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Add Parallel AI Integration

Integrate Parallel AI web search and task APIs into the Gandalf assistant.

Updated Feb 10, 2026
Search Tags:#task automation#mcp#web research#api integration#parallel ai#gandalf
One-click install
npx skills add https://github.com/sasha-computer/2026 --skill add-parallel-ai-integration-sasha-computer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Add Parallel AI Integration
Source: https://github.com/sasha-computer/2026/tree/main/gandalf/.claude/skills/add-parallel
Command: npx skills add https://github.com/sasha-computer/2026 --skill add-parallel-ai-integration-sasha-computer

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill integrates Parallel AI's advanced web research and task processing capabilities into the Gandalf assistant, enabling more sophisticated and comprehensive information retrieval and analysis.

Core Features & Use Cases

  • Quick Web Search: Perform fast, free web lookups for current information and facts.
  • Deep Research: Conduct in-depth analysis on complex topics using Parallel's Task API, with user permission.
  • Non-blocking Workflow: Utilizes Gandalf's scheduler for efficient polling of research tasks.
  • Use Case: Ask Gandalf to research a complex historical event, and it will use the Deep Research feature, asking for your permission first, then provide a detailed analysis without blocking its other operations.

Quick Start

Follow the steps to add your Parallel AI API key and configure Gandalf to use the new web research tools.

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 web search and task APIs into an AI assistant for automated research?▼

You can integrate web search APIs into an AI assistant using a non-blocking, scheduled polling mechanism to fetch current information and conduct deep analysis without halting other agent operations.

How does non-blocking scheduled polling work for deep research tasks?▼

Non-blocking scheduled polling delegates long-running research tasks to a scheduler, allowing the assistant to periodically check task status and return comprehensive analysis results without freezing ongoing operations.

Do I need an API key to perform web research and task automation with my agent?▼

Yes, web research and task automation require user API key configuration and modification of agent runner settings to authenticate requests and enable the deep research functionality.

What is the difference between quick web search and deep research in task automation?▼

Quick web search performs fast, free lookups for current facts, while deep research uses task APIs to conduct comprehensive, in-depth analysis of complex topics with user permission.

Does the Parallel AI integration block other assistant operations during complex topic analysis?▼

No, the Parallel AI integration uses a non-blocking workflow via the assistant scheduler, ensuring complex topic analysis runs in the background while other agent operations continue functioning.

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