Agent skill

Skyvern Browser Automation

by sickn33 in sickn33/agentic-awesome-skills

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

AGPL-3.0Auto-check passedProductivity & Automation

Install Skyvern Browser Automation

skills CLI

$ npx skills add sickn33/agentic-awesome-skills --skill skyvern-browser-automation -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install sickn33/agentic-awesome-skills skyvern-browser-automation --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/skyvern-browser-automation .claude/skills/skyvern-browser-automation && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "skyvern-browser-automation" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/skyvern-browser-automation into .claude/skills/skyvern-browser-automation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skyvern-browser-automation", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/skyvern-browser-automation

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add sickn33/agentic-awesome-skills --skill skyvern-browser-automation -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install sickn33/agentic-awesome-skills skyvern-browser-automation --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/skyvern-browser-automation .agents/skills/skyvern-browser-automation && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "skyvern-browser-automation" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/skyvern-browser-automation into .agents/skills/skyvern-browser-automation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skyvern-browser-automation", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add sickn33/agentic-awesome-skills --skill skyvern-browser-automation -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install sickn33/agentic-awesome-skills skyvern-browser-automation --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/skyvern-browser-automation .cursor/skills/skyvern-browser-automation && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "skyvern-browser-automation" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/skyvern-browser-automation into .cursor/skills/skyvern-browser-automation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skyvern-browser-automation", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/sickn33/agentic-awesome-skills.git --path skills/skyvern-browser-automation

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add sickn33/agentic-awesome-skills --skill skyvern-browser-automation -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install sickn33/agentic-awesome-skills skyvern-browser-automation --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/skyvern-browser-automation .gemini/skills/skyvern-browser-automation && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "skyvern-browser-automation" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/skyvern-browser-automation into .gemini/skills/skyvern-browser-automation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skyvern-browser-automation", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install sickn33/agentic-awesome-skills skyvern-browser-automation

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add sickn33/agentic-awesome-skills --skill skyvern-browser-automation -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/skyvern-browser-automation .github/skills/skyvern-browser-automation && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "skyvern-browser-automation" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/skyvern-browser-automation into .github/skills/skyvern-browser-automation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skyvern-browser-automation", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add sickn33/agentic-awesome-skills --skill skyvern-browser-automation -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install sickn33/agentic-awesome-skills skyvern-browser-automation --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/skyvern-browser-automation .opencode/skills/skyvern-browser-automation && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "skyvern-browser-automation" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/skyvern-browser-automation into .opencode/skills/skyvern-browser-automation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skyvern-browser-automation", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: skyvern-browser-automation
GitHub stars: 47k
Used in: 2 other repos
Token cost: ~3.5k tokens
SKILL.md length: 1,034 words
Files: 1
Skills in repo: 1,497
Repo updated: Oct 9, 2026
First seen: Oct 9, 2026
Licence: AGPL-3.0

At a glance

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

Works in 6 steps: Classify Your Task (ALWAYS do this first) → Apply These Decision Rules → Create a Session → …
Tasks that involve Browser automation
SKILL.md covers When to Use This Skill, Step 1: Classify Your Task…, Step 2: Apply These Decision… and Step 3: Create a Session, plus 9 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Skyvern Browser Automation is an agent skill from sickn33/agentic-awesome-skills. AI-powered browser automation — navigate sites, fill forms, extract structured data, log in with stored credentials, and build reusable workflows.

Its SKILL.md is about 3.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Productivity & Automation, covering Browser automation, Forms and invoices and CI/CD. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is AGPL-3.0.

When your agent uses it

Tasks that involve Browser automation
Tasks that involve Forms and invoices
Tasks that involve CI/CD

Example prompts

“/skyvern-browser-automation”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

Classify Your Task (ALWAYS do this first)
Apply These Decision Rules
Create a Session
Execute by Classification
Verify
Error Recovery

What it can do on your machine

Read from SKILL.md and the folder at commit b84d35a. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
- github.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Skyvern Browser Automation loads about 3.5k tokens when it runs. Until then it costs about 43 tokens; SKILL.md has 1,034 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~43
When it runs · the whole SKILL.md, loaded when a task matches: ~3.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sickn33/agentic-awesome-skills at commit b84d35a, republished under its AGPL-3.0 licence (© sickn33). 1,034 words, ~3,531 tokens.

