
Smooth Browser
- 8 installs
- 33 repo stars
- Updated April 26, 2026
- bighardperson/computer-science-skills-collection
Smooth-browser is a skill that drives the Smooth.sh cloud AI browser via CLI so agents can navigate, authenticate, scrape, and automate web tasks with natural language.
About
Smooth-browser is a skill that drives the Smooth.sh cloud AI browser through its CLI so an agent can navigate sites, authenticate, scrape data, and automate web workflows with natural-language tasks. A developer uses it to start a browser session, run goal-oriented tasks, optionally return structured JSON, and persist login state in profiles. It requires the smooth CLI and a Smooth.sh API key.
- Drives the Smooth.sh cloud AI browser via CLI for web automation
- Profiles persist cookies and login sessions across runs
- Supports structured JSON output and metadata-driven tasks
Smooth Browser by the numbers
- 8 all-time installs (skills.sh)
- Ranked #1,522 of 2,719 Automation & Workflows skills by installs in the Skillselion catalog
- Data as of Jul 30, 2026 (Skillselion catalog sync)
smooth-browser capabilities & compatibility
Requires a Smooth.sh account and API key; account can run out of credits and need a plan upgrade.
- Capabilities
- web scraping · web search · testing
- Works with
- chrome
- Use cases
- web scraping · web search · testing
- Runs
- Remote server
- Pricing
- Bring your own API key
What smooth-browser says it does
Smooth CLI is a browser for AI agents to interact with websites, authenticate, scrape data, and perform complex web-based tasks using natural language.
IMPORTANT: Smooth is powered by an intelligent agent, DO NOT over-controll it, and give it well-defined goal-oriented tasks instead of steps.
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| Installs | 8 |
|---|---|
| repo stars | ★ 33 |
| Last updated | April 26, 2026 |
| Repository | bighardperson/computer-science-skills-collection ↗ |
What it does
Drive a cloud AI browser via CLI to navigate, authenticate, scrape, and automate web tasks with natural language.
Who is it for?
Goal-oriented web automation, authenticated sessions, and structured scraping via a cloud browser
Skip if: Over-controlling the agent with prescriptive single-step click instructions
When should I use this skill?
You need to navigate websites, fill forms, scrape data, or automate a browser workflow
What you get
Completed web tasks with optional structured JSON results and persisted login state in reusable profiles.
- completed web automation task
- structured JSON extraction results
Files
Smooth Browser
Smooth CLI is a browser for AI agents to interact with websites, authenticate, scrape data, and perform complex web-based tasks using natural language.
Prerequisites
Assume the Smooth CLI is already installed. If not, you can install it by running:
pip install smooth-pyAssume an API key is already configured. If you encounter authentication errors, configure it with:
smooth config --api-key <api-key>To verify the configuration:
smooth config --showGet an API key at https://app.smooth.sh
If the account is out of credits, ask the user to upgrade their plan at https://app.smooth.sh
Basic Workflow
1. Create a Profile (Optional)
Profiles are useful to persist cookies, login sessions, and browser state between sessions.
smooth create-profile --profile-id "my-profile"List existing profiles:
smooth list-profiles2. Start a Browser Session
smooth start-session --profile-id "my-profile" --url "https://example.com"Options:
--profile-id- Use a specific profile (optional, creates anonymous session if not provided)--url- Initial URL to navigate to (optional)--files- Comma-separated file IDs to make available in the session (optional)--device mobile|desktop- Device type (default: mobile)--profile-read-only- Load profile without saving changes--allowed-urls- Comma-separated URL patterns to restrict access to certain URLs only (e.g., "https://example.com/,https://api.example.com/")--no-proxy- Disable the default proxy (see note below)
Important: Save the session ID from the output - you'll need it for all subsequent commands.
Proxy behavior: By default, the CLI automatically configures a built-in proxy for the browser session. If a website blocks the proxy or you need direct connections, disable it with --no-proxy.
3. Run Tasks in the Session
Execute tasks using natural language:
smooth run -- <session-id> "Go to the LocalLLM subreddit and find the top 3 posts"With structured output (for tasks requiring interaction):
smooth run -- <session-id> "Search for 'wireless headphones', filter by 4+ stars, sort by price, and extract the top 3 results" \
--url "https://shop.example.com" \
--response-model '{"type":"array","items":{"type":"object","properties":{"product":{"type":"string","description":"Thenameoftheproductbeingdescribed."},"sentiment":{"type":"string","enum":["positive","negative","neutral"],"description":"The overall sentiment about the product."}},"required":["product","sentiment"]}}'With metadata (the agent will be):
smooth run -- <session-id> "Fill out the form with user information" \
--metadata '{"email":"user@example.com","name":"John Doe"}'Options:
--url- Navigate to this URL before running the task--metadata- JSON object with variables for the task--response-model- JSON schema for structured output--max-steps- Maximum agent steps (default: 32)--json- Output results as JSON
Notes: It's important that you give tasks at the right level of abstraction. Not too prescriptive - e.g. single-step actions - and not too broad or vague.
