A comprehensive personal management system for organizing video games, board games, and family activities within an AI-powered workspace.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install games
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 games 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 Games Skill?
The Games skill is a specialized framework designed to transform your AI agent into a personal gaming librarian and activity coordinator. By utilizing Openclaw Skills, this tool establishes a centralized workspace at ~/games/ where it tracks everything from high-priority video game backlogs to the complexity levels of your board game collection.
Beyond simple list-making, this skill provides a logic-driven approach to leisure time. It helps users manage their digital and physical collections while offering context-aware suggestions for social gatherings, ensuring that the right game is matched with the right audience at the right time.
Games Skill Use Cases
- Managing a multi-platform video game backlog and tracking current gameplay progress.
- Organizing board game libraries by player count, complexity, and age-appropriateness.
- Planning party games and icebreakers for social events based on available equipment.
- Logging game night results to record winners, group dynamics, and session notes.
- Curating age-specific activities for toddlers, kids, and tweens.
How Games Skill Works
- The AI agent initializes a structured directory at ~/games/ to host various Markdown-based databases.
- When a user mentions a specific game or activity, the agent automatically offers to track it within the relevant category.
- The skill analyzes existing data to provide smart recommendations based on current context (e.g., player count, available time, or age group).
- After a gaming session, the agent assists in logging thoughts, hours played, or game night outcomes to build a historical record.
- The system progressively enhances its suggestions by identifying patterns in favorites and previous group successes.
Games Skill Setup
To deploy this within your Openclaw Skills environment, you need to establish the workspace directory structure. You can do this manually or ask your agent to initialize it.
# Create the core gaming workspace
mkdir -p ~/games/{video/completed,board,party,kids}
# Initialize primary tracking files
touch ~/games/video/playing.md ~/games/video/backlog.md ~/games/favorites.md
Once the files are created, inform your AI agent to begin monitoring your gaming mentions to populate the records.
Games Skill Data Schema & Taxonomy
The skill organizes information using a hierarchical Markdown structure for maximum portability and readability:
| Directory | File | Purpose |
|---|---|---|
~/games/video/ |
playing.md |
Tracks current platform, hours, and progress. |
~/games/board/ |
collection.md |
Catalogs owned games by player count and complexity. |
~/games/party/ |
ideas.md |
Lists equipment-free and card-based group games. |
~/games/kids/ |
activities.md |
Segments activities by age group (Toddlers to Tweens). |
~/games/ |
game-nights.md |
Logs dates, attendees, and session winners. |
Games Skill Advanced Features
- Contextual recommendation engine that filters owned games by current player count.
- Integrated sale-watching for backlogged titles to optimize gaming budgets.
- Automated game night retrospective logging to improve future session planning.
- Multi-category favorites system for quick access to top-rated experiences.
- Age-appropriate filtering to ensure suggestions are suitable for family visitors.
SKILL.md
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