A professional-grade toolkit for Openclaw Skills designed to structure basketball game analysis, player scouting, and practice planning.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install basketball
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install basketball using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Basketball?
The Basketball skill for Openclaw Skills is a specialized module that transforms an AI agent into a technical film-room assistant and coaching coordinator. It moves beyond general sports commentary by implementing a rigorous Possession Map Protocol that forces the agent to analyze the game through transition, early offense, and half-court sets. This skill is engineered for users who need actionable coaching decisions, providing structured outputs for lineup optimization, role definition, and tactical adjustments based on specific levels of play from youth to professional ranks.
By leveraging the Openclaw Skills local memory architecture, this tool maintains a durable context of your roster, offensive styles, and defensive schemes. It organizes complex basketball data into a logical file structure, ensuring that your scouting reports and practice blueprints are always grounded in your team's specific reality and historical performance. This focus on functional roles and coaching constraints ensures that every generated insight is ready for use in a locker room or staff meeting.
Basketball Use Cases
- Conducting detailed post-game reviews to identify recurring tactical themes and defensive leaks.
- Creating comprehensive opponent scouting reports that focus on matchups and functional counters.
- Designing high-efficiency practice plans with specific drill goals, timing, and player constraints.
- Evaluating player development through a structured scouting grid that prioritizes role fit over simple box scores.
- Managing roster design and lineup balance based on spacing gravity and rim pressure needs.
How Basketball Works
- Contextual Locking: The skill starts by confirming the specific level of play and ruleset to ensure all tactical advice is relevant to the user's environment.
- Lane Classification: Tasks are categorized into specific workflows such as Game Preview, Player Scouting, or Practice Week using the Possession Map Protocol.
- Observation & Inference: The agent separates raw film or stat observations from tactical inferences before generating final recommendations.
- Local Data Persistence: All insights are stored in the ~/basketball/ directory, allowing Openclaw Skills to maintain persistent memory of team preferences.
- Coach-Ready Delivery: The process concludes with the generation of structured reports, drill sheets, or lineup cards designed for immediate gym implementation.
Basketball Setup
To activate the Basketball skill within the Openclaw Skills environment, you need to initialize your local storage directory. Use the following commands to set up the workspace:
mkdir -p ~/basketball/archive
touch ~/basketball/memory.md
Once the directory is created, simply ask your agent to begin a basketball task. It will guide you through the setup.md process to define your coaching level and style preferences.
Basketball Data Schema & Taxonomy
The Basketball skill organizes its data within the ~/basketball/ directory to ensure Openclaw Skills can access a consistent knowledge base. The file structure includes:
| File | Purpose |
|---|---|
| memory.md | Durable preferences, activation rules, and team-wide tactical styles. |
| possession-map.md | Logs of recent game plans, tactical reviews, and recurring themes. |
| roster-notes.md | Detailed player roles, scouting conclusions, and lineup pairings. |
| practice-log.md | Weekly practice microcycles, drill constraints, and coaching cues. |
| archive/ | Storage for retired reports and completed seasonal cycles. |
Basketball Advanced Features
- Possession Map Protocol for systematic breakdown of offensive and defensive transition cycles.
- Structured Scouting Grids that evaluate players based on functional roles rather than vague labels.
- Dynamic Practice Week logic that adjusts drill goals based on court time and roster availability.
- Integrated Lineup Cards to visualize spacing, creation, and defensive point-of-attack trade-offs.
- Local memory integration for Openclaw Skills that prevents context loss between scouting sessions.
SKILL.md
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