{"linux":{"command":"npx","args":["-y","@modelcontextprotocol/server-linux"]}}},"found":[".cursor/mcp.json",".claude-plugin/marketplace.json",".claude-plugin/plugin.json",".cursorrules (linux-nvidia-cuda-python-cursorrules-prompt-file.mdc)"],"skills":{".cursor/mcp.json":"# Model Context Protocol (MCP) Configuration\n\nPath: `.cursor/mcp.json`\n\n[View Raw Content on GitHub](https://raw.githubusercontent.com/torvalds/linux/HEAD/.cursor/mcp.json)",".claude-plugin/marketplace.json":"# Claude Plugin Marketplace Catalog\n\nPath: `.claude-plugin/marketplace.json`\n\n[View Raw Content on GitHub](https://raw.githubusercontent.com/torvalds/linux/HEAD/.claude-plugin/marketplace.json)",".claude-plugin/plugin.json":"# claude-plugin Plugin Manifest\n\nPath: `.claude-plugin/plugin.json`\n\n[View Raw Content on GitHub](https://raw.githubusercontent.com/torvalds/linux/HEAD/.claude-plugin/plugin.json)",".cursorrules (linux-nvidia-cuda-python-cursorrules-prompt-file.mdc)":"---\ndescription: \"Cursor rules for Linux development with NVIDIA CUDA and Python integration.\"\nglobs: **/*\nalwaysApply: false\n---\n1. **Project Overview**:\n\n  - **App Name**: 'srt-model-quantizing'  \n  - **Developer**: SolidRusT Networks  \n  - **Functionality**: A pipeline for downloading models from Hugging Face, quantizing them, and uploading them to a Hugging Face-compatible repository.  \n  - **Design Philosophy**: Focused on simplicity—users should be able to clone the repository, install dependencies, and run the app using Python or Bash with minimal effort.  \n  - **Hardware Compatibility**: Supports both Nvidia CUDA and AMD ROCm GPUs, with potential adjustments needed based on specific hardware and drivers.  \n  - **Platform**: Intended to run on Linux servers only.\n\n2. **Development Principles**:\n\n  - **Efficiency**: Ensure the quantization process is streamlined, efficient, and free of errors.  \n  - **Robustness**: Handle edge cases, such as incompatible models or quantization failures, with clear and informative error messages, along with suggested resolutions.  \n  - **Documentation**: Keep all documentation up to date, including the README.md and any necessary instructions or examples.\n\n3. **AI Agent Alignment**:\n\n  - **Simplicity and Usability**: All development and enhancements should prioritize maintaining the app's simplicity and ease of use.  \n  - **Code Quality**: Regularly review the repository structure, remove dead or duplicate code, address incomplete sections, and ensure the documentation is current.  \n  - **Development-Alignment File**: Use a markdown file to track progress, priorities, and ensure alignment with project goals throughout the development cycle.\n\n4. **Continuous Improvement**:\n\n  - **Feedback**: Actively seek feedback on the app's functionality and user experience.  \n  - **Enhancements**: Suggest improvements that could make the app more efficient or user-friendly, ensuring any changes maintain the app's core principles.  \n  - **Documentation of Changes**: Clearly document any enhancements, bug fixes, or changes made during development to ensure transparency and maintainability.\n"},"files":{".cursor/mcp.json":"# Model Context Protocol (MCP) Configuration\n\nPath: `.cursor/mcp.json`\n\n[View Raw Content on GitHub](https://raw.githubusercontent.com/torvalds/linux/HEAD/.cursor/mcp.json)",".claude-plugin/marketplace.json":"# Claude Plugin Marketplace Catalog\n\nPath: `.claude-plugin/marketplace.json`\n\n[View Raw Content on GitHub](https://raw.githubusercontent.com/torvalds/linux/HEAD/.claude-plugin/marketplace.json)",".claude-plugin/plugin.json":"# claude-plugin Plugin Manifest\n\nPath: `.claude-plugin/plugin.json`\n\n[View Raw Content on GitHub](https://raw.githubusercontent.com/torvalds/linux/HEAD/.claude-plugin/plugin.json)",".cursorrules (linux-nvidia-cuda-python-cursorrules-prompt-file.mdc)":"---\ndescription: \"Cursor rules for Linux development with NVIDIA CUDA and Python integration.\"\nglobs: **/*\nalwaysApply: false\n---\n1. **Project Overview**:\n\n  - **App Name**: 'srt-model-quantizing'  \n  - **Developer**: SolidRusT Networks  \n  - **Functionality**: A pipeline for downloading models from Hugging Face, quantizing them, and uploading them to a Hugging Face-compatible repository.  \n  - **Design Philosophy**: Focused on simplicity—users should be able to clone the repository, install dependencies, and run the app using Python or Bash with minimal effort.  \n  - **Hardware Compatibility**: Supports both Nvidia CUDA and AMD ROCm GPUs, with potential adjustments needed based on specific hardware and drivers.  \n  - **Platform**: Intended to run on Linux servers only.\n\n2. **Development Principles**:\n\n  - **Efficiency**: Ensure the quantization process is streamlined, efficient, and free of errors.  \n  - **Robustness**: Handle edge cases, such as incompatible models or quantization failures, with clear and informative error messages, along with suggested resolutions.  \n  - **Documentation**: Keep all documentation up to date, including the README.md and any necessary instructions or examples.\n\n3. **AI Agent Alignment**:\n\n  - **Simplicity and Usability**: All development and enhancements should prioritize maintaining the app's simplicity and ease of use.  \n  - **Code Quality**: Regularly review the repository structure, remove dead or duplicate code, address incomplete sections, and ensure the documentation is current.  \n  - **Development-Alignment File**: Use a markdown file to track progress, priorities, and ensure alignment with project goals throughout the development cycle.\n\n4. **Continuous Improvement**:\n\n  - **Feedback**: Actively seek feedback on the app's functionality and user experience.  \n  - **Enhancements**: Suggest improvements that could make the app more efficient or user-friendly, ensuring any changes maintain the app's core principles.  \n  - **Documentation of Changes**: Clearly document any enhancements, bug fixes, or changes made during development to ensure transparency and maintainability.\n"},"items":[{"name":"marketplace.json","path":".claude-plugin/marketplace.json","rawUrl":"https://raw.githubusercontent.com/torvalds/linux/HEAD/.claude-plugin/marketplace.json","title":"Claude Plugin Marketplace Catalog","category":"marketplace","format":"json","content":"# Claude Plugin Marketplace Catalog\n\nPath: `.claude-plugin/marketplace.json`\n\n[View Raw Content on GitHub](https://raw.githubusercontent.com/torvalds/linux/HEAD/.claude-plugin/marketplace.json)","tokens":300,"sizeBytes":193},{"name":"plugin.json","path":".claude-plugin/plugin.json","rawUrl":"https://raw.githubusercontent.com/torvalds/linux/HEAD/.claude-plugin/plugin.json","title":"claude-plugin Plugin Manifest","category":"plugin-manifest","format":"json","content":"# claude-plugin Plugin Manifest\n\nPath: `.claude-plugin/plugin.json`\n\n[View Raw Content on GitHub](https://raw.githubusercontent.com/torvalds/linux/HEAD/.claude-plugin/plugin.json)","tokens":300,"sizeBytes":179},{"name":"mcp.json","path":".cursor/mcp.json","rawUrl":"https://raw.githubusercontent.com/torvalds/linux/HEAD/.cursor/mcp.json","title":"Model Context Protocol (MCP) Configuration","category":"mcp-config","format":"json","content":"# Model Context Protocol (MCP) Configuration\n\nPath: `.cursor/mcp.json`\n\n[View Raw Content on GitHub](https://raw.githubusercontent.com/torvalds/linux/HEAD/.cursor/mcp.json)","tokens":300,"sizeBytes":172},{"name":".cursorrules","path":".cursorrules (linux-nvidia-cuda-python-cursorrules-prompt-file.mdc)","rawUrl":"https://raw.githubusercontent.com/PatrickJS/awesome-cursorrules/main/rules/linux-nvidia-cuda-python-cursorrules-prompt-file.mdc","title":"Awesome Cursorrules: linux nvidia cuda python","category":"cursor-rule","format":"markdown","content":"---\ndescription: \"Cursor rules for Linux development with NVIDIA CUDA and Python integration.\"\nglobs: **/*\nalwaysApply: false\n---\n1. **Project Overview**:\n\n  - **App Name**: 'srt-model-quantizing'  \n  - **Developer**: SolidRusT Networks  \n  - **Functionality**: A pipeline for downloading models from Hugging Face, quantizing them, and uploading them to a Hugging Face-compatible repository.  \n  - **Design Philosophy**: Focused on simplicity—users should be able to clone the repository, install dependencies, and run the app using Python or Bash with minimal effort.  \n  - **Hardware Compatibility**: Supports both Nvidia CUDA and AMD ROCm GPUs, with potential adjustments needed based on specific hardware and drivers.  \n  - **Platform**: Intended to run on Linux servers only.\n\n2. **Development Principles**:\n\n  - **Efficiency**: Ensure the quantization process is streamlined, efficient, and free of errors.  \n  - **Robustness**: Handle edge cases, such as incompatible models or quantization failures, with clear and informative error messages, along with suggested resolutions.  \n  - **Documentation**: Keep all documentation up to date, including the README.md and any necessary instructions or examples.\n\n3. **AI Agent Alignment**:\n\n  - **Simplicity and Usability**: All development and enhancements should prioritize maintaining the app's simplicity and ease of use.  \n  - **Code Quality**: Regularly review the repository structure, remove dead or duplicate code, address incomplete sections, and ensure the documentation is current.  \n  - **Development-Alignment File**: Use a markdown file to track progress, priorities, and ensure alignment with project goals throughout the development cycle.\n\n4. **Continuous Improvement**:\n\n  - **Feedback**: Actively seek feedback on the app's functionality and user experience.  \n  - **Enhancements**: Suggest improvements that could make the app more efficient or user-friendly, ensuring any changes maintain the app's core principles.  \n  - **Documentation of Changes**: Clearly document any enhancements, bug fixes, or changes made during development to ensure transparency and maintainability.\n","tokens":449,"sizeBytes":2182}],"systemPromptSnippet":"<yakaai_skills repo=\"torvalds/linux\">\n<!-- File: .claude-plugin/marketplace.json (Tokens: ~300 | Category: marketplace) -->\n# Claude Plugin Marketplace Catalog\n\nPath: `.claude-plugin/marketplace.json`\n\n[View Raw Content on GitHub](https://raw.githubusercontent.com/torvalds/linux/HEAD/.claude-plugin/marketplace.json)\n\n<!-- File: .claude-plugin/plugin.json (Tokens: ~300 | Category: plugin-manifest) -->\n# claude-plugin Plugin Manifest\n\nPath: `.claude-plugin/plugin.json`\n\n[View Raw Content on GitHub](https://raw.githubusercontent.com/torvalds/linux/HEAD/.claude-plugin/plugin.json)\n\n<!-- File: .cursor/mcp.json (Tokens: ~300 | Category: mcp-config) -->\n# Model Context Protocol (MCP) Configuration\n\nPath: `.cursor/mcp.json`\n\n[View Raw Content on GitHub](https://raw.githubusercontent.com/torvalds/linux/HEAD/.cursor/mcp.json)\n\n<!-- File: .cursorrules (linux-nvidia-cuda-python-cursorrules-prompt-file.mdc) (Tokens: ~449 | Category: cursor-rule) -->\n---\ndescription: \"Cursor rules for Linux development with NVIDIA CUDA and Python integration.\"\nglobs: **/*\nalwaysApply: false\n---\n1. **Project Overview**:\n\n  - **App Name**: 'srt-model-quantizing'  \n  - **Developer**: SolidRusT Networks  \n  - **Functionality**: A pipeline for downloading models from Hugging Face, quantizing them, and uploading them to a Hugging Face-compatible repository.  \n  - **Design Philosophy**: Focused on simplicity—users should be able to clone the repository, install dependencies, and run the app using Python or Bash with minimal effort.  \n  - **Hardware Compatibility**: Supports both Nvidia CUDA and AMD ROCm GPUs, with potential adjustments needed based on specific hardware and drivers.  \n  - **Platform**: Intended to run on Linux servers only.\n\n2. **Development Principles**:\n\n  - **Efficiency**: Ensure the quantization process is streamlined, efficient, and free of errors.  \n  - **Robustness**: Handle edge cases, such as incompatible models or quantization failures, with clear and informative error messages, along with suggested resolutions.  \n  - **Documentation**: Keep all documentation up to date, including the README.md and any necessary instructions or examples.\n\n3. **AI Agent Alignment**:\n\n  - **Simplicity and Usability**: All development and enhancements should prioritize maintaining the app's simplicity and ease of use.  \n  - **Code Quality**: Regularly review the repository structure, remove dead or duplicate code, address incomplete sections, and ensure the documentation is current.  \n  - **Development-Alignment File**: Use a markdown file to track progress, priorities, and ensure alignment with project goals throughout the development cycle.\n\n4. **Continuous Improvement**:\n\n  - **Feedback**: Actively seek feedback on the app's functionality and user experience.  \n  - **Enhancements**: Suggest improvements that could make the app more efficient or user-friendly, ensuring any changes maintain the app's core principles.  \n  - **Documentation of Changes**: Clearly document any enhancements, bug fixes, or changes made during development to ensure transparency and maintainability.\n</yakaai_skills>"}