A powerful multi-source gaming intelligence skill for checking deals, compatibility, and playtime via Python.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install videogames
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 videogames 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 Video Games?
The Video Games skill is a specialized utility designed for Openclaw Skills that enables AI agents to interface with major gaming databases. It provides a unified command-line interface to fetch critical data including market pricing from CheapShark, Linux and Steam Deck compatibility ratings from ProtonDB, estimated completion times from HowLongToBeat, and technical specifications from the Steam store.
This skill is built to be lightweight and efficient, requiring no external libraries while offering comprehensive coverage of the gaming ecosystem. By adding this to your Openclaw Skills library, you enable your agent to perform deep research on video games, assisting with purchasing decisions, technical troubleshooting, and time management.
Video Games Use Cases
- Comparing real-time game prices across various digital storefronts to find the best deals.
- Determining if a specific title will run on Linux or Steam Deck before purchase.
- Estimating the time commitment required for a game's main story or completionist run.
- Fetching official system requirements and developer metadata for technical documentation.
How Video Games Works
- The AI agent triggers the
game_tool.pyscript using a specific subcommand like deals, compatibility, duration, or details. - The script sends an asynchronous request to the relevant third-party API (Steam, CheapShark, ProtonDB, or HLTB).
- The API response is parsed for relevant fields such as price, compatibility tier, or hours of gameplay.
- The formatted data is returned to the agent to be presented to the user or used in further logic within the Openclaw Skills framework.
Video Games Setup
This skill requires Python 3 to be installed on your system. No additional dependencies are needed as it uses standard libraries for its operations.
# Verify your Python version
python3 --version
# Usage examples
python3 scripts/game_tool.py deals "Cyberpunk 2077"
python3 scripts/game_tool.py compatibility 1091500
Video Games Data Schema & Taxonomy
The skill organizes data fetched from multiple providers into structured CLI outputs. Below is the mapping of data sources used by this Openclaw Skills extension:
| Source | Data Categories |
|---|---|
| CheapShark | Pricing, Store ID, Deal Savings |
| ProtonDB | Compatibility Tier (Platinum/Gold/Silver), AppID |
| HowLongToBeat | Main Story, Main + Extras, Completionist times |
| Steam API | System Specs, Genre, Publisher, Release Date |
Video Games Advanced Features
- Multi-provider lookup support allowing for cross-referenced game analysis.
- Zero-dependency architecture ensuring high portability across different environments.
- Direct AppID integration for high-precision technical data retrieval from Steam.
- Modular script design making it easy to extend for other Openclaw Skills workflows.
SKILL.md
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