payload-skill

Generate weekly athlete summaries and state seeds for coaching sessions.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/JJDevPro/senpai-ai-chat --skill payload-skill
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: payload-skill
Source: https://github.com/JJDevPro/senpai-ai-chat/tree/main/.claude/skills/payload-skill
Command: npx skills add https://github.com/JJDevPro/senpai-ai-chat --skill payload-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the generation of a detailed weekly summary for an athlete, serving as a state seed for the next week's coaching sessions.

Core Features & Use Cases

  • Weekly Summary Generation: Summarizes the athlete's performance, training, HRV, VO2, and learnings in a concise format.
  • State Seed Creation: Creates a state seed for the next week's coaching by updating key metrics and tracking information.
  • Use Case: After the weekly summary is generated, the athlete can review it and discuss it with their coach, ensuring a seamless transition to the next week's training and goals.

Quick Start

Use the payload-skill to generate the weekly summary for the upcoming week.

Frequently Asked Questions about payload-skill

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

FAQPage Schema
How do I generate an athlete weekly summary with performance metrics and training data?

To generate an athlete weekly summary, the Skill processes performance metrics, HRV, VO2, and training data into a concise format. It requires access to athlete training and health data to automatically compile the comprehensive report.

What is a state seed for next week's coaching and how does it work?

A state seed for next week's coaching is a structured snapshot of an athlete's updated key metrics and learnings. It tracks progress from the weekly summary to transition seamlessly into the next week's training and goals.

Can I use pdfplumber and pypdf to process athlete health data for coaching summaries?

Yes, the weekly summary generation utilizes Python libraries including pypdf, pdfplumber, and pdf2image for data processing. These dependencies help extract and structure athlete training and health data from documents.

How do I create a state seed from HRV and VO2 learnings for athlete coaching?

You create a state seed by summarizing the athlete's HRV, VO2, and learnings into a structured format. This updated state seed informs and guides the next week's coaching sessions.

Does automated weekly summary generation work without structured athlete training data?

No, automated weekly summary generation requires access to the athlete's training and health data. Without this input data, the Skill cannot process performance metrics or create the state seed for coaching.