Unified GPU kernel operator generation skill. Automatically detects the target repository type (FlagGems, vLLM, or general Python/Triton) and dispatches to t...
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install kernelgen-flagosOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install kernelgen-flagosβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/kernelgen-flagos/π‘Extract and place the folder at the path above, then restart your agent.
Category
π»Developer & DevOpsPlatforms
What KernelGen FlagOS can do for your AI workflow
Unified gpu kernel operator directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing KernelGen FlagOS
Help me get started with KernelGen FlagOS
Explains what KernelGen FlagOS does, walks through the setup, and runs a quick demo based on your current project
Use KernelGen FlagOS to unified GPU kernel operator generation skill
Invokes KernelGen FlagOS with the right parameters and returns the result directly in the conversation
What can I do with KernelGen FlagOS in my developer & devops workflow?
Lists the top use cases for KernelGen FlagOS, with example commands for each scenario
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KernelGen FlagOS extends your AI assistant with the ability to unified GPU kernel operator generation skill. Automatically detects the target repository type (FlagGems, vLLM, or general Python/Triton) and dispatches to t... Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using KernelGen FlagOS as its underlying capability.
KernelGen FlagOS works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install KernelGen FlagOS once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Getting started with KernelGen FlagOS takes about two minutes. Place the skill at `~/.claude/skills/kernelgen-flagos/` (personal, all projects) or `.claude/skills/kernelgen-flagos/` (project-specific), then restart your AI client. From that point, typing `/kernelgen-flagos` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
KernelGen FlagOS has 85 installs and is part of the growing Developer & DevOps skill ecosystem on DiscoverAISkills. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/kernelgen-flagos/ for personal use (all projects), or .claude/skills/kernelgen-flagos/ for project-specific use. Restart your AI client, then invoke with /kernelgen-flagos or let the AI discover it automatically.
KernelGen FlagOS supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
KernelGen FlagOS is free to install. Check the repository for licensing information.
Unified GPU kernel operator generation skill. Automatically detects the target repository type (FlagGems, vLLM, or general Python/Triton) and dispatches to t...
Automate my developer & devops tasks using KernelGen FlagOS
Identifies repetitive steps in your workflow and sets up KernelGen FlagOS to handle them automatically
KernelGen FlagOS is categorized under Developer & DevOps. These skills help AI agents perform specialized tasks in this domain.