Download SKILL.mdSave it as .claude/skills/skyvern-browser-automation/SKILL.md (or your agent's skills folder).

name: skyvern-browser-automation
description: AI-powered browser automation — navigate sites, fill forms, extract structured data, log in with stored credentials, and build reusable workflows.
category: browser-automation
risk: safe
source: community
source_repo: Skyvern-AI/skyvern
source_type: official
date_added: 2026-04-23
author: mark1ian
tags: browser-automation, mcp, web-scraping, form-filling, ai-agents, workflow-automation
tools: claude, cursor, gemini, codex
license: AGPL-3.0

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 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

If the prompt includes a selector, id, XPath, or exact field target, use browser primitives -- not act.
If you only need a yes/no answer, use validate -- not extract or act.
If the work stays on one page and labels are clear, use act or a primitive chain.
If the user says try this once, see if this works, or clearly wants a one-off exploratory trial, use run-task.
If the task spans multiple pages and is meant to be reusable, scheduled, repeatable, or explicitly set up as automation, use workflow create.
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:

bash

# 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)

bash

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

bash

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)

bash

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:

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

Single action (unknown target)

bash

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

bash

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

bash

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.

Show full SKILL.md (412 more words)Show less

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

bash

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

bash

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:

bash

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:

bash

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

bash

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.json       # validate before creating

Engine: known path = 1.0 (default). Dynamic planning = 2.0. Split into multiple 1.0 blocks when in doubt. Status lifecycle: created -> queued -> running -> completed | failed | canceled | terminated | timed_out

Common Patterns

Login flow:

bash

skyvern credential list                          # find credential ID
skyvern browser session create
skyvern browser navigate --url "https://login.example.com"
skyvern browser login --url "https://login.example.com" --credential-id cred_123
skyvern browser validate --prompt "Is the user logged in?"
skyvern browser screenshot

Pagination loop:

bash

skyvern browser extract --prompt "Extract all rows"
skyvern browser validate --prompt "Is there a Next button that is not disabled?"
# If true:
skyvern browser act --prompt "Click the Next page button"
# Repeat extraction. Stop when: no next button, duplicate first row, or max page limit.

Debugging:

bash

skyvern browser screenshot                       # visual state
skyvern browser evaluate --expression "document.title"
skyvern browser evaluate --expression "document.querySelectorAll('table tr').length"

Limitations

Do not use Skyvern to bypass site access controls, rate limits, consent gates, or terms that prohibit automation.
Browser automation can change remote state; confirm user intent before submitting forms, purchasing, deleting, or sending messages.
Prefer deterministic selectors for stable production flows; AI actions can misread unlabeled or visually ambiguous controls.
Store credentials only in the supported credential vaults and never type passwords directly through type or act.

Agent Mode

All commands accept --json for structured output. Set SKYVERN_NON_INTERACTIVE=1 to prevent prompts. Use skyvern capabilities --json for full command discovery. See references/agent-mode.md.

Deep-Dive References

Reference	Content
`references/prompt-writing.md`	Prompt templates and anti-patterns
`references/engines.md`	When to use tasks vs workflows
`references/schemas.md`	JSON schema patterns for extraction
`references/pagination.md`	Pagination strategy and guardrails
`references/block-types.md`	Workflow block type details with examples
`references/parameters.md`	Parameter design and variable usage
`references/ai-actions.md`	AI action patterns and examples
`references/precision-actions.md`	Intent-only, selector-only, hybrid modes
`references/credentials.md`	Credential naming, lifecycle, safety
`references/sessions.md`	Session reuse and freshness decisions
`references/common-failures.md`	Failure pattern catalog with fixes
`references/screenshots.md`	Screenshot-led debugging workflow
`references/status-lifecycle.md`	Run status states and guidance
`references/rerun-playbook.md`	Rerun procedures and comparison
`references/complex-inputs.md`	Date pickers, uploads, dropdowns
`references/tool-map.md`	Complete tool inventory by outcome
`references/cli-parity.md`	CLI/MCP mapping and agent-aware features
`references/quick-start-patterns.md`	Quick start examples, common patterns, and workflow templates

Files

Just SKILL.md in skills/skyvern-browser-automation of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit b84d35a

Used in 2 other repositories

We found 6 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 9, 2026.

