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)

MCP note: if you are using the Skyvern MCP instead of the CLI, prefer observe + execute for same-page multi-step UI work. The CLI does not expose that pair directly.

Step 2: Apply These Decision Rules

1. If the prompt includes a selector, id, XPath, or exact field target, use browser primitives -- not act.
2. If you only need a yes/no answer, use validate -- not extract or act.
3. If the work stays on one page and labels are clear, use act or a primitive chain.
4. If the user says try this once, see if this works, or clearly wants a one-off exploratory trial, use run-task.
5. If the task spans multiple pages and is meant to be reusable, scheduled, repeatable, or explicitly set up as automation, use workflow create.
6. Never type passwords. Always use stored credentials with skyvern browser login.

Step 3: Create a Session

Every browser command needs a session. Create one first:

# 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"

Session state persists between commands. After session create, subsequent commands auto-attach. Override with --session pbs_.... Close when done: skyvern browser session close.

Step 4: Execute by Classification

Quick check (yes/no)

skyvern browser validate --prompt "Is the user logged in? Look for a dashboard or avatar."

Returns true/false. Cheapest AI option -- prefer over extract or act for boolean checks.

Quick inspection

skyvern browser extract \
  --prompt "Extract all product names and prices" \
  --schema '{"type":"object","properties":{"items":{"type":"array","items":{"type":"object","properties":{"name":{"type":"string"},"price":{"type":"string"}}}}}}'

Uses screenshots + dedicated extraction LLM. Better than screenshot+read because Skyvern's LLM interprets the page.

Single action (known target)

skyvern browser click --selector "#submit-btn"
skyvern browser type --text "user@co.com" --selector "#email"
skyvern browser select --value "US" --intent "the country dropdown"

Deterministic. No AI. Three targeting modes:

1. Intent: --intent "the Submit button" (AI finds element)
2. Selector: --selector "#submit-btn" (CSS/XPath, deterministic)
3. Hybrid: both (selector narrows, AI confirms)

Single action (unknown target)

skyvern browser act --prompt "Click the Sign In button"
skyvern browser act --prompt "Close the cookie banner, then click Sign In"

Warning: act has NO screenshots in its LLM reasoning. It uses an economy accessibility tree. Fine for well-labeled elements. For visually complex targets, use MCP observe+click or hybrid mode.

Same-page multi-step

skyvern browser act --prompt "Fill the shipping form and click Continue"

Use act when the fields and buttons are clearly labeled and the flow stays on one page. If you need tighter control, break the work into click, type, select, press-key, and wait.

Throwaway autonomous trial

skyvern browser run-task \
  --url "https://example.com" \
  --prompt "Check whether the checkout flow works end to end and extract the confirmation number"

Use run-task to prove feasibility or do one-off exploration. If the task becomes important enough to rerun, debug, or share, convert it to a workflow.

Multi-page or reusable automation — build a workflow with one block per step

skyvern workflow create --definition @checkout-workflow.yaml
skyvern workflow run --id wpid_123 --wait
skyvern workflow status --run-id wr_789

Each navigation block runs with visual reasoning + verification. Split complex flows into multiple blocks (one per page/step). First run uses AI; subsequent runs replay cached scripts.

Repeated/production

skyvern workflow create --definition @workflow.yaml
skyvern workflow run --id wpid_123 --params '{"email":"user@co.com"}'
skyvern workflow status --run-id wr_789

Split into one block per step. Use navigation blocks for actions, extraction for data. First run uses AI; subsequent runs replay a cached script (10-100x faster). Set --run-with agent to force AI mode for debugging.

Step 5: Verify

Always verify after page-changing actions:

skyvern browser screenshot                          # visual check
skyvern browser validate --prompt "Was the form submitted successfully?"  # boolean assertion
skyvern browser evaluate --expression "document.title"                    # JS state check

Step 6: Error Recovery

Credentials

NEVER type passwords through skyvern browser type or act. Always use stored credentials:

skyvern credentials add --name "my-login" --type password --username "user@co.com"
skyvern credential list                          # find the credential ID
skyvern browser login --url "https://login.example.com" --credential-id cred_123

Types: password, credit_card, secret. Also supports bitwarden, 1password, and azure_vault providers.

Workflow Quick Reference

skyvern workflow create --definition @workflow.yaml   # create
skyvern workflow run --id wpid_123 --wait             # run