A comprehensive multi-tool integration providing transcription, text-to-speech, computer vision, and cloud storage via a unified CLI.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install router9
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 router9 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 Router9 AI Skill?
Router9 is a powerful, all-in-one suite of AI capabilities designed to give agents advanced sensory and storage functions. By integrating with the Router9 API, agents gain the ability to process audio, visualize images, and manage files without needing multiple separate providers. This skill is a vital addition to the Openclaw Skills library for developers building agents that require high-level media interaction and persistence.
The skill operates through a bundled Python CLI that handles everything from generating realistic speech to extracting complex text from images. By centralizing these diverse AI functions, Router9 simplifies the development lifecycle and reduces the overhead of managing various API integrations, making it a robust choice for sophisticated automation workflows.
Router9 AI Skill Use Cases
- Transcribing voice memos, interviews, or meetings into accurate text documents.
- Generating high-quality audio files from text for notifications or accessibility.
- Extracting printed or handwritten text from scans, receipts, and labels using OCR.
- Analyzing image content to provide natural language descriptions or answer visual questions.
- Creating and storing AI-generated imagery for dynamic content creation.
- Managing a persistent cloud-based file system for agent-generated assets and logs.
How Router9 AI Skill Works
- The AI agent or developer executes the Router9 CLI script with a specific command like transcribe or describe.
- The script utilizes the ROUTER9_API_KEY to authenticate the request with the central API.
- Input data, such as audio files or image paths, is processed by the Router9 engine.
- Results are returned as structured JSON or saved directly to specified output paths.
- The agent interprets the JSON response to perform subsequent tasks within the Openclaw Skills ecosystem.
Router9 AI Skill Setup
To get started, ensure you have Python 3.10+ installed and a valid API key from the Router9 dashboard.
# Set the mandatory environment variable
export ROUTER9_API_KEY="your_router9_api_key"
# Test the installation by checking your storage quota
python scripts/router9.py usage
Router9 AI Skill Data Schema & Taxonomy
The Router9 skill outputs structured JSON for metadata and data extraction tasks. Below is a summary of the data returned by key tools:
| Tool | Response Fields | Purpose |
|---|---|---|
| Transcribe | text, language, duration | Speech-to-text results and audio length |
| OCR | fullText, blocks | Extracted text and spatial layout data |
| Describe | description | AI-generated natural language summary of an image |
| Storage | id, filename, sizeBytes | Metadata for uploaded and managed files |
| Usage | usedBytes, limitBytes | Quota and storage consumption tracking |
Router9 AI Skill Advanced Features
- Direct-to-S3 file uploads using presigned URLs for optimized performance and security.
- Multi-format support for audio (mp3, wav, m4a, webm) and images (jpg, png, webp, gif).
- Custom vision prompts allowing for specific queries about image contents rather than general descriptions.
- Comprehensive file management system including listing, pagination, and deletion via unique file IDs.
- High-fidelity text-to-speech with multiple voice profiles (e.g., alloy) and format options like opus.
SKILL.md
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