How does it decide if I should work out or rest?

It uses a tiered logic system: Readiness over 85 suggests high intensity is okay, while scores below 50 or high recovery times trigger a rest day recommendation.

Which wearable devices does this skill support?

This skill specifically integrates with Oura and Garmin via MCP servers to pull metrics like readiness scores, HRV balance, training load, and recovery time.

Can I use this for long-term health tracking?

Yes, the skill is capable of pulling 7-14 day trends to compare your current recovery window against prior baselines for weekly or monthly reviews.

What happens if my Oura and Garmin data disagree?

The skill follows a conservative safety protocol, defaulting to the more cautious recommendation to prevent overtraining when device signals are conflicting.

Body Recovery Analyst

Name: Body Recovery Analyst
Author: Rachnog

byRachnog

•

分析与监控

Provides data-driven athletic recovery analysis and training readiness recommendations using Oura and Garmin biometric metrics.

The Body Recovery Analyst is a specialized specialist for Claude Code designed to optimize training schedules through biometric data synthesis. By integrating real-time data from Oura and Garmin via MCP servers, it evaluates heart rate variability (HRV), sleep quality, and training stress balance to provide defensible readiness calls. The skill applies structured logic to determine whether a user is prepared for high-intensity training or requires a rest day, ensuring that physical activity aligns with long-term health protocols and numerical performance targets while identifying patterns in sleep-training impacts.

主要功能

01Cross-referenced sleep-impact analysis on recovery metrics

02Automated readiness scoring with conservative recommendation logic

033 GitHub stars

04Multi-device biometric integration with Oura and Garmin MCP servers

057-14 day recovery trend analysis and window comparisons

06Structured reporting including key drivers, trend context, and goal alignment

使用场景

01Determining daily training intensity based on biometric recovery markers

02Auditing long-term overtraining risks by comparing recent metrics against baselines

03Resolving conflicting readiness signals between multiple wearable devices

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add rachnog/alex-honchar-claude-for-life body-recovery

For use in Claude.ai and ChatGPT

主要功能

01Cross-referenced sleep-impact analysis on recovery metrics

02Automated readiness scoring with conservative recommendation logic

033 GitHub stars

04Multi-device biometric integration with Oura and Garmin MCP servers

057-14 day recovery trend analysis and window comparisons

06Structured reporting including key drivers, trend context, and goal alignment

使用场景

01Determining daily training intensity based on biometric recovery markers

02Auditing long-term overtraining risks by comparing recent metrics against baselines

03Resolving conflicting readiness signals between multiple wearable devices

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add rachnog/alex-honchar-claude-for-life body-recovery

For use in Claude.ai and ChatGPT