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parallel-cli

Orchestrate vendor web search, extraction, and research tasks for Hermes agents.

Updated May 3, 2026
Search Tags:#asynchronous#web-search#enrichment#deep-research#json-output#parallel-cli
One-click install
npx skills add https://github.com/Yangel-hide/video-production-planner-agent --skill parallel-cli-yangel-hide
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: parallel-cli
Source: https://github.com/Yangel-hide/video-production-planner-agent/tree/main/optional-skills/research/parallel-cli
Command: npx skills add https://github.com/Yangel-hide/video-production-planner-agent --skill parallel-cli-yangel-hide

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates vendor-led web search, extraction, and deep research tasks for Hermes agents, helping teams gather structured insights without manual triage.

Core Features & Use Cases

  • Vendor-backed workflows: orchestrates search, extract, research, enrichment, FindAll, and monitoring in a single CLI.
  • Asynchronous processing: supports long-running jobs with status polling and context chaining for multi-step tasks.
  • Structured outputs: emphasizes JSON-oriented results to fuel automated decision-making and records.

Quick Start

Run a quick lookup with parallel-cli search "latest AI coding agent funding" --json to obtain structured results.

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 search and extraction for asynchronous research tasks?▼

Automate web search and extraction by orchestrating vendor-backed workflows through a CLI, enabling asynchronous processing with status polling and context chaining for multi-step research tasks.

What is the best way to get structured JSON output from deep web research?▼

Obtain structured JSON output from deep web research by running CLI commands that emphasize JSON-oriented results, fueling automated decision-making and structured citations for returned sources.

How does context chaining work for long-running asynchronous research jobs?▼

Context chaining for long-running asynchronous research jobs works by supporting status polling across multi-step tasks, allowing Hermes agents to maintain state and build upon previous search and extraction results.

Can I use this CLI for automated competitive research and ongoing monitoring?▼

Yes, you can use this CLI for automated competitive research and ongoing monitoring, applying it to automated knowledge discovery across asynchronous workflows with robust error handling.

Do I need explicit authentication to run vendor web search workflows?▼

Yes, explicit authentication is required to run vendor web search workflows, ensuring robust error handling and secure access when orchestrating search, extraction, and enrichment tasks.

What are the limitations of using a CLI for automated knowledge discovery?▼

Limitations of using a CLI for automated knowledge discovery include dependency on explicit authentication, the need for manual status polling for asynchronous jobs, and the requirement to handle structured JSON outputs programmatically.

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