How does this skill ensure user safety?

It enforces strict guardrails that prevent the AI from providing medical diagnoses. It includes protocols to advise users to consult professionals if pain or severe symptoms are detected during plan adjustments.

What is the primary purpose of the Running Coach AI Index?

It serves as a central reference catalog and directory for all AI skills within the Run-Smart ecosystem, defining the shared schemas, safety rules, and integration points used by the coach.

Which telemetry events does this skill support?

The skill defines standard events including ai_skill_invoked, ai_plan_generated, ai_adjustment_applied, ai_insight_created, and ai_safety_flag_raised for comprehensive monitoring.

When should I use the Running Coach AI Index in my workflow?

Use it before invoking any specific Run-Smart skill to understand the shared contracts, when onboarding new features to ensure compliance, or when debugging integration points in the chat flow.

Running Coach AI Index

Name: Running Coach AI Index
Author: nadavyigal

bynadavyigal

0•

데이터 과학 및 ML

Manages a centralized catalog of AI coaching skills, TypeScript contracts, and safety guardrails for the Run-Smart platform.

The Running Coach AI Index serves as the foundational registry for the Run-Smart AI ecosystem, providing a standardized framework for developing and deploying intelligent running coach features. It centralizes critical TypeScript contracts, telemetry logging conventions, and essential safety guardrails to ensure that all AI-driven plan adjustments and insights remain consistent and secure. By defining shared schemas and smoke-test protocols, this skill enables developers to seamlessly integrate new coaching capabilities while maintaining strict compliance with medical safety standards and platform-wide monitoring requirements.

주요 기능

01Standardized TypeScript contracts for AI plan generation and adjustments

02Centralized safety guardrails to prevent unauthorized medical diagnosis

03Comprehensive directory of specialized Run-Smart coaching skills

04Pre-defined smoke tests for validating AI-driven coaching workflows

05Uniform telemetry events for tracking AI performance and user feedback

060 GitHub stars

사용 사례

01Standardizing data schemas when onboarding new AI coaching features

02Implementing consistent telemetry for monitoring AI-driven user insights

03Enforcing safety protocols during the generation of personalized running plans

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nadavyigal/running-coach- running-coach-index

For use in Claude.ai and ChatGPT

주요 기능

01Standardized TypeScript contracts for AI plan generation and adjustments

02Centralized safety guardrails to prevent unauthorized medical diagnosis

03Comprehensive directory of specialized Run-Smart coaching skills

04Pre-defined smoke tests for validating AI-driven coaching workflows

05Uniform telemetry events for tracking AI performance and user feedback

060 GitHub stars

사용 사례

01Standardizing data schemas when onboarding new AI coaching features

02Implementing consistent telemetry for monitoring AI-driven user insights

03Enforcing safety protocols during the generation of personalized running plans

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nadavyigal/running-coach- running-coach-index

For use in Claude.ai and ChatGPT