Deep web research using LLM + multiple search rounds. Use when user needs comprehensive analysis, detailed research, or says "deep search", "Detailed search", "depth investigation".
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install moss-deep-searchOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install moss-deep-searchβ 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/moss-deep-search/π‘Extract and place the folder at the path above, then restart your agent.
Category
πData & AnalyticsPlatforms
What Moss Deep Search can do for your AI workflow
Deep web research using llm + directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
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 Moss Deep Search
Help me get started with Moss Deep Search
Explains what Moss Deep Search does, walks through the setup, and runs a quick demo based on your current project
Use Moss Deep Search to deep web research using LLM + multiple search rounds
Invokes Moss Deep Search with the right parameters and returns the result directly in the conversation
What can I do with Moss Deep Search in my data & analytics workflow?
Lists the top use cases for Moss Deep Search, with example commands for each scenario
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Moss Deep Search extends your AI assistant with the ability to deep web research using LLM + multiple search rounds. Use when user needs comprehensive analysis, detailed research, or says "deep search", "Detailed search", "depth investigation". 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 Moss Deep Search as its underlying capability.
Moss Deep Search 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 Moss Deep Search 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 Moss Deep Search takes about two minutes. Place the skill at `~/.claude/skills/moss-deep-search/` (personal, all projects) or `.claude/skills/moss-deep-search/` (project-specific), then restart your AI client. From that point, typing `/moss-deep-search` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Moss Deep Search has 742 installs and is part of the growing Data & Analytics skill ecosystem on DiscoverAISkills. 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/moss-deep-search/ for personal use (all projects), or .claude/skills/moss-deep-search/ for project-specific use. Restart your AI client, then invoke with /moss-deep-search or let the AI discover it automatically.
Moss Deep Search supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Moss Deep Search is free to install. Check the repository for licensing information.
Deep web research using LLM + multiple search rounds. Use when user needs comprehensive analysis, detailed research, or says "deep search", "Detailed search", "depth investigation".
Deep Research Pro
CuratedMulti-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.
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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 Moss Deep Search
Identifies repetitive steps in your workflow and sets up Moss Deep Search to handle them automatically
Moss Deep Search is categorized under Data & Analytics. These skills help AI agents perform specialized tasks in this domain.
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Conduct exhaustive multi-source investigation with methodology tracking, source evaluation, and iterative depth.