parallel-cli

Automate vendor-specific web search and deep-research workflows via CLI subcommands with JSON output.

97|8|Updated Mar 20, 2026
One-click install
npx skills add https://github.com/peteromallet/megaplan --skill parallel-cli-peteromallet
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: parallel-cli
Source: https://github.com/peteromallet/megaplan/tree/main/megaplan/agent/skills/research/parallel-cli
Command: npx skills add https://github.com/peteromallet/megaplan --skill parallel-cli-peteromallet

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Parallel CLI addresses the need for vendor-specific web search, deep research, enrichment, and monitoring within agent workflows, enabling structured, repeatable investigations.

Core Features & Use Cases

  • JSON-first output for machine readability and automation.
  • Async, non-interactive workflows with status polling for long-running tasks.
  • Integrated subcommands for search, extract, research, enrich, findall, and monitor, enabling end-to-end research pipelines.
  • Example use case: run a multi-step investigation on a company, extract pages, enrich data with facts, and monitor updates over time.

Quick Start

Invoke the parallel-cli tool with a research goal and ask for JSON output to start an asynchronous workflow.

Frequently Asked Questions about parallel-cli

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

FAQPage Schema
How do I automate deep web research for autonomous agents?

Automating deep web research for agents requires a non-interactive CLI tool that outputs JSON. This skill handles end-to-end workflows including search, extract, research, enrichment, and monitoring to enable structured, repeatable investigations without manual intervention.

What's the best way to enrich web search data in an automated workflow?

Enriching web search data in an automated workflow is best handled via an integrated subcommand pipeline. You can extract pages, enrich the data with facts, and monitor updates over time while receiving JSON-first output for machine readability and async status polling for long-running tasks.

How do I handle long-running web search tasks in a command-line environment?

Handling long-running web search tasks in a command-line environment requires async, non-interactive workflows with status polling. This skill supports asynchronous operations, allowing you to start a research goal and poll its status until completion without blocking the CLI.

Can I run structured web investigations and output JSON from the command line?

Running structured web investigations with JSON output from the command line is fully supported. The CLI provides dedicated subcommands for search, extract, research, enrich, findall, and monitor, delivering JSON-first output designed for machine readability and automation pipelines.

Do I need authentication to use an agent-native CLI for web research?

Authentication is required to use this agent-native CLI for web research. The skill includes specific guidance for handling authentication and errors during command-line interaction, ensuring your automated vendor-specific search and deep-research workflows run securely.