Good tasks:
- "Search on Linkedin for people working as SDEs at Amazon, and return 5 profile urls"
- "Find the price of an iPhone 17 on Amazon"
Bad tasks:
- "Click search" -> too prescriptive!
- "Load google.com, write 'restaurants near me', click search, wait for the page to load, extract the top 5 results, and return them." -> too prescriptive! you can say "search restaurants near me on google and return the top 5 results"
- "Find software engineers that would be a good fit for our company" -> too broad! YOU need to plan how to achieve the goal and run well-defined tasks that compose into the given goal
IMPORTANT: Smooth is powered by an intelligent agent, DO NOT over-controll it, and give it well-defined goal-oriented tasks instead of steps.
4. Close the Session
You must close the session when you're done.
smooth close-session -- <session-id>Important: Wait 5 seconds after closing to ensure cookies and state are saved to the profile if you need it for another session.
---
Common Use Cases
Authentication & Persistent Sessions
Create a profile for a specific website:
# Create profile
smooth create-profile --profile-id "github-account"
# Start session
smooth start-session --profile-id "github-account" --url "https://github.com/login"
# Get live view to authenticate manually
smooth live-view -- <session-id>
# Give the URL to the user so it can open it in the browser and log in
# When the user confirms the login you can then close the session to save the profile data
smooth close-session -- <session-id>
# Save the profile-id somewhere to later reuse itReuse authenticated profile:
# Next time, just start a session with the same profile
smooth start-session --profile-id "github-account"
smooth run -- <session-id> "Create a new issue in my repo 'my-project'"Keep profiles organized: Save to memory which profiles authenticate to which services so you can reuse them efficiently in the future.
---
Sequential Tasks on Same Browser
Execute multiple tasks in sequence without closing the session:
SESSION_ID=$(smooth start-session --profile-id "my-profile" --json | jq -r .session_id)
# Task 1: Login
smooth run $SESSION_ID "Log into the website with the given credentials"
# Task 2: First action
smooth run $SESSION_ID "Find the settings and change the notifications preferences to email only"
# Task 3: Second action
smooth run $SESSION_ID "Find the billing section and give me the url of the latest invoice"
smooth close-session $SESSION_IDImportant: run preserves the browser state (cookies, URL, page content) but not the browser agent's memory. If you need to carry information from one task to the next, you should pass it explicitly in the prompt.
Example - Passing context between tasks:
# Task 1: Get information
RESULT=$(smooth run $SESSION_ID "Find the product name on this page" --json | jq -r .output)
# Task 2: Use information from Task 1
smooth run $SESSION_ID "Consider the product with name '$RESULT'. Now find 3 similar products offered by this online store."Notes:
- The run command is blocking. If you need to carry out multiple tasks at the same time, you MUST use subagents (Task tool).
- All tasks will use the current tab, you cannot request to run tasks in a new tab. If you need to preserve the current tab’s state, you can open a new session.
- Each session can run only one task at a time. To run tasks simultaneously, use subagents with one session each.
- The maximum number of concurrent sessions depends on the user plan.
- If useful, remind the user that they can upgrade the plan to give you more concurrent sessions.
---
Web Scraping with Structured Output
Option 1: Using `run` with structured output:
smooth start-session --url "https://news.ycombinator.com"
smooth run -- <session-id> "Extract the top 10 posts" \
--response-model '{
"type": "object",
"properties": {
"posts": {
"type": "array",
"items": {
"type": "object",
"properties": {
"title": {"type": "string"},
"url": {"type": "string"},
"points": {"type": "number"}
}
}
}
}
}'Option 2: Using `extract` for direct data extraction:
The extract command is more efficient for pure data extraction as it doesn't use agent steps.
