parallel-cli

Name: parallel-cli
Availability: InStock
Author: brittaniebuffiecsu

Manage research queries via Parallel API with JSON output.

1|Updated Feb 17, 2026

Search Tags:#research #monitoring #search #entity #web

Ready to run

npx skills add https://github.com/brittaniebuffiecsu/zerogravityclaw --skill parallel-cli-brittaniebuffiecsu

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: parallel-cli
Source: https://github.com/brittaniebuffiecsu/zerogravityclaw/tree/main/src/hermes-core/optional-skills/research/parallel-cli
Command: npx skills add https://github.com/brittaniebuffiecsu/zerogravityclaw --skill parallel-cli-brittaniebuffiecsu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires parallel-cli, and includes scripts (resource) components.

What problem does it solve?

This Skill tackles complex research tasks efficiently, providing advanced web search, deep research, enrichment, FindAll, and monitoring through an optional, third-party agent-native tool, Parallel CLI.

Core Features & Use Cases

Deep Research: Execute intricate research workflows with synchronous and asynchronous job control.
Entity Enrichment: Enhance existing data with additional research-based information.
FindAll Discovery: Discover and collect a dataset of web-scale entities matching search criteria.
Ongoing Monitoring: Continuously track changes in the online space related to your interests.
Use Case: When you need a comprehensive analysis of market trends, competitor actions, or emerging technologies.

Quick Start

Run 'parallel-cli research run "Market trends for AI in 2023" --no-wait --json' to initiate an asynchronous research task without immediate results.

Frequently Asked Questions about parallel-cli

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

FAQPage Schema

How do I automate complex web research and extract structured data asynchronously?▼

Automate complex web research by executing asynchronous research tasks with non-interactive operations, which return structured JSON data extraction outputs without waiting for immediate results.

What is entity discovery and how does web-scale search monitoring work?▼

Entity discovery is the process of collecting web-scale datasets matching specific search criteria, while monitoring works by continuously tracking online changes for specified topics to provide ongoing research updates.

Do I need an external API authorization to run deep research workflows?▼

Yes, you need authorization with the Parallel API to run deep research workflows, which manage intricate synchronous and asynchronous job controls for complex query execution.

Can I enrich existing datasets with additional research-based information?▼

Yes, you can enrich existing datasets by executing entity enrichment tasks, which enhance your current data with additional research-based information extracted from web sources.

What are the limitations of using non-interactive mode for deep analysis?▼

Non-interactive mode limitations include requiring JSON output formatting and asynchronous job control, meaning you do not receive immediate synchronous results when running complex research workflows.

Is there a way to monitor competitor actions and emerging technology trends continuously?▼

Yes, continuous monitoring tracks online changes related to your interests, providing comprehensive analysis of market trends, competitor actions, and emerging technologies through structured data extraction.