/add-parallel skill adds web research capabilities to NanoClaw through Parallel AI MCP servers. The agent can perform quick web lookups or in-depth research without leaving the conversation.
Tools
The skill adds two MCP servers:| MCP Server | Tool | Cost | Description |
|---|---|---|---|
parallel-search | Quick search | Free | Fast web lookups for simple queries |
parallel-task | Deep research | Paid (asks permission) | Comprehensive multi-source analysis |
Deep research costs money per query. The agent asks for confirmation before running a deep research task, so you won’t be charged unexpectedly.
Non-blocking design
Deep research tasks can take time. The skill uses NanoClaw’s scheduler to poll for results instead of blocking the agent:- Agent submits a deep research task
- Task ID is stored and the agent continues with other work
- NanoClaw’s scheduler periodically checks for results
- When results arrive, the agent is notified and can respond
Prerequisites
- A Parallel AI API key
- NanoClaw with at least one channel installed
Installation
Via Claude Code:Configuration
Add your Parallel AI API key to.env:
Usage examples
Related pages
- Ollama integration — Another AI model integration
- Skills system — How skills work
- Scheduled tasks — How the scheduler works