Overview
The/add-parallel skill integrates Parallel AI’s research capabilities into NanoClaw Pro, providing both quick searches and deep research analysis.
What It Adds
Quick Search
Fast web lookups using Parallel Search API (free to use)
Deep Research
Comprehensive analysis using Parallel Task API (asks permission)
Non-blocking Design
Uses NanoClaw scheduler for result polling without blocking containers
MCP Integration
Seamlessly integrated via Model Context Protocol
Prerequisites
- Parallel AI API key from platform.parallel.ai
- NanoClaw already set up and running
- Docker installed and running
How to Apply
Provide API key
Claude will ask if you have a Parallel AI API key. If not:
- Go to https://platform.parallel.ai
- Sign up or log in
- Navigate to API Keys section
- Create a new API key
- Copy and paste the key when prompted
What Changes
Files Modified
.env- AddsPARALLEL_API_KEYpackage.json- Adds@modelcontextprotocol/server-paralleldependencycontainer/agent-runner/src/index.ts- Registers Parallel AI MCP server
New Capabilities
After applying, your assistant can:- Perform quick web searches
- Conduct deep research with multiple sources
- Access real-time web information
- Analyze complex research questions
Usage
Quick Search
Deep Research
Troubleshooting
Research tasks not completing
Research tasks not completing
Parallel AI tasks are asynchronous. NanoClaw polls for results using scheduled tasks. Check:
- Task scheduler is running (
@Andy list tasks) - No errors in
logs/nanoclaw.log - API key is valid
API key errors
API key errors
Verify your API key:Ensure it’s properly set and has no quotes or extra spaces.
Related Documentation
Scheduled Tasks
How background polling works
Container Configuration
MCP server setup details