mcpacer

Loads Strava athlete context and coaching persona for live training sessions.

10|Updated Feb 2, 2026
One-click install
npx skills add https://github.com/wernerpe/mcpacer --skill mcpacer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcpacer
Source: https://github.com/wernerpe/mcpacer/tree/main/skills/mcpacer
Command: npx skills add https://github.com/wernerpe/mcpacer --skill mcpacer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill turns a Strava-connected running log into an active coaching session by loading the athlete’s memory, training plan, recent sessions, and coaching persona before advice is given.

Core Features & Use Cases

  • Personalized Coaching: Adopts the athlete’s preferred coaching style and uses it consistently throughout the session.
  • Training Context Loading: Pulls long-term memory, recent run history, active plan context, and session logs so guidance stays grounded in real training data.
  • Run Feedback and Digestion: Summarizes recent runs, posts concise coaching feedback, and keeps the athlete’s feed and history up to date.
  • Injury-Aware Support: Handles body-map conversations, interprets pain patterns, and suggests conservative adjustments and strength work when needed.

Quick Start

Start a running coach session by loading the athlete’s context, adopting the correct persona, and opening with concise feedback plus a body check-in.

Frequently Asked Questions about mcpacer

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

FAQPage Schema
How does AI running coaching integrate with my Strava training history?

AI running coaching integrates with Strava by loading your recent run history, session logs, and active training plan to provide personalized feedback and body check-ins based on your actual workout data.

Can I get an AI marathon training plan that adjusts for injury prevention?

Yes, you can receive an AI marathon training plan that supports injury prevention by interpreting pain patterns through body-map conversations and suggesting conservative adjustments or strength work during your live training sessions.

How do I start a personalized running coach session using my Strava data?

To start a personalized running coach session, the system loads your athlete context, adopts your preferred coaching persona, and opens with concise feedback on recent runs alongside an initial body check-in.

What is run digestion in the context of AI running coaching?

Run digestion in AI running coaching is the process of summarizing your recent Strava activities, posting concise coaching feedback, and updating your athlete memory and training history to maintain continuity.

Does AI running coaching support different coaching styles for marathon training?

Yes, AI running coaching supports different coaching styles by allowing persona selection during athlete onboarding, ensuring the guidance consistently adopts your preferred coaching approach throughout the session.

What running data is required to maintain continuity in AI coaching feedback?

Maintaining continuity in AI coaching feedback requires coach memory, Strava training snapshots, active plan context, recent session logs, and memory or plan update actions to keep your athlete profile current.