Skim — Markdown Viewer & Reader

Read markdown beautifully. Open .md files from your computer or the web, with themes, math, diagrams, and AI-agent support.

Skim is a markdown viewer and markdown reader for Chrome that makes it simple to open md file formats and actually read them. Point Chrome at a .md file, on your computer or anywhere on the web, and Skim renders it as a clean, themed document instead of a wall of raw text. No import step, no separate app: click a .md link or open a local file and it just renders. It handles .md, .markdown, .mdown, .mkd, .mkdn, and .mdx, including tables, task lists, images, and every README you'll ever open. Skim was built for how people read markdown today: AI coding agents write it constantly. Plans, reports, AGENTS.md, changelogs: agent output is markdown, and it keeps changing while you're reading it. Skim watches the file and auto-reloads the instant it's rewritten, turns YAML frontmatter into a readable header card, and adds a one-click "Copy for AI" button that hands the whole document back as clean markdown source for your next prompt. Beyond agent output, Skim is a full-featured reader for any markdown: KaTeX math with click-to-copy formulas; mermaid diagram rendering; syntax-highlighted code with copy buttons; a scrollspy table of contents; light and dark themes that sync across your devices; raw-source toggle; copy-selection-as-markdown; print and PDF export; keyboard navigation between blocks; and an enhanced folder view for browsing local files. Skim also handles the rough edges that trip up other viewers: automatic UTF-8/UTF-16/legacy encoding detection, per-block Hebrew/English bidi direction for mixed RTL/LTR documents, sortable tables, and a large-file guard so huge documents don't lock up the tab. Skim collects no data: no telemetry, no analytics, nothing sent anywhere. Everything happens on your device. It's fully open source under the MIT license, and every feature is free: no Pro tier, no paywalled folder browsing, no account. Questions or bugs? Open an issue at https://github.com/skim-md/skim.