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parallel-cli

Executes web research, extraction, and analysis via Parallel's API.

2|Updated May 22, 2026
Search Tags:#data extraction#monitoring#web search#AI research#deep research#enrichment
One-click install
npx skills add https://github.com/519lab/thoth-agent --skill parallel-cli-519lab
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: parallel-cli
Source: https://github.com/519lab/thoth-agent/tree/main/optional-skills/research/parallel-cli
Command: npx skills add https://github.com/519lab/thoth-agent --skill parallel-cli-519lab

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill solves the challenge of complex web research by offering powerful web search, extraction, deep research, enrichment, FindAll, and monitoring capabilities.

Core Features & Use Cases

  • Web Search: Conduct detailed web searches with various parameters such as date, domain, and result count.
  • Extraction: Extract structured data from web pages for analysis.
  • Deep Research: Perform multi-step research tasks asynchronously.
  • Enrichment: Enhance data with additional information from web research.
  • FindAll: Discover datasets of entities on the web.
  • Monitoring: Detect ongoing changes over time.
  • Use Case: If you need to compare the latest pricing models of different AI coding agents and track changes over time, this skill can be very useful.

Quick Start

Run a deep research task on AI coding agents by typing parallel-cli research run "Compare AI coding agents" --processor core --json.

Frequently Asked Questions about parallel-cli

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

FAQPage Schema
How do I extract structured data from web pages for analysis?▼

You can extract structured data from web pages by running extraction commands via the Parallel API. This approach transforms unstructured web content into formatted datasets ready for analysis.

How does asynchronous deep research work for complex web searches?▼

Deep research executes multi-step research tasks asynchronously using the Parallel API. It automatically chains web searches and extractions to synthesize comprehensive answers without manual intervention.

Can I use web monitoring to track changes to pricing models over time?▼

Yes, web monitoring detects ongoing changes to specified web pages over time. You can track dynamic content like pricing models by setting up continuous monitoring tasks.

Do I need a Parallel account to perform web data enrichment?▼

Yes, web data enrichment requires a Parallel account and internet access to run. It enhances existing datasets by appending additional information gathered from automated web research tasks.

What's the best way to discover datasets of entities on the web?▼

The FindAll feature discovers datasets of entities on the web by querying the Parallel API. It identifies and aggregates matching entities across multiple sources into a unified collection.

How do I conduct detailed web searches with specific date and domain filters?▼

Web search supports filtering by parameters like date, domain, and result count via the Parallel API. You pass these constraints directly in your search command to retrieve highly targeted results.

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