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parallel-cli

Automate web search, extraction, and monitoring workflows via Parallel CLI with JSON output.

6|2|Updated Mar 19, 2026
Search Tags:#web-search#enrichment#deep-research#monitor#findall#parallel-cli
One-click install
npx skills add https://github.com/GregsGreyCode/Logos --skill parallel-cli-gregsgreycode
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: parallel-cli
Source: https://github.com/GregsGreyCode/Logos/tree/main/skills/research/parallel-cli
Command: npx skills add https://github.com/GregsGreyCode/Logos --skill parallel-cli-gregsgreycode

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Parallel CLI provides a vendor-enabled command-line interface to orchestrate web search, extraction, deep research, enrichment, FindAll, and monitoring workflows for Hermes agents in a non-interactive, JSON-first fashion.

Core Features & Use Cases

  • Web search, extraction, and deep research across multiple sources
  • Async long-running jobs with status and poll
  • Enrichment and entity discovery with FindAll and monitoring workflows
  • JSON-first output and context chaining to reuse prior interactions

Quick Start

Run a quick one-off lookup with parallel-cli search 'AI coding agents comparison' --json to get 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 deep research workflows for multiple sources?▼

Automate web search and deep research workflows for multiple sources by using a command-line interface that orchestrates extraction, enrichment, and monitoring tasks while returning structured, JSON-first outputs.

How do I run long-running search jobs asynchronously and check their status?▼

Run long-running search jobs asynchronously by using async controls like the --no-wait flag, then query the job status and poll for results to retrieve the final structured JSON output when the task completes.

Can I reuse or chain previous web search interactions together?▼

Yes, you can reuse previous web search interactions by applying context chaining with the --previous-interaction-id flag, allowing you to build upon prior query contexts within your agent workflows.

Does this web search CLI support structured JSON output for agent workflows?▼

Yes, this web search CLI supports structured JSON output specifically designed for non-interactive agent workflows, ensuring data is formatted as JSON-first for immediate programmatic consumption and integration.

How do I perform entity discovery and data enrichment across multiple web sources?▼

Perform entity discovery and data enrichment across multiple web sources by utilizing the FindAll and monitoring workflows, which automate the extraction and aggregation of structured data into JSON format for analysis.

What is the best way to integrate non-interactive web research into an automated pipeline?▼

The best way to integrate non-interactive web research into an automated pipeline is using a CLI tool that provides async controls and JSON-first outputs, enabling seamless integration with native tooling and automated workflows.

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