Compare with similar skills

Skyvern Browser Automation next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Skyvern Browser Automation compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Skyvern Browser Automation this skillsickn33/agentic-awesome-skills	47k	2 repos	~3.5k	Automated safety check: Pass	AGPL-3.0	yesterday
Skyverndavepoon/buildwithclaude	3.6k	—	~496	Automated safety check: Pass	MIT	yesterday
Gsd Browsergsd-build/gsd-browser	268	—	~1.3k	Automated safety check: Pass	Apache-2.0	5 mo ago
Agenttinyfish-io/tinyfish-cookbook	2.2k	—	~1.1k	Automated safety check: Pass	MIT	2 days ago
Agent Browserquran/quran.com-frontend-next	1.9k	40 repos	~3.3k	Automated safety check: Pass	None	5 mo ago
BrowserVibiumDev/vibium	2.9k	—	~4.8k	Automated safety check: Pass	Apache-2.0	yesterday

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Questions about Skyvern Browser Automation

What does Skyvern Browser Automation do?

AI-powered browser automation — navigate sites, fill forms, extract structured data, log in with stored credentials, and build reusable workflows. Skyvern Browser Automation is an agent skill from sickn33/agentic-awesome-skills. AI-powered browser automation — navigate sites, fill forms, extract structured data, log in with stored credentials, and build reusable workflows.

When should I use Skyvern Browser Automation?

Skyvern Browser Automation fits situations like: tasks that involve Browser automation; tasks that involve Forms and invoices; tasks that involve CI/CD.

How do I install Skyvern Browser Automation in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill skyvern-browser-automation -a claude-code`. Or copy the skill folder (skills/skyvern-browser-automation in sickn33/agentic-awesome-skills) into .claude/skills/skyvern-browser-automation in your project. Claude Code loads it when a task matches its description.

How do I install Skyvern Browser Automation in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill skyvern-browser-automation -a codex`. Or copy the skill folder (skills/skyvern-browser-automation in sickn33/agentic-awesome-skills) into .agents/skills/skyvern-browser-automation in your project. Codex loads it when a task matches its description.

Can I use Skyvern Browser Automation in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill skyvern-browser-automation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skyvern-browser-automation, .gemini/skills/skyvern-browser-automation, .github/skills/skyvern-browser-automation and .opencode/skills/skyvern-browser-automation in your project.

What does Skyvern Browser Automation need to run?

SKILL.md names no scripts, command-line tools or credentials: Skyvern Browser Automation is instructions for the agent only.

Does Skyvern Browser Automation access the network?

SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.

Is Skyvern Browser Automation safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Skyvern Browser Automation use?

Skyvern Browser Automation is published under the AGPL-3.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Skyvern Browser Automation use?

About 3.5k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Skyvern Browser Automation?

Skills that share tags, products or a category with Skyvern Browser Automation: Skyvern (davepoon/buildwithclaude, 3.6k stars), Gsd Browser (gsd-build/gsd-browser, 268 stars), Agent (tinyfish-io/tinyfish-cookbook, 2.2k stars) and Agent Browser (quran/quran.com-frontend-next, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Skyvern Browser Automation?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,405 GitHub stars. The repository holds 1,497 skills in this directory. The repository was last updated on October 9, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Skyvern Browser Automation

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Skyvern Browser Automation -- CLI Judgment Procedure

When to Use This Skill

Step 1: Classify Your Task (ALWAYS do this first)

Step 2: Apply These Decision Rules

Step 3: Create a Session

Step 4: Execute by Classification

Quick check (yes/no)

Quick inspection

Single action (known target)

Single action (unknown target)

Same-page multi-step

Throwaway autonomous trial

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

Repeated/production

Step 5: Verify

Step 6: Error Recovery

Credentials

Workflow Quick Reference

Common Patterns

Limitations

Agent Mode

Deep-Dive References

Files

Used in 2 other repositories

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