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parallel-cli

Execute Parallel CLI workflows for web search, extraction, and monitoring.

1|Updated Apr 10, 2026
Search Tags:#monitoring#web search#extraction#deep research#enrichment#parallel-cli
One-click install
npx skills add https://github.com/zerwiz/wayofpi --skill parallel-cli-zerwiz
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: parallel-cli
Source: https://github.com/zerwiz/wayofpi/tree/main/.hermes/hermes-agent/optional-skills/research/parallel-cli
Command: npx skills add https://github.com/zerwiz/wayofpi --skill parallel-cli-zerwiz

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Parallel CLI removes the friction of switching between browser tabs and terminal workflows when you need structured web research, extraction, enrichment, or ongoing monitoring. It helps agents and operators get machine-readable results without manual copying, pasting, or ad hoc follow-up steps.

Core Features & Use Cases

  • Web Search: Find current information with filters, domains, dates, and JSON output for downstream processing.
  • Extraction and Fetching: Pull clean page content from URLs for summarization, quoting, or targeted analysis.
  • Deep Research: Launch multi-step research jobs, poll for completion, and chain follow-up questions using prior context.
  • Enrichment and FindAll: Expand datasets with inferred fields or discover entity lists for review and later analysis.
  • Monitoring: Track pages or sources over time for changes, events, or recurring updates.
  • Use Case: A research agent can search a topic, extract supporting pages, enrich a company list, and monitor sources for future changes in one consistent workflow.

Quick Start

Ask the assistant to use parallel-cli to search your topic, return JSON results, and summarize the most relevant sources with citations.

Frequently Asked Questions about parallel-cli

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

FAQPage Schema
How do I run deep web research from the terminal and get JSON output?▼

Deep web research from the terminal is executed through Parallel CLI workflows that launch multi-step jobs, poll for completion, and return structured JSON output. This enables agents to chain follow-up questions using prior context for reliable, machine-readable dataset expansion.

What is the best way to monitor web pages for changes without a browser?▼

Monitoring web pages for changes without a browser is handled by Parallel CLI monitoring workflows that track sources over time for updates. It operates non-interactively in the terminal, applying long-running job polling to detect events and recurring changes with structured JSON results.

Can I extract clean page content from URLs for downstream analysis in the terminal?▼

Extracting clean page content from URLs in the terminal is supported by Parallel CLI extraction workflows. It fetches page data non-interactively and returns structured JSON output, providing machine-readable content for summarization, quoting, or targeted analysis without manual copying.

How do I enrich a dataset with inferred fields using a command line tool?▼

Enriching a dataset with inferred fields using a command line tool is achieved through Parallel CLI enrichment workflows. It expands existing datasets and discovers entity lists using non-interactive command execution, returning structured JSON output for later review and analysis.

Does Parallel CLI handle authentication for automated web searches?▼

Parallel CLI handles authentication for automated web searches as part of its non-interactive command execution design. It manages authentication alongside long-running job polling to ensure reliable agent use when fetching filtered web search results with JSON output.

When should I not use a terminal-native research workflow for web extraction?▼

Terminal-native research workflows for web extraction should not be used when you require interactive browser sessions or non-JSON output formats. Parallel CLI is designed strictly for non-interactive command execution, authentication handling, and returning structured JSON, making it unsuitable for manual visual exploration.

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