Personal Athlete 81 Grid Agent Skill
Create 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.
Install
one command, takes just this skill from the repositorynpx skills add https://github.com/twhsi/skills --skill personal-athlete-81-gridThe instruction itself
7 sections, as written by the authorPersonal Athlete 81 Grid
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.
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How to use it
Take twhsi/personal-athlete-81-grid from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.