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parallel-cli

Run search, extract, research, enrich, findall, and monitor tasks via CLI with JSON outputs.

Updated Apr 26, 2026
Search Tags:#automation#cli#json#web-search#enrichment#deep-research#parallel-cli
One-click install
npx skills add https://github.com/dawsonblock/HERMY --skill parallel-cli-dawsonblock
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: parallel-cli
Source: https://github.com/dawsonblock/HERMY/tree/main/hermes-agent-2026.4.23/optional-skills/research/parallel-cli
Command: npx skills add https://github.com/dawsonblock/HERMY --skill parallel-cli-dawsonblock

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Hermes agents rely on multiple tools to perform web research, leading to fragmented workflows and slower insight delivery. parallel-cli provides a unified, vendor-backed interface to orchestrate web search, extraction, deep research, enrichment, FindAll, and monitoring with consistent JSON outputs.

Core Features & Use Cases

  • JSON-first outputs and non-interactive flows for scalable automation.
  • Supports search, extract, research, enrichment, FindAll, and monitor workflows in a single CLI.
  • Ideal for rapid, reproducible agent-driven investigations, competitive analysis, and data enrichment pipelines.

Quick Start

Install parallel-cli and run a first non-interactive search with JSON output to begin an integrated research flow.

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 workflows with JSON outputs?▼

Automate multi-step web research workflows using a vendor CLI that orchestrates search, extract, and enrichment tasks while returning structured JSON outputs. It supports non-interactive flows and context chaining for scalable agent-driven investigations.

What is a CLI-based approach for asynchronous web search and entity discovery?▼

A CLI-based approach provides commands like search, findall, and monitor to execute long-running tasks and entity discovery. It polls status and chains context across operations, delivering JSON-first results for agent workflows.

How do I run non-interactive data extraction and enrichment pipelines from the command line?▼

Run non-interactive data extraction and enrichment pipelines by executing vendor CLI commands like extract and enrich. These commands process web data and output structured JSON for automated data pipelines and competitive analysis.

Does parallel-cli support context chaining and status polling for long-running research tasks?▼

Yes, parallel-cli supports context chaining and status polling for long-running research tasks. It uses commands like research and monitor to manage asynchronous workflows and deliver structured JSON outputs upon completion.

What are the limitations of using a vendor CLI for deep research automation?▼

Limitations include dependency on the vendor's backend for executing search and monitoring tasks. While it provides JSON-first outputs, users must ensure their agent workflows support CLI integration and asynchronous status polling.

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