personal-athlete-81-grid

Generate an 81-cell MandalArt grid for athlete development plans.

256|38|Updated Jun 16, 2026
One-click install
npx skills add https://github.com/twhsi/skills --skill personal-athlete-81-grid
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: personal-athlete-81-grid
Source: https://github.com/twhsi/skills/tree/main/skills/personal-athlete-81-grid
Command: npx skills add https://github.com/twhsi/skills --skill personal-athlete-81-grid

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and assets (resource) components.

What problem does it solve?

This Skill allows users to visually represent an athlete's goals and development plan using an 81-cell MandalArt grid, which is especially useful for sports professionals and athletes.

Core Features & Use Cases

  • Customized Grid Creation: Generate an 81-cell grid that outlines an athlete's objectives and domains for growth.
  • Dynamic Domains: Each domain in the grid can expand into eight actionable items.
  • Visual Style Customization: Users can choose from predefined color schemes and visual styles.

Quick Start

Create a personal athlete 81-grid for the sport 'badminton' with the goal 'improve technique and fitness' using the personal-athlete-81-grid skill.

Frequently Asked Questions about personal-athlete-81-grid

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

FAQPage Schema
How do I visualize athlete development goals using an 81-cell grid?

You can visualize athlete development goals by generating an 81-cell MandalArt grid that outlines specific objectives and growth domains for customized visual planning.

What is the MandalArt grid method for athlete training planning?

The MandalArt grid method structures athlete training planning by breaking a central goal into multiple domains, where each domain expands into eight actionable items for visual development tracking.

Do I need Python to generate a visual athlete development plan?

Yes, you need Python installed for grid rendering, which generates SVG outputs to visualize the athlete development plan and customize its visual style.

Can I customize the visual style and color schemes of the athlete goal grid?

Yes, you can customize the visual style of the athlete goal grid by choosing from predefined color schemes and visual styles to suit your presentation preferences.

How do I add action items to specific training domains in the MandalArt grid?

You add action items by defining custom domains within the 81-cell grid, which dynamically expand to support eight specific actionable training items per domain.

Is the MandalArt grid suitable for planning individual athlete development programs?

Yes, the MandalArt grid is designed specifically for sports professionals to plan individual athlete development programs and structure tailored training objectives visually.