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.