parallel-cli

Execute web search, extraction, and deep research workflows via Parallel CLI.

Updated Apr 23, 2026
One-click install
npx skills add https://github.com/Rawgrowth-Consulting/rawclaw-agent --skill parallel-cli-rawgrowth-consulting
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: parallel-cli
Source: https://github.com/Rawgrowth-Consulting/rawclaw-agent/tree/main/optional-skills/research/parallel-cli
Command: npx skills add https://github.com/Rawgrowth-Consulting/rawclaw-agent --skill parallel-cli-rawgrowth-consulting

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Enables automated web search, data extraction, and deep research workflows through the Parallel CLI, reducing manual effort and enabling structured results.

Core Features & Use Cases

  • Agent-native web search, extraction, deep research, enrichment, FindAll-style discovery, and monitoring using parallel-cli.
  • Use case: run long-running research tasks with JSON output and non-interactive flows for automation pipelines.
  • Use Case: perform multi-source reconnaissance and generate structured datasets for downstream analytics.

Quick Start

Launch a non-interactive web search and data enrichment workflow using parallel-cli.

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 structured JSON output?

Automated web search and data extraction for structured JSON output is achieved by executing non-interactive workflows through the Parallel CLI. It enforces JSON formatting and enables async operations for automation pipelines.

What is FindAll-style discovery and how does it work for multi-source research?

FindAll-style discovery performs multi-source reconnaissance to locate and aggregate information across various platforms. It generates structured datasets by applying polling and monitoring patterns via the Parallel CLI.

Can I run long-running research tasks asynchronously with non-interactive execution?

Long-running research tasks can be run asynchronously with non-interactive execution using the Parallel CLI. This approach enforces polling and monitoring patterns to deliver structured JSON results for downstream analytics.

How do I enrich web search results and monitor multiple sources automatically?

Web search results are enriched and multiple sources are monitored automatically by applying the Parallel CLI's async operations. It enforces non-interactive execution and JSON output to build structured datasets.

Does the Parallel CLI support polling and monitoring patterns for automation pipelines?

The Parallel CLI supports polling and monitoring patterns for automation pipelines by enforcing non-interactive execution. It delivers JSON-based outputs suitable for downstream data analytics and structured dataset generation.