A unified multi-AI gateway providing access to over 50 models for chat, image generation, video, and speech through a single API key.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install skillboss-tiny
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install skillboss-tiny using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
SkillBoss is a comprehensive integration for Openclaw Skills that acts as a central hub for the AI ecosystem. Instead of managing dozens of individual API keys and disparate SDKs, developers can use SkillBoss to interact with over 50 state-of-the-art models from various providers. This skill simplifies the process of switching between chat models, generating high-fidelity images, creating videos, and performing text-to-speech (TTS) or speech-to-text (STT) operations.
By leveraging SkillBoss within the Openclaw Skills framework, agents gain the ability to perform cross-modal tasks efficiently. Whether you need the reasoning capabilities of Claude 3.5 Sonnet or the creative output of specialized image and music models, SkillBoss provides a standardized interface to execute these requests via simple CLI commands.
To get started with SkillBoss as part of your Openclaw Skills library, follow these steps:
export SKILLBOSS_API_KEY='your_api_key_here'
SkillBoss organizes its operations through a structured command-line interface. The following table describes the primary data interaction points:
| Command Type | Input | Output Format |
|---|---|---|
| Model Discovery | Category (chat, image, etc.) | Plain text list of available model IDs |
| Execution | Model ID + Prompt | Text response or Media URL |
| Smart Tasks | Task type + Prompt | Optimized model selection and response |
Media files generated (Images/Video/Audio) are delivered as URLs. Users should handle file persistence manually using local storage commands.
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