Use whoop-cli to fetch WHOOP data, generate day briefs/health flags, and export trend data for automation workflows.
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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 whoop-cliOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install whoop-cliβ 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/whoop-cli/π‘Extract and place the folder at the path above, then restart your agent.
Category
πData & AnalyticsPlatforms
What WHOOP CLI for Agents can do for your AI workflow
Whoop-cli to fetch whoop data, 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 WHOOP CLI for Agents
Help me get started with WHOOP CLI for Agents
Explains what WHOOP CLI for Agents does, walks through the setup, and runs a quick demo based on your current project
Use WHOOP CLI for Agents to use whoop-cli to fetch WHOOP data, generate day briefs/health flags...
Invokes WHOOP CLI for Agents with the right parameters and returns the result directly in the conversation
What can I do with WHOOP CLI for Agents in my data & analytics workflow?
Lists the top use cases for WHOOP CLI for Agents, with example commands for each scenario
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WHOOP CLI for Agents extends your AI assistant with the ability to use whoop-cli to fetch WHOOP data, generate day briefs/health flags, and export trend data for automation workflows. 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 WHOOP CLI for Agents as its underlying capability.
WHOOP CLI for Agents 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 WHOOP CLI for Agents 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 WHOOP CLI for Agents, copy the skill folder to `~/.claude/skills/whoop-cli/` for use across all your projects, or `.claude/skills/whoop-cli/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/whoop-cli` or just describe your goal and the AI will pick it up automatically.
WHOOP CLI for Agents has 662 installs and is part of the growing Data & Analytics 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/whoop-cli/ for personal use (all projects), or .claude/skills/whoop-cli/ for project-specific use. Restart your AI client, then invoke with /whoop-cli or let the AI discover it automatically.
WHOOP CLI for Agents supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
WHOOP CLI for Agents is free to install. Check the repository for licensing information.
Use whoop-cli to fetch WHOOP data, generate day briefs/health flags, and export trend data for automation workflows.
Agent manager
Manage Clawdbot agents: discover, profile, track capabilities, define routing hierarchy, and assign tasks. Use when: (1) Listing available agents, (2) Profiling agent capabilities and communication methods, (3) Defining agent routing (can_assign_to, reports_to, escalation_path), (4) Assigning tasks to appropriate agents, (5) Tracking agent performance and completed work, (6) Updating agent registry after changes.
AgentSentinel Safety Layer
Local-first budget and policy guardrails for agent actions, with optional remote sync to AgentSentinel.
Whoop
Access Whoop wearable health data (sleep, recovery, strain, HRV, workouts) and generate interactive charts. Use when the user asks about sleep quality, recovery scores, strain levels, HRV trends, workout data, or wants health visualizations/graphs from their Whoop band.
Links
Automate my data & analytics tasks using WHOOP CLI for Agents
Identifies repetitive steps in your workflow and sets up WHOOP CLI for Agents to handle them automatically
WHOOP CLI for Agents is categorized under Data & Analytics. These skills help AI agents perform specialized tasks in this domain.