endurance-coach

What This Skill Does

The Endurance Coach skill is an advanced AI-driven training companion designed to generate, manage, and optimize multi-sport training programs for endurance athletes. Whether you are training for a local 5K, a marathon, an Ironman, or an ultra-distance mountain race, this skill creates periodized, progressive schedules tailored to your unique physiological profile and time availability.

The skill functions as a personal coach, utilizing a sophisticated 'Athlete_Context' framework. Instead of generic templates, it references your historical training data (via Strava integration or manual inputs) to ensure every workout serves your primary goals. It manages heart rate or power-based zones, structures taper phases, and builds recovery blocks to prevent overtraining.

Installation

To begin, ensure you have the OpenClaw environment initialized. Run the following command in your terminal: clawhub install openclaw/skills/skills/shiv19/endurance-coach

Once installed, the skill will automatically check your local directory for an Athlete_Context.md file. If not detected, the skill will prompt you to run a setup interview to establish your training baseline.

Use Cases

• Race Preparation: Creating a 16-week lead-up schedule for a specific marathon date.
• Load Management: Adjusting your weekly training volume based on professional, family, or personal fatigue factors.
• Performance Analysis: Reviewing recent Strava data to identify training plateaus or inconsistencies in your zone distribution.
• Strategy Planning: Developing race-day fueling and pacing strategies based on course topography and expected weather conditions.

Example Prompts

1. "I have a goal marathon in 14 weeks. Please analyze my current Strava activity from the last month and propose a 3-phase periodized plan that peaks for race day."
2. "I'm feeling fatigued after my long ride this weekend. Looking at my recent context, how should I adjust my Tuesday interval session?"
3. "Create a 4-week base-building cycle for an ultra-marathon, keeping my training volume under 8 hours per week due to work constraints."

Tips & Limitations

• Keep Context Updated: Regularly update your Athlete_Context.md file after major races or lifestyle shifts to ensure the AI's recommendations remain accurate.
• Manual Data: If you do not use Strava, ensure you provide clear, chronological data regarding your recent sessions, including duration, RPE (Rate of Perceived Exertion), and heart rate if available.
• Safety: Always listen to your body; AI-generated plans are suggestions. If you experience acute pain or signs of overtraining, prioritize rest and consult a medical professional.