skills.rest
alanmun
alanmunCOMMUNITY
Explore all skills by this author →
GitHub

add-parallel

Integrate Parallel AI MCP for web search and deep research workflows.

Updated Mar 4, 2026
Search Tags:#research#web search#deep learning#mcp#api integration#parallel ai
One-click install
npx skills add https://github.com/alanmun/vivian --skill add-parallel-alanmun
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: add-parallel
Source: https://github.com/alanmun/vivian/tree/main/.agents/skills/add-parallel
Command: npx skills add https://github.com/alanmun/vivian --skill add-parallel-alanmun

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill integrates Parallel AI's powerful search and deep research capabilities into your agent, enabling more comprehensive and efficient information gathering.

Core Features & Use Cases

  • Quick Search: Perform fast web lookups for current information.
  • Deep Research: Conduct in-depth analysis on complex topics using Parallel's Task API.
  • Non-blocking Workflows: Leverages the NanoClaw scheduler to avoid blocking the agent during research tasks.
  • Use Case: Ask your assistant to research the "evolution of renewable energy technologies" and have it perform a deep dive, providing a comprehensive report without interrupting other agent functions.

Quick Start

Use the add-parallel skill to integrate Parallel AI for advanced web research.

Frequently Asked Questions about add-parallel

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

FAQPage Schema
How do I integrate Parallel AI web search into my agent workflow?▼

Integrate Parallel AI web search by using the add-parallel Skill to connect the Parallel AI MCP. This enables quick web lookups and comprehensive research analysis directly within your agent's workflows.

What is needed to use Parallel AI for deep research tasks?▼

To use Parallel AI for deep research, you need a valid Parallel AI API key and Docker installed. These prerequisites allow the Skill to access the Task API and run the NanoClaw scheduler.

Can I run non-blocking deep research tasks without freezing my agent?▼

Yes, you can run non-blocking deep research tasks by leveraging the NanoClaw scheduler. This prevents the agent from freezing during long web searches or complex analysis via the Task API.

How does the Parallel AI Task API work for complex topic analysis?▼

The Parallel AI Task API works by conducting in-depth analysis on complex topics using deep research workflows. It gathers comprehensive information and generates detailed reports without interrupting other agent functions.

Does this Parallel AI MCP integration require Docker installation?▼

Yes, Docker installation is required to use this Parallel AI MCP integration. Along with a Parallel AI API key, Docker is necessary to facilitate the non-blocking operations and scheduler functions.

Related Skills

Explore More Software Engineering Skills→
outfitter-devoutfitter-dev
28

claude-code-configuration

Manage Claude configuration files for MCP servers and environment variables.

Official
Intermediate
wtyler2505wtyler2505
1

learn

Researches topics and grows a provenance-driven knowledge graph via automated AI loops.

Community
Advanced
latestaiagentslatestaiagents
5

llm-rate-limiting

Implement token bucket, sliding window, and concurrency rate limiting for LLM APIs.

Official
Advanced
zakarooozakarooo

web-search

Search the web in real time via the z-ai-web-dev-sdk web_search function.

Community
Intermediate