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chukwumaonyeije
chukwumaonyeijeCOMMUNITY
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pgis

Integrate CGM, HRV, heart rate, sleep, and training load data for daily readiness assessments.

1|Updated Feb 25, 2026
Search Tags:#performance optimization#readiness assessment#HRV#diabetes management#endurance training#glycemic control#CGM
One-click install
npx skills add https://github.com/chukwumaonyeije/pgis-manus-skill --skill pgis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pgis
Source: https://github.com/chukwumaonyeije/pgis-manus-skill/tree/main
Command: npx skills add https://github.com/chukwumaonyeije/pgis-manus-skill --skill pgis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openai, and includes scripts (resource) and references (resource) and templates (resource) components.

What problem does it solve?

This Skill helps endurance athletes with Type 2 diabetes optimize their training by integrating metabolic, cardiac, and recovery data to provide daily readiness assessments and personalized training guidance.

Core Features & Use Cases

  • Daily Readiness Assessments: Get a GREEN/YELLOW/RED status with actionable training recommendations.
  • Training Prescriptions: Receive HR-based workout plans and fueling strategies.
  • Post-Workout Analysis: Review performance and identify optimization opportunities.
  • Audio Summaries: Get podcast-style briefings of your readiness and analysis.
  • Use Case: A user can ask for their daily readiness status, and the Skill will analyze their latest HRV, sleep, glucose trends, and other metrics to provide a clear recommendation on whether to train fully, modify training, or rest.

Quick Start

Ask the pgis skill for your daily readiness status.

Frequently Asked Questions about pgis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I assess training readiness for endurance athletes with Type 2 diabetes?▼

Training readiness for endurance athletes with Type 2 diabetes is assessed by integrating CGM, HRV, heart rate, sleep, and training load data to generate a GREEN/YELLOW/RED status with actionable recommendations.

How do I use HRV and CGM data to optimize glycemic control during endurance training?▼

You can optimize glycemic control during endurance training by integrating continuous glucose monitor and heart rate variability data to generate personalized workout plans and fueling strategies.

Can I use Python scripts to automate readiness assessments and post-workout analysis?▼

Yes, this functionality utilizes Python scripts for parsing data, calculating readiness, and generating audio summaries to automate daily readiness assessments and post-workout analysis.

What is the best way to personalize training prescriptions for diabetic athletes?▼

The best way to personalize training prescriptions for diabetic athletes is to analyze metabolic and cardiac data together, producing heart-rate-based workout plans and specific fueling strategies.

Does pgis require an OpenAI dependency to generate audio summaries?▼

Yes, the system requires an OpenAI dependency and uses Python scripts for audio generation to produce podcast-style briefings of your daily readiness and performance analysis.

How do I perform a clinical performance audit for an athlete managing diabetes?▼

You perform a clinical performance audit by reviewing post-workout data and identifying optimization opportunities based on the integrated analysis of glycemic, cardiac, and recovery metrics.

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