browse.sh

An installable browser-automation CLI for AI agents, hosted by browse.sh. It provides an open catalog of reusable SKILL.md recipes for website-specific tasks, which agents can install on demand with commands such as `browse skills add alltrails.com`. It also exposes low-level browser primitives for clicking, scrolling, typing, hovering, pressing keys, selecting elements, and taking screenshots, addressing elements by DOM selectors or accessibility references. The CLI can tail browser network and console output for debugging and can run commands against local Chromium or remote Browserbase sessions. Catalog skills cover website operations such as searching listings, tracking flights, finding events, and querying public APIs; the page states that suggested DOM selectors and XHR requests can reduce token usage.

skills.sh is an agent skills directory and open ecosystem for reusable capabilities for AI agents. It lets users browse and search skills, then install a skill from an owner and repository with the `npx skills add <owner/repo>` command. The site publishes a leaderboard and catalog of skills, including the AutoBrowse skill described in the video as a reusable artifact for browser-agent tasks.

BrowserSkill is an open-source browser-automation bridge for AI agents, consisting of the `bsk` CLI and daemon plus a Chrome or Microsoft Edge extension. An agent sends browser tasks through the CLI; the local daemon routes them over WebSocket to the extension, which performs actions in a separate visible Agent Window. Agents can use existing browser login state, borrow an already open tab only with explicit approval, and request human intervention for captchas, confirmations, or other user-only steps. It supports shell-capable agent harnesses, macOS, Linux, and Windows, and is distributed under the MIT license.

AutoBrowse is an open-source browser-skill training demo from the AI Engineers workshop. It pairs a frozen doer agent, which operates a browser through the browse CLI and records a trace, with a teacher agent that studies the trace, forms a hypothesis, edits strategy.md, and judges the next attempt. Repeated iterations hill-climb the strategy for a specified website and task; a final graduation run converts the strategy into a reusable SKILL.md that can be installed for Claude Code or Codex. The repository includes a local live UI, headless forge and demo commands, streamed run events, and per-run artifacts under ./workspace. It uses Browserbase for browser sessions and Anthropic models by default, and the README identifies the vendored evaluate.mjs doer as MIT-licensed.

Agent Skills is a curated skill registry and npm-based CLI for extending AI coding agents such as Claude Code, Cursor, Copilot, and Antigravity with packaged instructions, templates, and reference files. The CLI fetches a catalog, lets users search and select skills, caches downloads locally, and installs them to selected agents by copying or symlinking them at global or project scope; it also supports updating, removing, auditing, and managing cached skills. The repository describes the catalog as an open-source, human-curated library with CI static analysis, content hashing, lockfiles, path isolation, symlink guards, sanitization, audit logging, and Snyk Agent Scan checks. It also includes an MCP server that exposes progressive-disclosure tools for listing, searching, reading, and fetching skill files. The CLI source is MIT-licensed; maintainer-authored skills are generally CC BY 4.0, while third-party skills retain their own licenses.