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parallel-cli

Orchestrate vendor-specific web search, extraction, and research workflows via terminal CLI.

Updated Apr 9, 2026
Search Tags:#extraction#web-search#enrichment#deep-research#monitor#parallel-cli
One-click install
npx skills add https://github.com/nadicodeai/argo-agent --skill parallel-cli-nadicodeai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: parallel-cli
Source: https://github.com/nadicodeai/argo-agent/tree/main/optional-skills/research/parallel-cli
Command: npx skills add https://github.com/nadicodeai/argo-agent --skill parallel-cli-nadicodeai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Parallel CLI provides a vendor-specific orchestration layer to perform web searches, extract results, and run deep research tasks from a terminal, enabling structured outputs and advanced workflows.

Core Features & Use Cases

  • Web search, extraction, and deep research orchestration from a terminal using a vendor-specific stack.
  • Enrichment, FindAll-style entity discovery, and ongoing monitoring via a unified CLI workflow.
  • Outputs are structured (JSON) for downstream automation and logging, with non-interactive, script-friendly operation.

Quick Start

Run a non-interactive web search with parallel-cli for a given query.

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 data extraction from a terminal?▼

You can automate web search and data extraction from a terminal by using a CLI to orchestrate vendor-specific workflows, run non-interactive queries, and output structured JSON for downstream logging and automation.

Can I run deep research workflows non-interactively for script automation?▼

Yes, deep research workflows can be run non-interactively to support script automation. The CLI operates deterministically in non-interactive modes, enabling seamless integration into automated pipelines without requiring user input.

How do I get structured JSON output from web search results for downstream processing?▼

To get structured JSON output from web search results, you execute search queries through the CLI. It formats the extracted web data directly into structured JSON, making it immediately ready for downstream automation and logging.

Does CLI-based web enrichment support ongoing monitoring across web sources?▼

CLI-based web enrichment supports ongoing monitoring across web sources. You can configure the unified CLI workflow to continuously track changes and extract structured data from specified web entities over time.

What is the best way to perform entity discovery and data enrichment via command line?▼

The best way to perform entity discovery and data enrichment via command line is using a unified CLI workflow. It applies FindAll-style entity discovery to locate and enrich web data while outputting structured JSON.

Can I chain context from previous interactions in a terminal-based web research workflow?▼

Yes, you can chain context from previous interactions in a terminal-based web research workflow. The CLI supports context chaining, allowing subsequent commands to build upon prior search and extraction interactions.

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