Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Generates personalized training plans for triathlons, marathons, and ultra-endurance events. Connects to Strava to analyze training history, or gathers fitness data through conversation. Outputs a periodized plan with sport-specific workouts, training zones, and a race-day pacing and nutrition strategy.
Produces professional-grade periodized plans with zone prescriptions and race execution guidance without requiring a human coach or a platform subscription.
When to use it
- Building a 20-week Ironman 70.3 training plan
- Setting accurate bike and run zones from Strava history
- Preparing a race-day pacing and nutrition strategy
- Creating a first triathlon schedule without a Strava account
- Adjusting training load after returning from injury
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Build me a 16-week plan for my first Olympic triathlon on June 15
- 1Asks whether to pull data from Strava or enter fitness details manually
- 2Gathers current weekly training hours, recent race times, and schedule constraints
- 3Calculates training zones for swim, bike, and run based on provided benchmarks
- 4Structures a periodized plan across base, build, and taper phases
- 5Writes the plan as a JSON file and renders it as an interactive HTML calendar
A 16-week training plan with day-by-day workouts, zone targets, weekly summaries, and a race-day pacing guide, viewable in a browser
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.