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cloudliness
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parallel-cli

Run web search, extraction, research, enrichment, and monitoring via a uniform CLI.

Updated Mar 26, 2026
Search Tags:#cli#parallel#web-search#enrichment#deep-research#monitor#findall
One-click install
npx skills add https://github.com/cloudliness/Hermes-Autonomous-AI-Agent-Dialed-In-For-Windows-11 --skill parallel-cli-cloudliness
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: parallel-cli
Source: https://github.com/cloudliness/Hermes-Autonomous-AI-Agent-Dialed-In-For-Windows-11/tree/main/skills/research/parallel-cli
Command: npx skills add https://github.com/cloudliness/Hermes-Autonomous-AI-Agent-Dialed-In-For-Windows-11 --skill parallel-cli-cloudliness

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Parallel-cli provides a vendor-backed, command-line workflow to perform web search, extraction, deep research, enrichment, and monitoring with structured outputs, enabling teams to orchestrate complex knowledge tasks without bespoke integrations.

Core Features & Use Cases

  • JSON output for machine readability and easy integration with other tools.
  • Non-interactive, async-capable workflows for long-running tasks with status/poll and --no-wait options.
  • Context chaining and a uniform interface for search, extract, research, enrich, findall, and monitor operations.
  • Suitable for quick lookups, in-depth research, data enrichment, and ongoing monitoring of sources.

Quick Start

Run a quick search with parallel-cli search "AI coding agents" --json to obtain structured results.

Frequently Asked Questions about parallel-cli

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

FAQPage Schema
How do I perform vendor-backed web search and extraction from the command line?▼

You can perform a vendor-backed web search using a CLI interface that supports structured JSON output. This allows you to execute quick lookups and extract data directly from the command line for machine-readable results.

Can I run async research workflows and monitor long-running tasks non-interactively?▼

Yes, async research workflows support non-interactive execution with status polling and a --no-wait option. This enables you to monitor long-running tasks and retrieve results without keeping an active session open.

What is context chaining and how does it work for enrichment tasks?▼

Context chaining links sequential operations using a --previous-interaction-id parameter. This allows you to pass prior search context into subsequent enrichment tasks, ensuring data continuity across multi-step workflows.

Does the CLI research workflow support JSON output for data enrichment pipelines?▼

Yes, the research workflow supports a --json output flag specifically designed for data enrichment pipelines. This provides structured, machine-readable results that integrate easily with other tools in your pipeline.

What's the best way to monitor web sources continuously using a CLI?▼

The best way to monitor web sources continuously is using the dedicated monitor subcommand within a CLI workflow. It provides ongoing source tracking with structured outputs, enabling automated alerts without bespoke integrations.

How do I find all matching results across sources instead of just top search hits?▼

You can find all matching results by using the findall subcommand. This executes a comprehensive search across specified sources, returning structured outputs that capture exhaustive matches rather than just top hits.

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