skyvern-browser-automation – skill Agent & Tự động hóa cho agent AI

Skyvern Browser Automation -- CLI Judgment Procedure

Skyvern uses AI to navigate and interact with websites. The commands illustrate a Skyvern CLI interface; confirm the installed version and discover capabilities before use. Workflow YAML and cloud credentials are external prerequisites.

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 target) | "click the submit button" | skyvern browser act | 2-3 LLM, no screenshots | No screenshots in reasoning. Economy a11y tree. For visual targets, use hybrid mode (selector + intent). |

| Same-page multi-step | "fill the form and submit" | skyvern browser act or primitive chain | 2-3 LLM or 0 LLM | Use act when labels are clear. Use click/type/select directly when you know selectors. |

| Throwaway autonomous trial | "try this once", "see if this works" | skyvern browser run-task | Higher | One-off autonomous agent for exploration. Do not use for recurring or multi-page production automations. |

| Multi-page or reusable automation | "navigate a multi-page wizard", "set this up", "automate this weekly" | skyvern workflow create + run | N LLM + screenshots | Build a workflow with one block per step. Each block gets visual reasoning, verification, and reusable run history. |

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.

Cloud sessions can send screenshots, page data and credentials to the configured provider. Verify user authorization and data policy first; local browser execution alone does not prove local-only AI processing. Bind credentials to the expected origin and reconcile uncertain submissions before retries. A screenshot/model boolean is supporting evidence, not proof of transaction acceptance.

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 "[email protected]" --selector "#email"
skyvern browser select --value "US" --intent "the country dropdown"

Selector-only targeting is deterministic; intent and hybrid modes can invoke 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":"[email protected]"}'
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 may replay cached scripts when applicable; measure speed and correctness on the actual workflow.

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

| Problem | Fix |

|---------|-----|

| Action clicked wrong element | Add context to prompt. Use hybrid mode (selector + intent). |

| Extraction returns empty | Wait for content. Relax required fields. Check row count first. |

| Login passes but next step fails | Ensure same session. Add post-login validate check. |

| Element not found | Add wait: skyvern browser wait --selector "#el" --state visible |

| Overloaded prompt | Split into smaller goals -- one intent per command. |

Credentials

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

# Supply SKYVERN_CRED_PASSWORD through the secret manager or non-echoed input; never literal shell history.
skyvern credentials add --name "my-login" --type password --username "[email protected]"
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 and wait
skyvern workflow status --run-id wr_789               # check status
skyvern workflow list --search "invoice"              # find workflows
skyvern block schema --type navigation                # discover block types
skyvern block validate --block-json @block.

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