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.