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parallel-cli

Execute web search, content extraction, and deep research jobs via Parallel CLI.

Updated Jul 13, 2026
Search Tags:#automation#research#cli#web-search#enrichment#data-extraction
One-click install
npx skills add https://github.com/zeronx798/demo-hermes-agent --skill parallel-cli-zeronx798
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: parallel-cli
Source: https://github.com/zeronx798/demo-hermes-agent/tree/main/optional-skills/research/parallel-cli
Command: npx skills add https://github.com/zeronx798/demo-hermes-agent --skill parallel-cli-zeronx798

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the challenge of performing complex, multi-step web research and entity discovery that requires more depth and structure than standard search tools can provide.

Core Features & Use Cases

  • Deep Research: Executes multi-step, asynchronous research jobs with support for different processor tiers.
  • Structured Enrichment: Injects web-derived data into existing datasets, such as finding company details for a list of names.
  • Entity Discovery: Uses FindAll workflows to discover and map entities at scale for research or monitoring.

Quick Start

Use the parallel-cli skill to perform a deep research report on the current state of AI coding agents and save the output to a file.

Frequently Asked Questions about parallel-cli

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

FAQPage Schema
How do I automate deep web research and get structured JSON output?▼

To automate deep web research and get structured JSON output, you can use this skill to execute asynchronous search jobs, extract content, and map entities. It enables multi-step workflows and returns structured data for complex research tasks.

What is the best way to enrich a dataset with company details from the web?▼

The best way to enrich a dataset with web-derived company details is to use structured data enrichment. This skill injects web-extracted data into your existing datasets, finding specific details for a list of names or entities.

Do I need an external binary installed to run asynchronous web search jobs?▼

Yes, you need the parallel-cli binary installed on your host system and an authenticated Parallel account to run asynchronous web search jobs. These prerequisites are required to manage and execute the research workflows.

Can I use this tool to discover and map entities at scale?▼

Yes, you can use this tool to discover and map entities at scale. It utilizes FindAll workflows to execute entity discovery, allowing you to monitor or research multiple entities through asynchronous job management.

How does asynchronous job management work for multi-step research tasks?▼

Asynchronous job management for multi-step research tasks works by executing deep research jobs across different processor tiers. This skill handles the job lifecycle, allowing complex web extraction and enrichment to run without blocking execution.

What's the difference between standard search and agent-native web research?▼

Agent-native web research provides more depth and structure than standard search tools by supporting asynchronous jobs, structured JSON output, and entity discovery. It solves the challenge of performing complex, multi-step research workflows.

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