skills.rest
CrankAddict
CrankAddictCOMMUNITY
Explore all skills by this author →
GitHub

section-11

Analyze Intervals.icu training data to generate readiness assessments and workout plans.

126|77|Updated Jan 20, 2026
Search Tags:#performance optimization#data analysis#ai coaching#endurance training#intervals.icu#section 11 protocol
One-click install
npx skills add https://github.com/CrankAddict/section-11 --skill section-11
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: section-11
Source: https://github.com/CrankAddict/section-11/tree/main
Command: npx skills add https://github.com/CrankAddict/section-11 --skill section-11

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, json, os, argparse, datetime, timedelta, base64, math, statistics, hashlib, zipfile, tempfile, shutil, atexit, collections, pathlib, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides a structured framework for AI systems to deliver deterministic, auditable, and evidence-based endurance coaching, transforming raw training data into actionable insights and personalized guidance.

Core Features & Use Cases

  • Deterministic Coaching: Ensures consistent recommendations based on scientific models and athlete data.
  • Data Integration: Connects with Intervals.icu via automated sync or manual export for comprehensive training analysis.
  • Use Case: An athlete can paste a prompt like "What's my workout today?" into their AI coach, and receive a readiness assessment, planned workout details, and a go/modify/skip recommendation based on their latest training data and the Section 11 protocol.

Quick Start

Use the section-11 skill to analyze my training data and tell me my readiness for today's workout.

Frequently Asked Questions about section-11

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

FAQPage Schema
How do I use AI for endurance training analysis with Intervals.icu data?▼

AI endurance coaching analyzes your Intervals.icu data by syncing training history to generate deterministic readiness assessments, planned workout details, and go/modify/skip recommendations based on established protocols.

What is a deterministic AI coaching protocol for performance optimization?▼

A deterministic AI coaching protocol ensures consistent, auditable training recommendations by applying scientific models to athlete data, transforming raw metrics into evidence-based guidance rather than subjective estimates.

How do I assess workout readiness using my training history data?▼

Workout readiness assessment processes your training history through structured JSON schemas to evaluate fatigue and fitness, returning a clear go, modify, or skip recommendation for your planned session.

Can I integrate Intervals.icu data automatically for training plan generation?▼

Yes, you can integrate Intervals.icu data automatically using the sync script to pull readiness, history, and interval data, or you can manually export your data for the coaching protocol to process.

Does this AI endurance coaching approach require specific data formats?▼

Yes, the coaching protocol requires specific JSON schemas for readiness, history, and interval data, alongside standard Python libraries for data processing to execute the validation and generation protocols.

What are the limitations of automated AI endurance coaching protocols?▼

Automated AI endurance coaching limitations include strict dependency on specific JSON schemas for data validation and the need for Python library environments to process Intervals.icu data and execute the protocol correctly.

Related Skills

Explore More Personal & Entrepreneur Skills→
THUFanZdTHUFanZd

training-check

Monitor WandB metrics to detect NaN, divergence, or idle GPUs.

Community
Advanced
MetriLLMMetriLLM
5

metrillm

Benchmark local LLMs for performance, quality, and RAM compatibility.

Official
Intermediate
michellepellonmichellepellon

quick-descriptive-stats

Analyze CSV files to generate statistics and visualizations.

Community
Intermediate
cbcrukcbcruk

run

Analyze FIT file running data to evaluate heart rate zones and pace consistency.

Community
Advanced