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race-projection-skill

Calculate race pacing scenarios and cutoff times from athlete and weather data.

Updated Aug 27, 2026
Search Tags:#performance optimization#race pacing#pacing scenarios#cutoff times#race strategy
One-click install
npx skills add https://github.com/JJDevPro/senpai-ai-chat --skill race-projection-skill
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: race-projection-skill
Source: https://github.com/JJDevPro/senpai-ai-chat/tree/main/.claude/skills/race-projection-skill
Command: npx skills add https://github.com/JJDevPro/senpai-ai-chat --skill race-projection-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pypdf, pdfplumber, pdf2image, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides detailed race pacing projections and cutoff calculations to help athletes optimize their race strategies and performance.

Core Features & Use Cases

  • Pacing Scenarios: Offers four pacing scenarios (Best, Realistic, Conservative, Cutoff) based on the athlete's current fitness and race conditions.
  • Cutoff Calculation: Calculates cutoff times for different race scenarios, considering various factors like weather, weight, and decoupling.
  • Pace Band Visualization: Provides a visual representation of pace bands against target times for better understanding and planning.
  • Decoupling Quotient: Utilizes a decoupling quotient to ensure accuracy in pacing projections, considering valid long-run data.
  • Cardio vs. Neuromuscular Analysis: Diagnoses pace breakdowns by distinguishing between cardio and neuromuscular factors, aiding in recovery and training strategies.

Quick Start

Use the race-projection-skill to get pacing scenarios and cutoff times for your upcoming half marathon.

Frequently Asked Questions about race-projection-skill

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

FAQPage Schema
How do I calculate race pacing scenarios and cutoff times for a half marathon?▼

Calculate race pacing scenarios by processing athlete data, race specifics, and weather conditions to output four distinct projections: best, realistic, conservative, and cutoff times for your event.

What is a decoupling quotient and how does it affect race pacing projections?▼

A decoupling quotient analyzes valid long-run data to distinguish between cardio and neuromuscular pace breakdown factors, ensuring your race pacing projections remain accurate under fatigue conditions.

How do I generate a pace band visualization for race strategy planning?▼

Generate a pace band visualization by inputting personal training data and environmental conditions, producing a visual map of your pacing scenarios against target times for race strategy planning.

Can I diagnose cardio versus neuromuscular pace breakdowns using personal training data?▼

Diagnose cardio versus neuromuscular pace breakdowns by processing personal training data with the decoupling quotient, distinguishing between the two factors to guide recovery and training strategies.

Do I need weather information to calculate accurate race cutoff times?▼

Weather information is required to calculate accurate race cutoff times, as environmental conditions are processed alongside weight and decoupling factors to adjust your pacing scenarios.

What's the best way to adjust race strategy for varying weather conditions and athlete weight?▼

Adjust race strategy by inputting weather conditions and athlete weight into the projection calculator, which modifies your pacing scenarios and cutoff times to reflect environmental and physical impacts.

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