A high-performance AI inference skill that connects your agent to Groq's ultra-fast LPU-powered API for near-instant completions.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install groq
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 groq 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 Groq Completion?
The Groq Completion skill is designed for developers who require high-velocity AI interactions within their workflows. By leveraging Groq's specialized Language Processing Unit (LPU) architecture, this skill minimizes the latency usually associated with large language models. It allows users to query sophisticated models with incredible speed, making it a cornerstone for those building responsive applications with Openclaw Skills.
This skill transforms how agents handle text generation, providing a snappy, real-time feel that enhances productivity. Whether you are generating code or analyzing data, the integration ensures that your AI assistant stays as fast as your thought process.
Groq Completion Use Cases
- Instant code generation and boilerplate creation during development.
- Rapid debugging and error analysis with minimal waiting time.
- Real-time brainstorming and architectural planning within the agent interface.
- Accelerating content summarization and documentation tasks.
How Groq Completion Works
- The user provides an input prompt using the specific
Groq:prefix. - The skill intercepts the command and routes the prompt to the Groq API endpoint.
- Groq processes the request using its high-speed LPU hardware for maximum throughput.
- The generated completion is returned to the user in a seamless stream or single block.
Groq Completion Setup
To begin using this skill, you must first obtain an API key from the Groq Cloud console. Once you have your credentials, configure your environment as follows:
- Set the Groq API key in your environment variables:
export GROQ_API_KEY='your_api_key_here'
- Register the skill within your agent configuration to enable Openclaw Skills functionality.
- Test the connection by running a simple command:
Groq: Hello world.
Groq Completion Data Schema & Taxonomy
The Groq Completion skill manages data using a straightforward request-response structure:
| Attribute | Type | Description |
|---|---|---|
| user_prompt | String | The text input provided after the Groq prefix. |
| model_selection | String | The specific LLM model used for the completion (e.g., Llama-3). |
| response_text | String | The raw text output generated by the inference engine. |
| latency_ms | Integer | The time taken to process the request in milliseconds. |
Groq Completion Advanced Features
- Support for multiple open-source models including Llama, Mixtral, and Gemma.
- Configurable inference parameters such as temperature and max token limits for customized output.
- Streamlined integration for multi-agent systems requiring fast parallel processing via Openclaw Skills.
- Real-time token usage tracking for cost and performance monitoring.
SKILL.md
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