Analytics Interpretation Skill

Interpret weeklyVolumes, vo2maxTrend, activities, and athleteContext into Markdown coaching assessments.

Updated Jan 26, 2026
One-click install
npx skills add https://github.com/pablovilas/pacecraft --skill analytics-interpretation-skill
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Analytics Interpretation Skill
Source: https://github.com/pablovilas/pacecraft/tree/main/skills/analytics-interpretation
Command: npx skills add https://github.com/pablovilas/pacecraft --skill analytics-interpretation-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Translates raw training analytics into context-aware coaching insights, turning numbers into actionable guidance tailored to the athlete's situation.

Core Features & Use Cases

  • Context-aware interpretation of VO2max, volume trends, and heart-rate data aligned with the athlete's experience, phase, and goals.
  • Coaching rationale that explains the "why" behind recommendations and prescribes concrete next steps for road or trail training.
  • Use Case: Given a dataset showing VO2max stability with rising weekly volume, provide guidance on sustaining progress while avoiding overtraining.

Quick Start

Provide a sample analytics payload and receive a coach-like interpretation with recommended next steps.

Frequently Asked Questions about Analytics Interpretation Skill

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

FAQPage Schema
How do I interpret VO2max trends alongside weekly volume changes for running training?

Interpreting VO2max trends with volume changes involves analyzing raw analytics data to provide context-aware coaching assessments. It evaluates whether rising weekly volume sustains VO2max stability or risks overtraining, outputting Markdown guidance with recommended next steps.

What is heart-rate intensity analysis and how does it work for trail runners?

Heart-rate intensity analysis applies HR zones to raw running data to evaluate training load distribution. For trail runners, it interprets activities and athlete context to assess whether heart-rate intensity aligns with phase-based goals and experience levels.

How to get coaching insights from raw training analytics data?

Getting coaching insights from raw training analytics requires processing weekly volumes, VO2max trends, and activities. The system consumes these data structures and athlete context to output a Markdown interpretation explaining the coaching rationale behind prescribed next steps.

Can I use analytics interpretation for both road and trail running profiles?

Yes, analytics interpretation applies to both road and trail running profiles. It evaluates sport-specific metric rules, HR zones, and VO2max context to deliver phase-based guidance tailored to the specific demands of each running discipline.

Does analytics interpretation work without athlete context and phase information?

No, athlete context and phase information are required inputs. The system relies on these defined data structures alongside weekly volumes and VO2max trends to generate context-aware coaching assessments and accurate phase-based guidance.

Why does my VO2max stay stable when my weekly running volume increases?

Stable VO2max with increasing volume often indicates aerobic base building without corresponding intensity stimulus. The analytics interpretation evaluates this pattern using HR zones and athlete context to determine if progress is sustainable or if overtraining risks exist.