Detect local hardware (RAM, CPU, GPU/VRAM) and recommend the best-fit local LLM models with optimal quantization, speed estimates, and fit scoring.
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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 llmfitOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install llmfitβ 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/llmfit/π‘Extract and place the folder at the path above, then restart your agent.
Category
πFinance & InvestmentPlatforms
What llmfit can do for your AI workflow
Detect local hardware 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 llmfit
Help me get started with llmfit
Explains what llmfit does, walks through the setup, and runs a quick demo based on your current project
Use llmfit to detect local hardware (RAM, CPU, GPU/VRAM) and recommend the best-f...
Invokes llmfit with the right parameters and returns the result directly in the conversation
What can I do with llmfit in my finance & investment workflow?
Lists the top use cases for llmfit, with example commands for each scenario
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llmfit extends your AI assistant with the ability to detect local hardware (RAM, CPU, GPU/VRAM) and recommend the best-fit local LLM models with optimal quantization, speed estimates, and fit scoring. 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 llmfit as its underlying capability.
llmfit 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 llmfit 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.
To install llmfit, copy the skill folder to `~/.claude/skills/llmfit/` for use across all your projects, or `.claude/skills/llmfit/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/llmfit` or just describe your goal and the AI will pick it up automatically.
llmfit has 910 installs and is part of the growing Finance & Investment skill ecosystem on DiscoverAISkills. The source code is open on GitHub β you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. 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/llmfit/ for personal use (all projects), or .claude/skills/llmfit/ for project-specific use. Restart your AI client, then invoke with /llmfit or let the AI discover it automatically.
llmfit supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
llmfit is free to install. Check the repository for licensing information.
Detect local hardware (RAM, CPU, GPU/VRAM) and recommend the best-fit local LLM models with optimal quantization, speed estimates, and fit scoring.
Links
Automate my finance & investment tasks using llmfit
Identifies repetitive steps in your workflow and sets up llmfit to handle them automatically
llmfit is categorized under Finance & Investment. These skills help AI agents perform specialized tasks in this domain.