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parallel-cli

Automate web searches, content extraction, and multi-step research jobs.

2|1|Updated May 10, 2026
Search Tags:#automation#research#monitoring#data#extraction#web
One-click install
npx skills add https://github.com/zli5460/hermes-agent-X-Phoenix-Architecture --skill parallel-cli-zli5460
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: parallel-cli
Source: https://github.com/zli5460/hermes-agent-X-Phoenix-Architecture/tree/main/optional-skills/research/parallel-cli
Command: npx skills add https://github.com/zli5460/hermes-agent-X-Phoenix-Architecture --skill parallel-cli-zli5460

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires parallel-web-tools, and includes scripts (resource) components.

What problem does it solve?

This Skill automates complex web research, extraction, and monitoring tasks, reducing manual effort and increasing efficiency.

Core Features & Use Cases

  • Web Search & Extraction: Perform structured web searches and extract targeted content from URLs.
  • Deep Research & Polling: Launch multi-step, multi-processor research jobs that can be monitored and summarized later.
  • Use Case: Imagine you're gathering competitive intelligence on AI startups; use this Skill to run a series of searches, extract relevant data, and compile results without manual browsing.

Quick Start

Use the parallel-cli to search quickly web results and generate structured data for analysis.

Frequently Asked Questions about parallel-cli

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

FAQPage Schema
How do I automate web research and data extraction for competitive intelligence?▼

Automating web research involves using multi-processor jobs to perform structured searches and extract targeted content from URLs, compiling results without manual browsing. This reduces manual effort and increases efficiency when gathering competitive intelligence.

Can I monitor and summarize multi-step research jobs at a later time?▼

Yes, you can monitor and summarize multi-step research jobs at a later time. The system launches deep research polling tasks that run asynchronously, allowing you to track progress and extract summarized information whenever needed.

Do I need parallel-web-tools to perform structured web searches?▼

Yes, parallel-web-tools is a required dependency to perform structured web searches. This prerequisite environment provides the foundational web tools needed to execute the extraction and monitoring workflows.

What's the best way to extract targeted content from multiple URLs?▼

The best way to extract targeted content from URLs is launching structured web searches that fetch and parse specific page data. This automated extraction process streamlines information gathering and supports in-depth analysis.

How does deep research polling work for gathering data on AI startups?▼

Deep research polling works by launching multi-step, multi-processor jobs that execute a series of web searches, extract relevant data, and compile structured results. This automates the information gathering process for topics like AI startups.

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