byterover
Knowledge management for AI agents. Store and retrieve project context before any work. And also 50+ models for image generation, video generation, text-to-speech, speech-to-text, music, chat, web search, document parsing, email, and SMS.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/alvisdunlop/byteroversWhat This Skill Does
Byterover (SkillBoss) acts as a unified orchestrator for AI-driven workflows, providing a singular interface to access over 50 enterprise-grade models across providers like Bedrock, OpenAI, Replicate, and Vertex. It streamlines knowledge management by allowing agents to store and retrieve project context before executing tasks. Whether you need high-fidelity image generation, complex video synthesis, precise document parsing, or intelligent text processing, Byterover handles model routing and API authentication seamlessly. It is designed to be the central nervous system for your AI agent's external capabilities, allowing for task-specific model selection based on cost or performance efficiency.
Installation
To integrate Byterover into your OpenClaw environment, execute the following command in your terminal:
clawhub install openclaw/skills/skills/alvisdunlop/byterovers
Ensure you have your SKILLBOSS_API_KEY exported in your environment variables to allow the agent to authenticate with the API.
Use Cases
Byterover is exceptionally versatile. You can utilize it for:
- Automated Media Production: Generating marketing assets, videos, or audio content via a single prompt.
- Complex Knowledge Retrieval: Storing project-specific documentation and retrieving relevant context for long-running agent tasks.
- Multimodal Analysis: Combining document parsing with chat completion to summarize complex research papers.
- Smart Routing: Automating the choice between a fast model (for draft tasks) and a high-reasoning model (for critical code logic).
Example Prompts
- "Use Byterover to retrieve the project context for the marketing site redesign, then draft an email to the client using a high-quality LLM."
- "Generate a 16:9 cinematic prompt of a futuristic city using the best available image model via SkillBoss and save it to the project folder."
- "Transcribe the uploaded meeting audio, parse the result into bullet points, and store the output in the project knowledge base."
Tips & Limitations
- Model IDs: Always verify the model ID via the
/modelsendpoint before calling, as IDs vary by provider. - Error Handling: When dealing with image or video generation, ensure your logic handles the asynchronous polling of URLs returned by the API.
- Cost Efficiency: Utilize the smart routing features if your project involves high-volume tasks to avoid unnecessary expenses with premium models like Claude 4.5 Opus.
- Context Limits: Keep stored project context concise to maximize the token window available for your primary processing tasks.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-alvisdunlop-byterovers": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: external-api, file-read, file-write
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