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Agent skill

Shopping Admin Browser Automation

by MassLab-SII in MassLab-SII/open-agent-skills

This skill provides tools and techniques for Magento Admin panel automation.

Apache-2.0Auto-check passedProductivity & Automation

Install Shopping Admin Browser Automation

skills CLI
$ npx skills add MassLab-SII/open-agent-skills --skill shopping-admin-browser-automation -a claude-code

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

GitHub CLI
$ gh skill install MassLab-SII/open-agent-skills shopping-admin-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/MassLab-SII/open-agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/shopping_admin .claude/skills/shopping-admin-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/

Facts

Skill name
shopping-admin-browser-automation
GitHub stars
133
Token cost
~1.4k tokens
SKILL.md length
457 words
Files
8 (incl. scripts)
Skills in repo
7
Repo updated
First seen
Licence
Apache-2.0

At a glance

This skill provides tools and techniques for Magento Admin panel automation.

  • Works in 2 steps: Admin Login → Create Customer
  • Tasks that involve Browser automation
  • SKILL.md covers Core Concepts, I. Skills, II. Basic Tools (When to Use… and III. Best Practice…, plus 1 more section
  • Runs Python scripts from its folder; calls python

What it does

Shopping Admin Browser Automation is an agent skill from MassLab-SII/open-agent-skills. This skill provides tools and techniques for Magento Admin panel automation. Includes admin login, customer management, search term analysis, and other common admin scenarios. Suitable for tasks requiring complex operations on e-commerce admin backends.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts (for example `scripts/admin_login.py`, `scripts/browser_client.py` and `scripts/browser_server.py`).

It sits in Productivity & Automation, covering Browser automation and E-commerce operations. It works with Adobe Commerce. The repository describes itself as: We are dedicated to building a set of open agent skills that deliver superior performance, higher determinism, and greater consistency on targeted tasks, while operating at a… The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Browser automation
  • Tasks that involve E-commerce operations

Example prompts

  • “/shopping-admin-browser-automation”

Requirements

  • Python 3

Workflow steps

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

  1. Admin Login
  2. Create Customer

What it can do on your machine

Read from SKILL.md and the folder at commit ece5fab. 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

    Ships 7 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    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

Shopping Admin Browser Automation loads about 1.4k tokens when it runs. Until then it costs about 72 tokens; SKILL.md has 457 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~72
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from MassLab-SII/open-agent-skills at commit ece5fab, republished under its Apache-2.0 licence (© MassLab-SII). 457 words, ~1,423 tokens.

Download SKILL.mdSave it as .claude/skills/shopping-admin-browser-automation/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
shopping-admin-browser-automation
description
This skill provides tools and techniques for Magento Admin panel automation. Includes admin login, customer management, search term analysis, and other common admin scenarios. Suitable for tasks requiring complex operations on e-commerce admin backends.

Shopping Admin Browser Automation Skill

This skill is based on Playwright MCP tools, providing automation capabilities for Magento Admin panel.

Core Concepts

In admin panel automation, we distinguish two types of operations:

  1. Skill: Meaningful combinations of multiple tool calls, encapsulated as independent Python scripts
  2. Basic Tools: Single function calls used for atomic operations.

I. Skills

1. Admin Login

Use Cases:

  • Login to Magento Admin panel at the start of admin tasks
  • Authenticate with admin credentials

Prerequisites:

  • Get ref values for form fields

Usage:

bash
# Usage:
#   python admin_login.py <admin_url> <username> <password> <username_ref> <password_ref> <signin_ref>
# Example:
python admin_login.py http://localhost:7780/admin admin admin1234 e15 e20 e23
2. Create Customer

Use Cases:

  • Create a new customer after clicking "Add New Customer" button
  • Add customers to specific customer groups

Usage:

bash
# Usage:
#   python create_customer.py <first_name> <last_name> <email> <group> <group_ref> <fname_ref> <lname_ref> <email_ref> <save_btn_ref>
# Example:
python create_customer.py "Isabella" "Romano" "isabella.romano@premium.eu" "Premium Europe" e92 e112 e124 e136 e61

II. Basic Tools (When to Use Single Functions)

Below are the basic tool functions and their use cases. These are atomic operations for flexible combination.

Note: Code should be written without line breaks.

How to Run
bash
# Standard format (browser persists across calls)
python run_browser_ops.py -c "await browser.navigate('http://localhost:7780/admin')"
Navigation Tools
navigate(url: str)

Use Cases:

  • Open admin panel URL
  • Navigate to specific admin pages

Example:

bash
python run_browser_ops.py -c "await browser.navigate('http://localhost:7780/admin')"
navigate_back()

Use Cases:

  • Go back to previous page
  • Return to list page after viewing details

Example:

bash
python run_browser_ops.py -c "await browser.navigate_back()"
Interaction Tools
click(ref: str, element: Optional[str] = None)

Use Cases (very broad):

  • Click navigation menu items (Customers, Marketing, Reports, etc.)
  • Click submenu links (All Customers, Customer Groups, Search Terms, etc.)
  • Click action buttons (Add New, Save, Search, Reset Filter)
  • Click table rows for details

Example:

bash
# Click Customers menu
python run_browser_ops.py -c "await browser.click(ref='e17', element='Customers menu')"

# Click All Customers link
python run_browser_ops.py -c "await browser.click(ref='e182', element='All Customers link')"
type_text(ref: str, text: str, element: Optional[str] = None)

Use Cases:

