parallel-cli

Run vendor-specific web search and extraction workflows from a terminal CLI.

Updated May 11, 2026
One-click install
npx skills add https://github.com/jason660519/Project-Manager --skill parallel-cli-jason660519
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: parallel-cli
Source: https://github.com/jason660519/Project-Manager/tree/main/hermes-agent/optional-skills/research/parallel-cli
Command: npx skills add https://github.com/jason660519/Project-Manager --skill parallel-cli-jason660519

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Parallel CLI provides a vendor-specific, command-line workflow to perform web search, extraction, deep research, enrichment, FindAll-style entity discovery, and continuous monitoring with structured, machine-friendly outputs.

Core Features & Use Cases

  • Vendor-specific CLI workflow: orchestrates web search, extraction, and deep research tasks from the terminal for non-interactive usage.
  • Asynchronous and JSON-first: supports long-running jobs with --no-wait, status, poll, and consistent JSON outputs for automation.
  • Use Case: ideal for enterprise research, data enrichment, and ongoing monitoring across software and business domains.

Quick Start

Run a web search for the latest AI coding agents using parallel-cli and return results in JSON.

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 tasks asynchronously from a terminal?

Automated web search and deep research tasks can be run asynchronously from a terminal using a CLI that supports non-interactive operation, the --no-wait flag for long-running jobs, and status polling to retrieve results without blocking execution.

Can I get machine-readable JSON output from a command-line web search for data enrichment?

Command-line web search provides JSON-first machine-readable output designed for data enrichment, ensuring structured results that can be directly piped into other automation workflows or downstream processing systems.

Does parallel-cli work on macOS, Linux, and Windows for continuous monitoring?

Parallel-cli supports cross-platform execution on Linux, macOS, and Windows, enabling continuous monitoring and entity discovery workflows consistently across different operating environments without platform-specific modifications.

What is the best way to perform FindAll-style entity discovery and extraction non-interactively?

FindAll-style entity discovery and extraction are best performed non-interactively using a vendor-specific CLI workflow that orchestrates search tasks and returns structured JSON outputs for automated processing.

How do I poll the status of long-running deep research jobs in an automation pipeline?

Long-running deep research jobs can be polled in an automation pipeline using the CLI's built-in status and poll commands, allowing scripts to check progress and retrieve final JSON results once processing completes.

Are there limitations when using asynchronous web search for enterprise research and monitoring?

Asynchronous web search for enterprise research operates non-interactively with vendor-specific orchestration, requiring status polling for job completion and relying on JSON outputs to integrate results into broader monitoring systems.