A professional CLI tool for managing Intervals.icu activities, workouts, calendar events, and wellness metrics through automated workflows.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install intervals-icu-cli
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install intervals-icu-cli using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Intervals.icu CLI skill provides a robust bridge between AI agents and the Intervals.icu platform, a favorite for endurance athletes and coaches. By integrating the intervals binary, this skill allows for granular control over training data, from querying historical performance to scheduling complex workout structures. As a key component within the Openclaw Skills ecosystem, it enables developers and power users to automate fitness management using developer-friendly patterns.
This skill is designed for high reliability, favoring JSON-formatted output and absolute date precision. Whether you are building a custom coaching dashboard or automating your personal training log, this tool ensures that your data interactions are structured, predictable, and highly efficient.
To deploy this skill within your Openclaw Skills environment, ensure the intervals binary is accessible in your path.
export INTERVALS_API_KEY='your_api_key_here'
intervals --version
intervals auth status
The skill organizes interaction around four primary data entities, consistently preferring JSON for input and output.
| Entity | Purpose | Key Attributes |
|---|---|---|
| Activity | Historical data records | id, name, type, distance, moving_time, tags |
| Event | Scheduled calendar items | id, type, start_date_local, workout_id |
| Workout | Library templates | id, name, description, steps, indoor_control |
| Wellness | Daily health tracking | id, weight, hrv, sleep, motivation |
All writes follow a JSON-first pattern to maintain high data integrity across the platform.
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