Linkwarden is an open source bookmark and web archiving platform for saving, organizing, and preserving research material. It captures screenshots, PDFs, and archived page copies, adds reader and annotation features, and supports shared collections for teams.
Scanned 6/8/2026
Install via CLI
openskills install agentskillexchange/skills---
name: "Linkwarden Collaborative Bookmark Archive and Preservation Platform"
slug: "linkwarden-collaborative-bookmark-archive-preservation-platform"
description: "Linkwarden is an open source bookmark and web archiving platform for saving, organizing, and preserving research material. It captures screenshots, PDFs, and archived page copies, adds reader and annotation features, and supports shared collections for teams."
github_stars: 17869
verification: "security_reviewed"
source: "https://github.com/linkwarden/linkwarden"
author: "linkwarden"
category: "Research & Scraping"
framework: "Multi-Framework"
tool_ecosystem:
github_repo: "linkwarden/linkwarden"
github_stars: 17869
---
# Linkwarden Collaborative Bookmark Archive and Preservation Platform
Linkwarden is an open source bookmark and web archiving platform for saving, organizing, and preserving research material. It captures screenshots, PDFs, and archived page copies, adds reader and annotation features, and supports shared collections for teams.
## Installation
Use the upstream install or setup path that matches your environment:
- Make sure to check out our [public roadmap](https://github.com/orgs/linkwarden/projects/1).
Basic usage or getting-started notes:
- ⬆️ Upload from SingleFile (check out the [guide](https://docs.linkwarden.app/Usage/upload-from-singlefile))
- Source: https://github.com/linkwarden/linkwarden
- Extracted from upstream docs: https://raw.githubusercontent.com/linkwarden/linkwarden/HEAD/README.md
## Documentation
- https://linkwarden.app
## Source
- [Agent Skill Exchange](https://agentskillexchange.com/skills/linkwarden-collaborative-bookmark-archive-preservation-platform/)
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Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.