section-11

What This Skill Does

Section 11 is an evidence-based endurance cycling coaching protocol (v11.10) designed to transform OpenClaw into a high-performance training companion. It functions by synthesizing real-time athlete data—specifically training load, performance metrics, and physiological markers—with a structured coaching methodology. The skill mandates a rigorous setup process to ensure the AI operates with accurate, context-aware information, starting with the creation of an athlete dossier, a heartbeat configuration for scheduling and environmental constraints, and a secure data pipeline from platforms like Intervals.icu.

Installation

To integrate this protocol, run the following command in your terminal: clawhub install openclaw/skills/skills/crankaddict/section11 After installation, verify that the DOSSIER.md and HEARTBEAT.md files are initialized in your project workspace as per the documentation. Ensure your data sources are mapped correctly to latest.json and history.json to allow the agent to fetch necessary performance telemetry.

Use Cases

• Pre-Workout Preparation: Analyze your daily readiness score, current CTL/ATL/TSB, and local weather forecasts to determine if you should execute a hard interval session or a recovery ride.
• Longitudinal Trend Analysis: Review 90-day training history to identify fatigue plateaus, progression in power zones, or signs of overreaching.
• Post-Workout Review: Input your latest ride file data to reconcile perceived exertion with actual power data, ensuring the workload aligns with your current training block goals.
• Dynamic Scheduling: Use the heartbeat configuration to plan outdoor rides around wind, rain, and temperature thresholds while adhering to specific training time windows.

Example Prompts

1. "Based on my latest.json, is my current TSB trending towards an overreach state, and should I adjust my intensity for tomorrow's interval session?"
2. "Review my 90-day history in history.json and compare my CTL progression against my phase-specific goals outlined in DOSSIER.md."
3. "Given the current weather forecast in my HEARTBEAT.md and my scheduled VO2 max session, should I move this workout to the trainer or ride outside?"

Tips & Limitations

Always prioritize data hierarchy: fetch latest.json before any advice is given. Avoid performing virtual math on pre-computed metrics; rely on the provided JSON values for accurate reporting. Remember that the AI acts as an assistant within the Section 11 framework—always cross-reference critical training decisions with your physical fatigue levels and the provided C-validation checklist. If the dossier or heartbeat configuration is missing, the agent will pause coaching to prevent providing unoptimized guidance. Regular data syncing is required to maintain the accuracy of the 7-day and 28-day derived metrics.