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parallel-cli

Execute agent-native web research workflows from a CLI with JSON output.

1|Updated May 16, 2026
Search Tags:#monitoring#web search#data enrichment#deep research#entity discovery#cli automation#web extraction
One-click install
npx skills add https://github.com/devMoez/titan --skill parallel-cli-devmoez
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: parallel-cli
Source: https://github.com/devMoez/titan/tree/main/optional-skills/research/parallel-cli
Command: npx skills add https://github.com/devMoez/titan --skill parallel-cli-devmoez

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Parallel CLI helps you do richer, agent-native web research—searching, extracting, enriching entities, and monitoring changes—without leaving your terminal or manually stitching multiple tools together.

Core Features & Use Cases

  • Parallel-native web search and extraction: Produce structured outputs to quickly gather sources and extract the content you actually need.
  • Deep research with enrichment and entity discovery: Run multi-step research jobs (including FindAll) and convert results into datasets you can review or feed into follow-ups.
  • Monitoring and change detection: Set up recurring tracking workflows for pages/sources when you need updates over time.

Use case: You need to compare AI coding agent vendors and their enterprise controls; launch a deep research job, then summarize the final report using only the returned URLs.

Quick Start

Use parallel-cli to run a structured search with JSON output for your research question.

Frequently Asked Questions about parallel-cli

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

FAQPage Schema
How do I run parallel web research from a CLI and get structured JSON output?▼

Parallel web research from a CLI is executed by running agent-native search and extraction workflows with the --json flag, producing structured JSON-first data pipelines for your research question.

Can I set up monitoring and change detection for web pages without manual polling?▼

Web monitoring and change detection are handled by setting up recurring tracking workflows for targeted pages, automatically polling sources over time to capture updates without manual intervention.

How do I extract entities and enrich data during multi-step deep research?▼

Entity discovery and data enrichment are performed by launching multi-step deep research jobs that chain follow-up context, converting extracted web content into structured datasets for review.

Does CLI automation support asynchronous job execution and polling?▼

CLI automation supports asynchronous job execution by using the --no-wait flag, allowing you to initiate non-interactive jobs and subsequently check their status using dedicated poll commands.

What is the best way to ensure strict citation from returned URLs in automated research?▼

Strict citation from returned URLs is enforced natively by the CLI research workflows, ensuring that all summarized reports and extracted data outcomes reference their original web sources directly.

When should I use non-interactive terminal workflows for web extraction instead of manual tools?▼

Non-interactive terminal workflows for web extraction are ideal when you need to stitch multi-step research runs, async job polling, and JSON-first data pipelines together without manual overhead.

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