This skill introduces how to monetize offline training; it is called when you plan to engage in or optimize offline training.
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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 offline-trainingOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install offline-trainingβ 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/offline-training/π‘Extract and place the folder at the path above, then restart your agent.
Category
π οΈGeneral ToolsPlatforms
What Offline training can do for your AI workflow
This skill introduces how 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 Offline training
Help me get started with Offline training
Explains what Offline training does, walks through the setup, and runs a quick demo based on your current project
Use Offline training to this skill introduces how to monetize offline training; it is calle...
Invokes Offline training with the right parameters and returns the result directly in the conversation
What can I do with Offline training in my general tools workflow?
Lists the top use cases for Offline training, with example commands for each scenario
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Offline training extends your AI assistant with the ability to this skill introduces how to monetize offline training; it is called when you plan to engage in or optimize offline training. 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 Offline training as its underlying capability.
Offline training 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 Offline training 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 Offline training takes about two minutes. Place the skill at `~/.claude/skills/offline-training/` (personal, all projects) or `.claude/skills/offline-training/` (project-specific), then restart your AI client. From that point, typing `/offline-training` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Offline training has 148 installs and is part of the growing General Tools 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/offline-training/ for personal use (all projects), or .claude/skills/offline-training/ for project-specific use. Restart your AI client, then invoke with /offline-training or let the AI discover it automatically.
Offline training supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Offline training is free to install. Check the repository for licensing information.
This skill introduces how to monetize offline training; it is called when you plan to engage in or optimize offline training.
TrainingPeaks
Pull real-time training plans, workouts, fitness metrics (CTL/ATL/TSB), and personal records from TrainingPeaks. Uses cookie-based authentication (no API key needed). Use in conjunction with other endurance, cycling, running or swimming triathlon coach skills for best results.
Offline Llama
Manage local Ollama models autonomously with health monitoring, automatic fallback, self-healing, and offline operation without internet dependency.
Training Manager
Manage and optimize your OpenClaw training workspace -- scaffold files, generate skills, log training sessions, and validate workspace structure.
Automate my general tools tasks using Offline training
Identifies repetitive steps in your workflow and sets up Offline training to handle them automatically
Offline training is categorized under General Tools. These skills help AI agents perform specialized tasks in this domain.