GroqCloud Automation
Automate AI inference, chat completions, audio translation, and TTS voice management through GroqCloud's high-performance API via Composio
Best use case
GroqCloud Automation is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Automate AI inference, chat completions, audio translation, and TTS voice management through GroqCloud's high-performance API via Composio
Teams using GroqCloud Automation should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/groqcloud-automation/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How GroqCloud Automation Compares
| Feature / Agent | GroqCloud Automation | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Automate AI inference, chat completions, audio translation, and TTS voice management through GroqCloud's high-performance API via Composio
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# GroqCloud Automation
Automate AI inference workflows using GroqCloud's ultra-fast API -- chat completions, model discovery, audio translation, and TTS voice selection -- all orchestrated through the Composio MCP integration.
**Toolkit docs:** [composio.dev/toolkits/groqcloud](https://composio.dev/toolkits/groqcloud)
---
## Setup
1. Connect your GroqCloud account through the Composio MCP server at `https://rube.app/mcp`
2. The agent will prompt you with an authentication link if no active connection exists
3. Once connected, all `GROQCLOUD_*` tools become available for execution
---
## Core Workflows
### 1. Discover Available Models
List all models available on GroqCloud to find valid model IDs before running inference.
**Tool:** `GROQCLOUD_LIST_MODELS`
```
No parameters required -- returns all available models with metadata.
```
Use this as a prerequisite before any chat completion call to ensure you reference a valid, non-deprecated model ID.
---
### 2. Run Chat Completions
Generate AI responses for conversational prompts using a specified GroqCloud model.
**Tool:** `GROQCLOUD_GROQ_CREATE_CHAT_COMPLETION`
| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| `model` | string | Yes | Model ID from `GROQCLOUD_LIST_MODELS` |
| `messages` | array | Yes | Ordered list of `{role, content}` objects (`system`, `user`, `assistant`) |
| `temperature` | number | No | Sampling temperature 0-2 (default: 1) |
| `max_completion_tokens` | integer | No | Max tokens to generate |
| `top_p` | number | No | Nucleus sampling 0-1 (default: 1) |
| `stop` | string/array | No | Up to 4 stop sequences |
| `stream` | boolean | No | Enable SSE streaming (default: false) |
---
### 3. Inspect Model Details
Retrieve detailed metadata for a specific model including context window and capabilities.
**Tool:** `GROQCLOUD_GROQ_RETRIEVE_MODEL`
| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| `model` | string | Yes | Model identifier (e.g., `groq-1-large`) |
---
### 4. Translate Audio to English
Translate non-English audio files into English text using Whisper models.
**Tool:** `GROQCLOUD_GROQ_CREATE_AUDIO_TRANSLATION`
| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| `file_path` | string | Yes | Local path, HTTP(S) URL, or base64 data URL for audio |
| `model` | string | No | Model ID (default: `whisper-large-v3`). Note: `whisper-large-v3-turbo` may not support translations |
| `response_format` | string | No | `json`, `verbose_json`, or `text` (default: `json`) |
| `temperature` | number | No | Sampling temperature 0-1 (default: 0) |
---
### 5. List TTS Voices
Enumerate available text-to-speech voices for Groq PlayAI models to drive voice selection UX.
**Tool:** `GROQCLOUD_LIST_VOICES`
```
Returns the set of supported TTS voices. Note: this is a static list maintained manually.
```
---
## Known Pitfalls
| Pitfall | Details |
|---------|---------|
| **Nested model list** | `GROQCLOUD_LIST_MODELS` response may be nested at `response['data']['data']` -- do not assume a flat top-level array |
| **Hard-coded model IDs break** | Always fetch model IDs dynamically via `GROQCLOUD_LIST_MODELS`; hard-coded names can break when models are deprecated or renamed |
| **Audio format validation** | `GROQCLOUD_GROQ_CREATE_AUDIO_TRANSLATION` rejects invalid or unsupported audio formats silently -- validate inputs before calling |
| **Model metadata drifts** | Data from `GROQCLOUD_GROQ_RETRIEVE_MODEL` (context window, features) can change as models update -- do not treat it as static |
| **TTS voice changes** | Voice sets from `GROQCLOUD_LIST_VOICES` may shrink or rename over time -- handle missing voices gracefully |
---
## Quick Reference
| Tool Slug | Purpose |
|-----------|---------|
| `GROQCLOUD_LIST_MODELS` | List all available models and metadata |
| `GROQCLOUD_GROQ_CREATE_CHAT_COMPLETION` | Generate chat-based AI completions |
| `GROQCLOUD_GROQ_RETRIEVE_MODEL` | Get detailed info for a specific model |
| `GROQCLOUD_GROQ_CREATE_AUDIO_TRANSLATION` | Translate non-English audio to English text |
| `GROQCLOUD_LIST_VOICES` | Retrieve available TTS voices for PlayAI |
---
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