It's like a smart fetch that can extract structured data from dynamically rendered websites:
smooth start-session
smooth extract -- <session-id> \
--url "https://news.ycombinator.com" \
--schema '{
"type": "object",
"properties": {
"posts": {
"type": "array",
"items": {
"type": "object",
"properties": {
"title": {"type": "string"},
"url": {"type": "string"},
"points": {"type": "number"}
}
}
}
}
}' \
--prompt "Extract the top 10 posts"When to use each:
- Use
extractwhen you're on the right page or know the right url and just need to pull structured data - Use
runwhen you need the agent to navigate, interact, or perform complex actions before extracting
---
Working with Files
Upload files for use in sessions:
Files must be uploaded before starting a session, then passed to the session via file IDs:
# Step 1: Upload files
FILE_ID=$(smooth upload-file /path/to/document.pdf --purpose "Contract to analyze" --json | jq -r .file_id)
# Step 2: Start session with the file
smooth start-session --files "$FILE_ID" --url "https://example.com"
# Step 3: The agent can now access the file in tasks
smooth run -- <session-id> "Analyze the contract document and extract key terms"Upload multiple files:
# Upload files
FILE_ID_1=$(smooth upload-file /path/to/invoice.pdf --json | jq -r .file_id)
FILE_ID_2=$(smooth upload-file /path/to/screenshot.png --json | jq -r .file_id)
# Start session with multiple files
smooth start-session --files "$FILE_ID_1,$FILE_ID_2"Download files from session:
smooth run -- <session-id> "Download the monthly report PDF" --url
smooth close-session -- <session-id>
# After session closes, get download URL
smooth downloads -- <session-id>
# Visit the URL to download files---
Live View & Manual Intervention
When automation needs human input (CAPTCHA, 2FA, complex authentication):
smooth start-session --profile-id "my-profile"
smooth run -- <session-id> "Go to secure-site.com and log in"
# If task encounters CAPTCHA or requires manual action:
smooth live-view -- <session-id>
# Open the URL and complete the manual steps
# Continue automation after manual intervention:
smooth run -- <session-id> "Now navigate to the dashboard and export data"---
Direct Browser Actions
Extract data from current page:
smooth start-session --url "https://example.com/products"
smooth extract -- <session-id> \
--schema '{"type":"object","properties":{"products":{"type":"array"}}}' \
--prompt "Extract all product names and prices"Navigate to URL then extract:
smooth extract -- <session-id> \
--url "https://example.com/products" \
--schema '{"type":"object","properties":{"products":{"type":"array"}}}'Execute JavaScript in the browser:
# Simple JavaScript
smooth evaluate-js -- <session-id> "document.title"
# With arguments
smooth evaluate-js -- <session-id> "(args) => {return args.x + args.y;}" --args '{"x": 5, "y": 10}'
# Complex DOM manipulation
smooth evaluate-js -- <session-id> \
"document.querySelectorAll('a').length"---
Profile Management
List all profiles:
smooth list-profilesDelete a profile:
smooth delete-profile <profile-id>When to use profiles:
- ✅ Websites requiring authentication
- ✅ Maintaining session state across multiple task runs
- ✅ Avoiding repeated logins
- ✅ Preserving cookies and local storage
When to skip profiles:
- Public websites that don't require authentication
- One-off scraping tasks
- Testing scenarios
---
File Management
Upload files:
smooth upload-file /path/to/file.pdf --name "document.pdf" --purpose "Contract for review"Delete files:
smooth delete-file <file-id>---
Best Practices
1. Always save session IDs - You'll need them for subsequent commands 2. Use profiles for authenticated sessions - Track which profile is for which website 3. Wait 5 seconds after closing sessions - Ensures state is properly saved 4. Use descriptive profile IDs - e.g., "linkedin-personal", "twitter-company" 5. Close sessions when done - Graceful close (default) ensures proper cleanup 6. Use structured output for data extraction - Provides clean, typed results 7. Run sequential tasks in the same session - Keep the session continuous when steps rely on previous work. 8. Use subagents with one session each for independent tasks - Run tasks in parallel to speed up work. 9. Coordinate resources - When working with subagents, you must create and assign ONE section to each subagent without having them creating them. 10. Do not add url query parameters to urls, e.g. avoid `?filter=xyz` - Start at the base URL and let the agent navigate the UI to apply filters. 11. Smooth is powered by an intelligent agent - Give it tasks, not individual steps.
---
Troubleshooting
"Session not found" - The session may have timed out or been closed. Start a new one.
"Profile not found" - Check smooth list-profiles to see available profiles.
CAPTCHA or authentication issues - Use smooth live-view -- <session-id> to let the user manually intervene.
Task timeout - Increase --max-steps or break the task into smaller steps.
---
Command Reference
Profile Commands
smooth create-profile [--profile-id ID]- Create a new profilesmooth list-profiles- List all profilessmooth delete-profile <profile-id>- Delete a profile
File Commands
smooth upload-file <path> [--name NAME] [--purpose PURPOSE]- Upload a filesmooth delete-file <file-id>- Delete an uploaded file
Session Commands
smooth start-session [OPTIONS]- Start a browser sessionsmooth close-session -- <session-id> [--force]- Close a sessionsmooth run -- <session-id> "<task>" [OPTIONS]- Run a tasksmooth extract -- <session-id> --schema SCHEMA [OPTIONS]- Extract structured datasmooth evaluate-js -- <session-id> "code" [--args JSON]- Execute JavaScriptsmooth live-view -- <session-id>- Get interactive live URLsmooth recording-url -- <session-id>- Get recording URLsmooth downloads -- <session-id>- Get downloads URL
All commands support --json flag for JSON output.
{
"name": "Smooth Browser",
"installedAt": 1776152090243,
"source": "marketplace",
"iconSource": "smooth-browser",
"version": "0.1.0"
}Related skills
FAQ
How does smooth-browser persist logins?
It uses named profiles that save cookies, login sessions, and browser state between sessions.
What abstraction level should tasks use?
Goal-oriented tasks, not prescriptive single-step clicks; give it a well-defined goal rather than step-by-step instructions.