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.
Data sourced from ClawHub. View on ClawSkills
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install parallel-deep-researchOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install parallel-deep-researchβ 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-deep-research/π‘Extract and place the folder at the path above, then restart your agent.
Category
πData & AnalyticsPlatforms
What Parallel Deep Research can do for your AI workflow
Deep multi-source research via directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 3,739+ 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 Deep Research
Help me get started with Parallel Deep Research
Explains what Parallel Deep Research does, walks through the setup, and runs a quick demo based on your current project
Use Parallel Deep Research to deep multi-source research via Parallel API
Invokes Parallel Deep Research with the right parameters and returns the result directly in the conversation
What can I do with Parallel Deep Research in my data & analytics workflow?
Lists the top use cases for Parallel Deep Research, with example commands for each scenario
Guides & tutorials for AI skills
10 Fresh GitHub Agent Skills Added in June 2026
A hand-checked shortlist of recently updated GitHub agent skills that were not already in our catalog, excluding marketplaces, awesome lists, managers, and generic skill directories.
The 7 AI Skills Every Software Developer Should Have Installed in 2026
After testing dozens of developer-focused AI skills, these are the seven that have proven genuinely useful across different tech stacks and workflows β not just impressive demos, but tools that hold up under daily use.
Parallel Deep Research extends your AI assistant with the ability to 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. 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 Deep Research as its underlying capability.
Parallel Deep Research 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 Deep Research 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.
Getting started with Parallel Deep Research takes about two minutes. Place the skill at `~/.claude/skills/parallel-deep-research/` (personal, all projects) or `.claude/skills/parallel-deep-research/` (project-specific), then restart your AI client. From that point, typing `/parallel-deep-research` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Parallel Deep Research has been installed 3,739 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-deep-research/ for personal use (all projects), or .claude/skills/parallel-deep-research/ for project-specific use. Restart your AI client, then invoke with /parallel-deep-research or let the AI discover it automatically.
Parallel Deep Research supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Parallel Deep Research is free to install. Check the repository for licensing information.
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.
Deep Research Pro
CuratedMulti-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.
Deep Scraper
Performs deep scraping of complex sites like YouTube using containerized Crawlee, extracting validated, ad-free transcripts and content as JSON output.
Automate my data & analytics tasks using Parallel Deep Research
Identifies repetitive steps in your workflow and sets up Parallel Deep Research to handle them automatically
Parallel Deep Research is categorized under Data & Analytics. These skills help AI agents perform specialized tasks in this domain.
Deep Research
Conduct exhaustive multi-source investigation with methodology tracking, source evaluation, and iterative depth.