Manage documents in Paperless-ngx - search, upload, tag, and retrieve.
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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 paperless-docsOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install paperless-docsβ 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/paperless-docs/π‘Extract and place the folder at the path above, then restart your agent.
Category
πDocuments & NotesPlatforms
What Paperless-ngx Document Manager can do for your AI workflow
Documents in paperless-ngx - directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 2,005+ 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 Paperless-ngx Document Manager
Help me get started with Paperless-ngx Document Manager
Explains what Paperless-ngx Document Manager does, walks through the setup, and runs a quick demo based on your current project
Use Paperless-ngx Document Manager to manage documents in Paperless-ngx - search, upload, tag, and retrieve
Invokes Paperless-ngx Document Manager with the right parameters and returns the result directly in the conversation
What can I do with Paperless-ngx Document Manager in my documents & notes workflow?
Lists the top use cases for Paperless-ngx Document Manager, with example commands for each scenario
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Paperless-ngx Document Manager extends your AI assistant with the ability to manage documents in Paperless-ngx - search, upload, tag, and retrieve. 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 Paperless-ngx Document Manager as its underlying capability.
Paperless-ngx Document Manager 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 Paperless-ngx Document Manager 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.
Paperless-ngx Document Manager installs like any other MCP skill: drop the folder into `~/.claude/skills/paperless-docs/` for global access, or `.claude/skills/paperless-docs/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/paperless-docs`, or let the AI decide when it's the right tool for your request.
Paperless-ngx Document Manager has been installed 2,005 times, making it one of the more actively used skills in the Documents & Notes 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/paperless-docs/ for personal use (all projects), or .claude/skills/paperless-docs/ for project-specific use. Restart your AI client, then invoke with /paperless-docs or let the AI discover it automatically.
Paperless-ngx Document Manager supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Paperless-ngx Document Manager is free to install. Check the repository for licensing information.
Manage documents in Paperless-ngx - search, upload, tag, and retrieve.
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Paperless-ngx Document Manager is categorized under Documents & Notes. These skills help AI agents perform specialized tasks in this domain.