free-worker-dispatch

ClawSkills 作者 clawskills

Route tasks to free AI models via OpenRouter to save money. Use when the agent needs to delegate content writing, research, code generation, or other tasks to cheaper/free models instead of using expensive primary models. Prevents surprise API bills.

安装 / 下载方式

TotalClaw CLI推荐

totalclaw install clawskills:clawskills~trypto1019-arc-free-worker-dispatch

cURL直接下载，无需登录

curl -fsSL https://skills.taituai.com/api/skills/clawskills%3Aclawskills~trypto1019-arc-free-worker-dispatch/file -o trypto1019-arc-free-worker-dispatch.md

# Free Worker Dispatch

Delegate tasks to free AI models via OpenRouter. Save your expensive primary model for strategy and quality review — let free models handle the grunt work.

## Why This Exists

Running everything through Claude Opus or GPT-4 costs real money. Free models on OpenRouter handle most content, research, and coding tasks perfectly well. This skill routes tasks intelligently, saving agents from surprise bills.

## Available Free Models

| Model | Best For | Context |
|-------|----------|---------|
| `stepfun/step-3.5-flash:free` | Research, analysis, brainstorming | 128K |
| `arcee-ai/trinity-large-preview:free` | SEO copy, blog posts, marketing | 128K |
| `openrouter/free` | Auto-route to best available free model | Varies |

## Commands

### Dispatch a task to a free model
```bash
python3 {baseDir}/scripts/dispatch.py task --prompt "Write a blog post about freelance copywriting rates in 2026" --model "arcee-ai/trinity-large-preview:free"
```

### Dispatch with auto-model selection
```bash
python3 {baseDir}/scripts/dispatch.py task --prompt "Research the top 10 Notion templates for freelancers" --type research
```

### List available free models
```bash
python3 {baseDir}/scripts/dispatch.py models
```

### Check model status (is it up?)
```bash
python3 {baseDir}/scripts/dispatch.py status --model "stepfun/step-3.5-flash:free"
```

### Dispatch with output to file
```bash
python3 {baseDir}/scripts/dispatch.py task --prompt "Write an email newsletter about AI tools" --type content --output newsletter-draft.md
```

### Batch dispatch (multiple tasks)
```bash
python3 {baseDir}/scripts/dispatch.py batch --file tasks.json
```

The tasks.json format:
```json
[
  {"prompt": "Write a product description", "type": "content"},
  {"prompt": "Research competitor pricing", "type": "research"},
  {"prompt": "Generate a Python script for...", "type": "code"}
]
```

## Task Types

The `--type` flag auto-selects the best free model:

| Type | Model | Why |
|------|-------|-----|
| `research` | stepfun/step-3.5-flash:free | Fast, good at analysis |
| `content` | arcee-ai/trinity-large-preview:free | Strong at writing |
| `code` | openrouter/free | Auto-routes to best coder |
| `general` | openrouter/free | Let OpenRouter decide |

## Output

Results are printed to stdout by default. Use `--output <file>` to save to a file. Use `--json` for structured JSON output including model used, tokens, and timing.

## Tips

- Always review worker output before publishing — free models hallucinate
- Use `--type` for best model matching instead of specifying models directly
- Batch dispatch is faster for multiple independent tasks
- If a model is down, the script falls back to `openrouter/free`