High-accuracy web search and research via Parallel.ai API. Optimized for AI agents with rich excerpts and citations. Supports agentic mode for token-efficien...
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Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install parallelOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install parallelβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/parallel/π‘Extract and place the folder at the path above, then restart your agent.
Category
πData & AnalyticsPlatforms
What Parallel can do for your AI workflow
High-accuracy web search directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 2,395+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Parallel
Help me get started with Parallel
Explains what Parallel does, walks through the setup, and runs a quick demo based on your current project
Use Parallel to high-accuracy web search and research via Parallel
Invokes Parallel with the right parameters and returns the result directly in the conversation
What can I do with Parallel in my data & analytics workflow?
Lists the top use cases for Parallel, with example commands for each scenario
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Parallel extends your AI assistant with the ability to high-accuracy web search and research via Parallel.ai API. Optimized for AI agents with rich excerpts and citations. Supports agentic mode for token-efficien... Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Parallel as its underlying capability.
Parallel works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Parallel once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Parallel installs like any other MCP skill: drop the folder into `~/.claude/skills/parallel/` for global access, or `.claude/skills/parallel/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/parallel`, or let the AI decide when it's the right tool for your request.
Parallel has been installed 2,395 times, making it one of the more actively used skills in the Data & Analytics category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/parallel/ for personal use (all projects), or .claude/skills/parallel/ for project-specific use. Restart your AI client, then invoke with /parallel or let the AI discover it automatically.
Parallel supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Parallel is free to install. Check the repository for licensing information.
High-accuracy web search and research via Parallel.ai API. Optimized for AI agents with rich excerpts and citations. Supports agentic mode for token-efficien...
Parallel Deep Research
Deep multi-source research via Parallel API. Use when user explicitly asks for thorough research, comprehensive analysis, or investigation of a topic. For quick lookups or news, use parallel-search instead.
Research
Conduct open-ended research on a topic, building a living markdown document. Supports interactive and deep research modes.
Parallel Task Executor
Multitasking parallel execution manager. Receive multiple instructions and execute them synchronously, supporting priority scheduling, task dependencies, result collection and progress tracking. Suitable for scenarios where multiple independent tasks need to be processed concurrently.
Automate my data & analytics tasks using Parallel
Identifies repetitive steps in your workflow and sets up Parallel to handle them automatically
Parallel is categorized under Data & Analytics. These skills help AI agents perform specialized tasks in this domain.