Personal Athlete 81 Grid
SkillAI & modelsCreate a personal athlete 81-cell MandalArt grid from an Ohtani Shohei-style 64+8+1 model. Use when the user asks for 大谷翔平 81 宮格, 個人運動員81宮格, sports skill maps, athlete training Mandala charts, badminton 81 grids, or editable JSON/SVG/PNG-ready athlete development templates with Ohtani-style colors.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Personal Athlete 81 Grid skill
What this skill tells your AI
The instructions your AI receives, as published by twhsi/skills in skills/personal-athlete-81-grid/SKILL.md and read by ahel’s review.
Purpose
Turn an athlete's core goal into a square 9x9 MandalArt grid:
1center goal: the athlete's north star.8domains: the center 3x3 ring around the goal.64extension cells: each domain expands into eight concrete actions.
Default visual style is the Ohtani Shohei reference: thick black 3x3 section lines, short bold text, red center, pink domain centers/core layer, white hard skills, cyan mental/social/recovery/long-term layer.
Workflow
- Identify the athlete, sport, and center goal.
- Choose eight domains. Prefer
5hard or sport-skill domains and3long-term domains. - Expand each domain into eight short, editable action cells.
- Save as JSON first. JSON is the source of truth; SVG/PNG are outputs.
- Render a square 81-cell visual if requested.
For badminton, a good default domain set is:
後場攻防、切吊變化、網前手感、重心步法、發接前三、恢復保養、球友情場、長壽榜樣
JSON Schema
Use this compact shape:
{
"title": "永錫羽毛球81宮格",
"center": "越老越健康\n越久越快樂\n重心強",
"visual_style": "ohtani",
"domains": [
{
"name": "後場攻防",
"type": "hard_skill",
"items": ["側身準備", "高遠拉開", "殺球角度", "一殺一抽", "抽球拍面", "殺後銜接", "切吊變化", "教練回饋"]
}
]
}
Rules:
- Exactly eight
domains. - Each domain has exactly eight
items. - Keep each label short enough for a square cell, usually 2-6 Chinese characters.
- Do not duplicate the domain name in
items; the renderer places it in each outer 3x3 center. - Use line breaks in
centeronly when needed.
Ohtani Visual Color Rules
Use these colors unless the user asks for another palette:
| Layer | Default color | Meaning |
|---|---|---|
| Center goal | red #ff260f | final target, identity-level athletic goal |
| Domain cells | pink #fb8aa0 | the eight main domains and outer domain centers |
| Hard skills | white #ffffff | sport technique, body mechanics, concrete drills |
| Mental/social/long-term | cyan #65eadb | psychology, character, recovery, relationships, longevity |
| Section lines | black #050505 | 3x3 blocks |
| Cell lines | gray #b9b9b9 | individual cells |
Map domain types:
hard_skill: white outer cells, pink domain center.body: white outer cells, pink domain center.recovery: cyan outer cells, pink domain center.mental: cyan outer cells, pink domain center.social: cyan outer cells, pink domain center.longevity: cyan outer cells, pink domain center.
Rendering
Use the bundled script when a deterministic SVG is useful:
python3 scripts/render_ohtani_81_grid.py assets/yongxi-badminton.json output.svg
Then convert SVG to PNG with a local tool if available, such as:
qlmanage -t -s 2400 -o . output.svg
The script expects the JSON schema above and outputs a square 2400x2400 SVG.
Prompt Pattern
When the user gives only a sport and goal, use this pattern internally:
Create an Ohtani-style personal athlete 81 grid for SPORT.
Center goal: GOAL.
Return 8 domains, each with 8 short action cells.
Use 5 sport-skill/body domains and 3 recovery/mental/social/longevity domains.
Keep labels concise enough for a square 9x9 grid.
Use JSON as the editable source.
Signals
- GitHub stars
- 259
- Forks
- 38
- Last commit
- Jul 2026
Advanced
- Catalog kind
- skill
- Gateway key
personal-athlete-81-grid- Source
- github.com/twhsi/skills