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parallel-cli

Orchestrate vendor-specific web search, extraction, and enrichment workflows with JSON outputs.

Updated Apr 21, 2026
Search Tags:#automation#research#monitoring#extraction#web-search#enrichment#parallel-cli
One-click install
npx skills add https://github.com/samuelmukoti/myai-agent --skill parallel-cli-samuelmukoti
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: parallel-cli
Source: https://github.com/samuelmukoti/myai-agent/tree/main/optional-skills/research/parallel-cli
Command: npx skills add https://github.com/samuelmukoti/myai-agent --skill parallel-cli-samuelmukoti

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

parallel-cli provides a vendor-specific orchestration layer for web search, data extraction, and deep research within AI agent workflows, enabling structured, repeatable outputs.

Core Features & Use Cases

  • JSON-output driven searches, extractions, and research tasks
  • Async long-running jobs with status and poll, context chaining, and non-interactive workflows
  • Comprehensive monitoring, enrichment, and entity discovery for enterprise-grade agent operations

Quick Start

Run a one-shot search with JSON output for a representative 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 for AI agents with JSON output?▼

You can automate web search and data extraction by running non-interactive workflows that orchestrate vendor-specific queries and return structured JSON outputs directly for AI agent processing.

What is the best way to handle long-running research tasks and monitor their status in an automated workflow?▼

Long-running research tasks are handled using asynchronous operations with status polling, enabling automated monitoring of deep web research jobs until completion without manual intervention.

Can I chain context across multiple search and enrichment tasks for entity discovery?▼

Context chaining allows you to link multiple search, extraction, and enrichment tasks sequentially, passing entity discovery data between operations to build comprehensive research profiles.

Does this orchestration approach support non-interactive mode for enterprise agent operations?▼

Non-interactive mode is fully supported, enabling enterprise-grade agent operations to execute automated monitoring and research workflows with consistent command structures and JSON outputs.

How do I run a one-shot search query and get structured data back immediately?▼

A one-shot search executes a representative query in a single command, immediately returning structured JSON output containing the extracted web research data for your agent workflow.

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