skills.rest
xmonkee
xmonkeeCOMMUNITY
Explore all skills by this author →
GitHub

Add Parallel AI Integration

Integrate Parallel AI MCP servers for web research in NanoClaw.

Updated Feb 25, 2026
Search Tags:#agent skills#task automation#mcp#web research#api integration#parallel ai
One-click install
npx skills add https://github.com/xmonkee/nanoclaw --skill add-parallel-ai-integration-xmonkee
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Add Parallel AI Integration
Source: https://github.com/xmonkee/nanoclaw/tree/main/.claude/skills/add-parallel
Command: npx skills add https://github.com/xmonkee/nanoclaw --skill add-parallel-ai-integration-xmonkee

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill integrates advanced web research capabilities into NanoClaw by connecting to the Parallel AI platform, enabling faster and more comprehensive information gathering.

Core Features & Use Cases

  • Quick Search: Perform rapid web lookups using the Parallel Search API for factual information.
  • Deep Research: Conduct in-depth analysis using the Parallel Task API for complex topics, with user permission.
  • Non-blocking Design: Utilizes the NanoClaw scheduler to poll for results, preventing container blocking.
  • Use Case: Ask your assistant to research the "history of artificial intelligence" and it will use the Deep Research tool, asking for your permission first, and then provide a comprehensive overview without freezing the assistant.

Quick Start

Ask your assistant to find the latest news about AI.

Frequently Asked Questions about Add Parallel AI Integration

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I integrate Parallel AI MCP servers for web research?▼

Deep research tasks are executed using the Parallel Task API, which the NanoClaw scheduler polls for results. This non-blocking design prevents container freezing while gathering complex, analytical information.

Can I use NanoClaw for non-blocking API integration?▼

Yes, NanoClaw supports non-blocking API integration by utilizing its scheduler to poll for results. This prevents container blocking during long-running tasks like deep research via the Parallel AI platform.

Do I need an API key to use Parallel AI with NanoClaw?▼

Yes, you need a user API key to use Parallel AI. Configuring the HTTP MCP servers for the 'parallel-search' and 'parallel-task' endpoints requires this key to authenticate your web research requests.

What's the difference between quick search and deep research in Parallel AI?▼

Quick search uses the Parallel Search API for rapid factual lookups, while deep research uses the Parallel Task API for in-depth analysis of complex topics. Deep research tasks also require user permission before execution.

Related Skills

Explore More Software Engineering Skills→
NebulaMaoNebulaMao
13

Add Parallel AI Integration

Integrate Parallel AI MCP servers for web research into NanoClaw.

Community
Advanced
mishahaninmishahanin
10

deep-research-advance

Orchestrate headless web research and adversarial verification into cited Markdown reports.

Community
Advanced
veerababumanyamveerababumanyam

ai-mcp-integration

Integrate AI services with the MCP framework for RawDrive.

Community
Intermediate
MinhDuyDEVMinhDuyDEV

webclaw

Extract structured web content from protected or complex sites via the webclaw MCP server.

Community
Advanced