skills.rest
HokageYeah
HokageYeahCOMMUNITY
Explore all skills by this author →
GitHub

Add Parallel AI Integration

Integrate Parallel AI Search and Task APIs into NanoClaw with non-blocking polling.

Updated Feb 12, 2026
Search Tags:#containerization#ai integration#web research#api integration#parallel ai#assistant skills
One-click install
npx skills add https://github.com/HokageYeah/cn_nanoclaw --skill add-parallel-ai-integration
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Add Parallel AI Integration
Source: https://github.com/HokageYeah/cn_nanoclaw/tree/main/.claude/skills/add-parallel
Command: npx skills add https://github.com/HokageYeah/cn_nanoclaw --skill add-parallel-ai-integration

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, allowing for quick lookups and in-depth analysis of online information without blocking the main process.

Core Features & Use Cases

  • Quick Search: Perform fast web lookups using the Parallel Search API for immediate factual information.
  • Deep Research: Conduct comprehensive analysis using the Parallel Task API for complex topics, requiring user permission.
  • Non-blocking Design: Utilizes NanoClaw's scheduler to poll for results, ensuring the assistant remains responsive.
  • Use Case: Ask your assistant to "research the history of renewable energy" and it will use the Deep Research tool, asking for your permission first, then provide a detailed report without freezing.

Quick Start

Use the add-parallel skill to integrate Parallel AI web research tools into your assistant.

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 capabilities into an AI assistant without blocking the main process?▼

You can integrate web search capabilities without blocking by using a scheduler to poll for results. This non-blocking design ensures the assistant remains responsive while fetching data via a Search API for quick lookups.

How does non-blocking task polling work for deep research API requests?▼

Non-blocking task polling works by utilizing the assistant framework's scheduler to periodically check for Task API completion. This allows comprehensive web analysis to run in the background without freezing the assistant's main execution thread.

Do I need an API key to configure parallel AI web research tools?▼

Yes, you need a user API key to configure parallel AI web research tools. You must update the container runner and agent runner scripts with your API key to enable both Search API and Task API execution.

What is the difference between quick web lookups and deep research in AI integration?▼

Quick web lookups use the Search API for immediate factual information, while deep research uses the Task API for comprehensive topic analysis. Deep research requires user permission before execution due to its complex processing requirements.

Can I conduct in-depth analysis of online information using a containerized assistant?▼

Yes, you can conduct in-depth analysis using a containerized assistant by integrating the Task API. The container runner executes the research tasks, and the scheduler polls for results to deliver a detailed report without freezing.

What are the limitations of using a scheduler for API result polling?▼

The scheduler handles polling to prevent blocking, but Task API deep research requires explicit user permission before starting. Additionally, you must manually configure container runner and agent runner scripts with a valid API key.

Related Skills

Explore More Software Engineering Skills→
mbaker95mbaker95

add-parallel

Integrate Parallel AI web search and task APIs into NanoDex.

Community
Advanced
manykarimmanykarim
27

robotframework-results

Process Robot Framework output.xml files into structured JSON reports.

Community
Intermediate
SomtoUgehSomtoUgeh
2

background-agents

Coordinate parallel background agents and monitor progress via TaskOutput.

Community
Advanced
antgroupantgroup
16

jina-reader

Extract web content as markdown and perform search-based grounding via the Jina AI Reader API.

Official
Intermediate