A smart routing utility that saves money by delegating routine content, research, and coding tasks to free AI models via OpenRouter.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install arc-free-worker-dispatch
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 arc-free-worker-dispatch 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 Free Worker Dispatch?
Free Worker Dispatch is a specialized utility designed to optimize the operational costs of AI-driven workflows. By serving as an intelligent middleman, this skill allows users to offload grunt work—such as SEO drafting, basic research, and boilerplate code generation—to free models available on OpenRouter. This ensures that expensive primary models like Claude Opus or GPT-4 are reserved for high-level strategy and final quality reviews.
As part of the Openclaw Skills ecosystem, this tool helps developers and researchers avoid surprise API bills while maintaining a high level of productivity. It supports various free-tier models, providing a seamless transition between high-performance reasoning and cost-effective task execution.
Free Worker Dispatch Use Cases
- Reducing operational costs by routing research and analysis to free-tier models.
- Generating bulk SEO copy and blog drafts without consuming premium API credits.
- Offloading repetitive coding tasks and boilerplate generation to specialized free models.
- Batch processing multiple content prompts through a structured JSON workflow.
- Testing prompts and agent logic on free workers before scaling to paid deployments.
How Free Worker Dispatch Works
- The user initiates a task via the CLI, providing a prompt and an optional task type or model preference.
- The skill analyzes the task type (research, content, code, or general) to determine the most effective free worker currently available.
- The dispatcher sends the request to the OpenRouter API using the configured environment variables.
- If a specific model is unavailable, the system automatically falls back to a general free-tier router to ensure task completion.
- The resulting output is either displayed in the terminal, saved to a specified file, or returned as a structured JSON object for further automation.
Free Worker Dispatch Setup
To use this component from the Openclaw Skills library, ensure you have Python 3 installed and a valid API key from OpenRouter.
# Set your API key environment variable
export OPENROUTER_API_KEY='your_api_key_here'
# Verify available free models
python3 scripts/dispatch.py models
Free Worker Dispatch Data Schema & Taxonomy
The skill manages task routing and results through a structured command-line interface and optional JSON batch files.
| Feature | Description | Format |
|---|---|---|
| Task Prompt | The core instruction for the AI model | String |
| Task Type | Categorization used for auto-model selection (research, content, code) | String |
| Batch Input | A JSON file containing an array of task objects | JSON Array |
| JSON Output | Structured metadata including model used, tokens, and execution time | JSON Object |
Free Worker Dispatch Advanced Features
- Intelligent auto-selection logic that matches task requirements with model strengths (e.g., Step-3.5-Flash for research).
- Batch dispatch capabilities for processing multiple prompts from a single JSON configuration file.
- Real-time status checks to verify if specific free models are online and responsive.
- File-based output routing to streamline the creation of newsletters, reports, or scripts.
- Automated fallback mechanisms to the openrouter/free route to prevent execution failures.
SKILL.md
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