Agent skill · Data & Analytics

skyvern-browser-automation

AI-powered browser automation — navigate sites, fill forms, extract structured data, log in with stored credentials, and build reusable workflows.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill skyvern-browser-automation --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 14 KB
Bundled scripts: none
Declared author: mark1ian
Path: skills/agent/skyvern-browser-automation/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Skyvern Browser Automation -- CLI Judgment Procedure Skyvern uses AI to navigate and interact with websites. Every command below is a runnable `skyvern <command>` invocation. ## When to Use This Skill - Use when you need AI-assisted browser automation for navigation, extraction, form filling, login flows, or reusable website workflows. - Use when deterministic selectors are unavailable and Skyvern's visual/a11y reasoning can identify page controls. - Use when a one-off browser task should become a repeatable workflow with run history and verification. ## Step 1: Classify Your Task (ALWAYS do this first) | Classification | Signal | CLI Command | Cost | What Happens | |---|---|---|---|---| | Quick check (yes/no) | "is the user logged in?" | `skyvern browser validate` | 1 LLM + screenshots | Lightweight validation (2 steps max), returns boolean. Cheapest AI option. | | Quick inspection | "what does the page show?" | `skyvern browser extract` | 1 LLM + screenshots | Dedicated extraction LLM + schema validation + caching. | | Single action (known target) | "click #submit" | `skyvern browser click/type` | 0 LLM | Deterministic Playwright. No AI. Fastest. | | Single action (unknown targ

What's inside
Steps it walks through
  1. When to Use This Skill
  2. Step 1: Classify Your Task (ALWAYS do this first)
  3. Step 2: Apply These Decision Rules
  4. Step 3: Create a Session
  5. Step 4: Execute by Classification
  6. Quick check (yes/no)
  7. Quick inspection
  8. Single action (known target)
  9. Single action (unknown target)
  10. Same-page multi-step
  11. Throwaway autonomous trial
  12. Multi-page or reusable automation — build a workflow with one block per step
  13. Repeated/production
  14. Step 5: Verify
Ships with 1 file
  • metadata.json
Commands it runs
Cloud session (default -- works for public URLs)
skyvern browser session create --timeout 30
Local session (for localhost URLs or self-hosted mode)
skyvern browser session create --local --timeout 30
Connect to existing browser via CDP
skyvern browser session connect --cdp "ws://localhost:9222"
skyvern browser validate --prompt "Is the user logged in? Look for a dashboard or avatar."
skyvern browser extract \
skyvern browser click --selector "#submit-btn"
skyvern browser type --text "user@co.com" --selector "#email"
More from claude-skill-registry
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About this skill
What does the skyvern-browser-automation skill do?

AI-powered browser automation — navigate sites, fill forms, extract structured data, log in with stored credentials, and build reusable workflows.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill skyvern-browser-automation --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going