personal-athlete-81-grid
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.
npx skills add twhsi/skills --skill personal-athlete-81-grid --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Personal Athlete 81 Grid ## Purpose Turn an athlete's core goal into a square 9x9 MandalArt grid: - `1` center goal: the athlete's north star. - `8` domains: the center 3x3 ring around the goal. - `64` extension 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 1. Identify the athlete, sport, and center goal. 2. Choose eight domains. Prefer `5` hard or sport-skill domains and `3` long-term domains. 3. Expand each domain into eight short, editable action cells. 4. Save as JSON first. JSON is the source of truth; SVG/PNG are outputs. 5. Render a square 81-cell visual if requested. For badminton, a good default domain set is: ```text 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: ```json { "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
- Purpose
- Workflow
- JSON Schema
- Ohtani Visual Color Rules
- Rendering
- Prompt Pattern
python3 scripts/render_ohtani_81_grid.py assets/yongxi-badminton.json output.svg qlmanage -t -s 2400 -o . output.svg
What does the personal-athlete-81-grid skill do?
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.
How do I install it?
Run `npx skills add twhsi/skills --skill personal-athlete-81-grid --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From twhsi/skills, a repository with 256 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.