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Devsoul2026
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parallel-cli

Run Parallel CLI web research workflows with JSON-first output and async operations.

150|25|Updated Apr 20, 2026
Search Tags:#cli#async#web-research#json-output#data-enrichment#parallel-cli
One-click install
npx skills add https://github.com/Devsoul2026/Hermes-One-Click --skill parallel-cli-devsoul2026
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: parallel-cli
Source: https://github.com/Devsoul2026/Hermes-One-Click/tree/main/hermes-agent/optional-skills/research/parallel-cli
Command: npx skills add https://github.com/Devsoul2026/Hermes-One-Click --skill parallel-cli-devsoul2026

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Solve fragmented, manual web research by providing a vendor-backed Parallel CLI workflow for structured lookups, extraction, and enrichment.

Core Features & Use Cases

  • JSON-first outputs: all results are formatted for machine consumption and downstream processing.
  • Async, non-interactive workflows: launch long-running tasks with status and polling, ideal for batch research.
  • Comprehensive subcommands: search, extract, research, enrich, findall, and monitor enable end-to-end data collection, analysis, and monitoring.
  • Contextual chaining: reuse prior interactions via previous-interaction-id to maintain continuity across steps.

Quick Start

Run a quick query with parallel-cli search "site:example.com AI startups" --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 extract structured JSON data from web research tasks?▼

Structured JSON data from web research tasks is extracted using a CLI workflow that formats all search, extraction, and enrichment results for machine consumption and downstream processing.

What is the best way to run batch web research asynchronously?▼

Running batch web research asynchronously is handled by launching long-running tasks with non-interactive workflows, using status and polling commands to monitor progress without blocking execution.

Can I chain multiple web extraction steps together for data enrichment?▼

Chaining multiple web extraction steps for data enrichment is supported by reusing prior interactions via a previous-interaction-id, maintaining continuity across search, extract, and enrich operations.

Does the Parallel CLI support non-interactive operation for automated lookups?▼

The Parallel CLI supports non-interactive operation for automated lookups by providing async launches with no-wait flags, status polling, and JSON-first outputs tailored for agent-driven workflows.

What subcommands are available for web data collection and monitoring?▼

Subcommands available for web data collection and monitoring include search, extract, research, enrich, findall, and monitor, covering end-to-end data collection, analysis, and ongoing monitoring.

When should I use async polling instead of one-shot lookups for web research?▼

Async polling should be used instead of one-shot lookups when performing batch research or long-running monitoring tasks, while one-shot lookups suit quick, single-query structured extractions.

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