parallel-cli

Execute asynchronous web research and entity discovery jobs via command-line interface.

1|Updated Jul 31, 2026
One-click install
npx skills add https://github.com/icyzh/hermes-web --skill parallel-cli-icyzh
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: parallel-cli
Source: https://github.com/icyzh/hermes-web/tree/main/optional-skills/research/parallel-cli
Command: npx skills add https://github.com/icyzh/hermes-web --skill parallel-cli-icyzh

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the challenge of performing complex, multi-step web research and entity discovery that exceeds the capabilities of simple one-shot search queries.

Core Features & Use Cases

  • Deep Research: Executes multi-step, asynchronous research jobs with configurable processor tiers.
  • Structured Enrichment: Injects web-derived data into existing datasets using intent-based planning.
  • Entity Discovery: Performs web-scale FindAll operations to build datasets of entities like startups or market trends.
  • Use Case: Use this to research the competitive landscape of AI coding agents, including pricing and enterprise controls, and generate a structured report.

Quick Start

Use the parallel-cli skill to perform a deep research run on the current state of AI coding agents and return the results in JSON format.

Frequently Asked Questions about parallel-cli

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

FAQPage Schema
How do I automate multi-step web research and entity discovery from the command line?

Automate multi-step web research using a CLI that executes asynchronous research jobs with configurable processor tiers to gather complex information and discover web-scale entities. It facilitates deep research workflows via asynchronous job execution.

What is data enrichment and how does it work for existing datasets?

Data enrichment injects web-derived data into existing datasets using intent-based planning. It structures the injected information to augment your current records with relevant web data discovered during the research process.

Do I need an API key to run asynchronous research jobs?

Yes, you need an API key because asynchronous research jobs require authentication. This authentication validates your CLI requests before executing long-running deep research and entity discovery tasks.

Can I perform web-scale FindAll operations to build datasets of specific entities like startups?

Yes, you can perform web-scale FindAll operations to build datasets of entities like startups or market trends. This entity discovery capability identifies and aggregates specific entities across the web.

What's the best way to monitor ongoing web content for research-heavy workflows?

Monitor ongoing web content by configuring asynchronous research jobs through the command line interface. This approach supports long-running tasks and continuous monitoring for research-heavy workflows requiring regular updates.

How do I return deep research results in JSON format for a competitive landscape analysis?

Return deep research results in JSON format by executing a research run via the command line interface. The CLI processes the competitive landscape analysis and structures the gathered data into a JSON report.