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parallel

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52Community RegistryGeneralby Parallel Web Systems · MIT

Parallel CLI integration for web search, URL extraction, deep research, bulk data enrichment, entity discovery (FindAll), and continuous web monitoring — powered by Parallel's AI-native web infrastructure.

First seen 6/19/2026

Summary

The Parallel skill integrates web search, URL content extraction, deep research, bulk data enrichment, entity discovery (FindAll), and continuous web monitoring directly into Claude Code.

  • It leverages Parallel's AI-native web infrastructure to give coding agents real-time access to web data without leaving the terminal.

Overview

Agent Skills for Parallel — web search, content extraction, deep research, and data enrichment for AI coding agents.

Prerequisites

The parallel-cli tool (installed + authenticated, with a non-zero balance) is required to run the skills. The `parallel-cli-setup` skill walks an agent through install, auth, balance, and skills install end-to-end — install the plugin/skills below, then run /parallel:parallel-cli-setup from your agent.

Installation

Agent Skills

Use parallel-cli to install skills into Cursor, Cline, GitHub Copilot, and other compatible agents.

bash
# Install all Parallel skills
parallel-cli skills install

Claude Code

Available as a Claude Code Plugin Marketplace.

bash
/plugin marketplace add parallel-web/parallel-agent-skills
/plugin install parallel
# restart Claude Code before continuing!

# this will install/update CLI and authenticate if not done already
/parallel:parallel-cli-setup

OpenAI Codex

Install skills using the built-in skill installer (run inside Codex):

text
$skill-installer parallel-web/parallel-agent-skills

Then run the setup skill to install/auth the CLI:

text
/parallel:parallel-cli-setup

CDN and discovery

A human + machine-readable catalog is published at skills.parallel.ai.

Useful endpoints:

  • skills.parallel.ai — human-friendly catalog and install instructions
  • skills.parallel.ai/index.json — machine-readable skill index
  • https://skills.parallel.ai/<skill>/SKILL.md — live raw skill file
  • https://skills.parallel.ai/<skill>/manifest.json — file manifest + checksums
  • https://skills.parallel.ai/<skill>/versions.json — release history for that skill
  • https://skills.parallel.ai/archives/<skill>/<version>.zip — immutable GitHub Release archive via CDN redirect

Skills

Skills follow the Agent Skills specification and double as Claude Code slash commands.

SkillDescription
parallel-web-searchWeb search (default for most research queries)
parallel-web-extractExtract content from URLs, articles, PDFs
parallel-deep-researchComprehensive research and analysis
parallel-data-enrichmentEnrich lists of companies, people, products
parallel-findallDiscover entities matching a natural-language description
parallel-monitorContinuously track the web for changes (with webhooks)
parallel-cli-setupInstall/update CLI, authenticate, and handle balance
statusCheck running research task status
resultGet completed research task result

Examples

text
/parallel:parallel-web-search latest React 19 features
/parallel:parallel-web-extract https://docs.parallel.ai
/parallel:parallel-deep-research competitive landscape of AI code assistants
/parallel:parallel-data-enrichment Apple, Microsoft, Google - get CEO names
/parallel:parallel-findall AI startups that raised Series A in 2026
/parallel:parallel-monitor track price changes for the iPhone 16 Pro
/parallel:parallel-cli-setup

Contributing

See MAINTAINERS.md for maintainer workflows, release process, and dev setup.

Resources

Local Development

Claude Code:

bash
git clone https://github.com/parallel-web/parallel-agent-skills.git
claude --plugin-dir /path/to/parallel-agent-skills
/parallel:parallel-cli-setup

Codex:

bash
git clone https://github.com/parallel-web/parallel-agent-skills.git
cd parallel-agent-skills
codex
# Skills are auto-discovered via .agents/skills/

License

MIT

Install & Usage

1
Add a marketplace
/plugin marketplace add <org/repo>
2
Install the plugin

Add the configuration to /plugin install parallel@<marketplace>

3
Manage with /plugin
/plugin

Use Cases

Search the web for the latest API documentation or code examples while coding.
Extract and summarize content from a list of URLs for research or data analysis.
Perform deep research on a complex topic, aggregating information from multiple sources.
Enrich a dataset by appending external data (e.g., company info, social profiles) for each entry.
Discover all entities (people, companies, products) mentioned across a set of web pages.
Monitor specific web pages or search terms for changes and receive updates in the terminal.

Usage Examples

1

/parallel:search latest Python async best practices

2

/parallel:extract https://example.com/article and summarize key points

3

/parallel:research 'impact of AI on software development in 2025'

View source on GitHub
web-searchresearchdata-enrichmententity-discoveryweb-monitoringparallelparallel-cliai-tools

Security Audits

LicensePassSourceWarnRepositoryPass

Frequently Asked Questions

What is parallel?

The Parallel skill integrates web search, URL content extraction, deep research, bulk data enrichment, entity discovery (FindAll), and continuous web monitoring directly into Claude Code. It leverages Parallel's AI-native web infrastructure to give coding agents real-time access to web data without leaving the terminal.

How to install parallel?

To install parallel: add a marketplace (/plugin marketplace add <org/repo>), then add the config to /plugin install parallel@<marketplace>. Finally, /plugin in Claude Code.

What is parallel best for?

parallel is a plugin categorized under General. It is designed for: web-search, research, data-enrichment, entity-discovery, web-monitoring, parallel, parallel-cli, ai-tools. Created by Parallel Web Systems.

What can I use parallel for?

parallel is useful for: Search the web for the latest API documentation or code examples while coding.; Extract and summarize content from a list of URLs for research or data analysis.; Perform deep research on a complex topic, aggregating information from multiple sources.; Enrich a dataset by appending external data (e.g., company info, social profiles) for each entry.; Discover all entities (people, companies, products) mentioned across a set of web pages.; Monitor specific web pages or search terms for changes and receive updates in the terminal..