  • Enter text in form fields
  • Fill filter inputs
  • Enter search terms

Example:

bash
# Enter username
python run_browser_ops.py -c "await browser.type_text(ref='e15', text='admin', element='Username textbox')"

# Enter filter value
python run_browser_ops.py -c "await browser.type_text(ref='e109', text='tank', element='Search Query filter input')"
select_option(ref: str, element_desc: str, value: str)

Use Cases:

  • Select dropdown values (Customer Group, Status filter, Store View)
  • Select options in forms

Example:

bash
# Select customer group
python run_browser_ops.py -c "await browser.select_option(ref='e92', element_desc='Group select', value='Premium Europe')"

# Select status filter
python run_browser_ops.py -c "await browser.select_option(ref='e124', element_desc='Status filter combobox', value='Subscribed')"
press_key(key: str)

Use Cases:

  • Submit forms (press Enter)
  • Close dialogs (press Escape)

Example:

bash
python run_browser_ops.py -c "await browser.press_key('Enter')"
Show full SKILL.md (182 more words)Show less
Page State Tools
snapshot()

Use Cases (very important):

  • When unsure about current page state
  • Need to view complete page content to decide next action
  • Verify if operation was successful
  • Find ref references for specific elements

Example:

bash
python run_browser_ops.py -c "await browser.snapshot()"

Best Practices:

  • Use snapshot before and after critical operations to confirm state
  • Use snapshot after navigation to find element refs
  • Use snapshot to verify data in tables and grids
Tab Management
list_tabs()

Use Cases:

  • View all currently open tabs
  • Get tab ID
tab_new(url: Optional[str] = None)

Use Cases:

  • Open admin section in new tab
  • Compare data across multiple pages

Example:

bash
python run_browser_ops.py -c "await browser.tab_new(url='http://localhost:7780/admin/customer/index/')"

III. Best Practice Recommendations

Make Good Use of snapshot()

Use snapshot() in the following situations:

  • Just entered a new page, unsure about page structure
  • After executing an operation, need to verify results
  • Need to find ref references for elements
  • Unsure about current state of filters or grids

Usage Principles

  1. Start with admin_login.py: Most admin tasks require authentication first
  2. Use snapshot() liberally: Admin pages have complex structures, verify state
  3. Use basic tools for dynamic refs: Element refs may change, use snapshot to find current refs

© MassLab-SII, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 7 other files (scripts) in skills/shopping_admin of MassLab-SII/open-agent-skills.

  • SKILL.md
  • scripts/admin_login.py
  • scripts/browser_client.py
  • scripts/browser_server.py
  • scripts/create_customer.py
  • scripts/run_browser_ops.py
  • scripts/test_skills.py
  • scripts/utils.py

Open the folder on GitHubat commit ece5fab

Compare with similar skills

Shopping Admin 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.

Shopping Admin Browser Automation compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Shopping Admin Browser Automation this skillMassLab-SII/open-agent-skills133—~1.4kAutomated safety check: PassApache-2.0
Bright Data MCPbrightdata/skills2641 repos~3.7kAutomated safety check: PassMIT
Amazon.com Browsing Actionsbrowsing-skills/browsing-skills117—~702Automated safety check: PassMIT
Ecommerce Product Detailbrowser-act/skills6.1k—~1.6kAutomated safety check: PassMIT
Ecommerce Patternssoftspark/ai-toolkit179—~1.8kAutomated safety check: PassApache-2.0
Dev-Browser CLI AutomationSawyerHood/dev-browser6.7k1 repos~455Automated safety check: PassMIT

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Works with

Categories

Questions about Shopping Admin Browser Automation

What does Shopping Admin Browser Automation do?

This skill provides tools and techniques for Magento Admin panel automation. Shopping Admin Browser Automation is an agent skill from MassLab-SII/open-agent-skills. This skill provides tools and techniques for Magento Admin panel automation.

When should I use Shopping Admin Browser Automation?

Shopping Admin Browser Automation fits situations like: tasks that involve Browser automation; tasks that involve E-commerce operations.

How do I install Shopping Admin Browser Automation in Claude Code?

Run `npx skills add MassLab-SII/open-agent-skills --skill shopping-admin-browser-automation -a claude-code`. Or copy the skill folder (skills/shopping_admin in MassLab-SII/open-agent-skills) into .claude/skills/shopping-admin-browser-automation in your project. Claude Code loads it when a task matches its description.

How do I install Shopping Admin Browser Automation in Codex?

Run `npx skills add MassLab-SII/open-agent-skills --skill shopping-admin-browser-automation -a codex`. Or copy the skill folder (skills/shopping_admin in MassLab-SII/open-agent-skills) into .agents/skills/shopping-admin-browser-automation in your project. Codex loads it when a task matches its description.

Can I use Shopping Admin 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 MassLab-SII/open-agent-skills --skill shopping-admin-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/shopping-admin-browser-automation, .gemini/skills/shopping-admin-browser-automation, .github/skills/shopping-admin-browser-automation and .opencode/skills/shopping-admin-browser-automation in your project.

What does Shopping Admin Browser Automation need to run?

Going by SKILL.md and its folder, Shopping Admin Browser Automation needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Shopping Admin Browser Automation access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Shopping Admin 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Shopping Admin Browser Automation use?

Shopping Admin Browser Automation is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Shopping Admin Browser Automation use?

About 1.4k tokens (SKILL.md is roughly 5.7k 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 Shopping Admin Browser Automation?

Skills that share tags, products or a category with Shopping Admin Browser Automation: Bright Data MCP (brightdata/skills, 264 stars), Amazon.com Browsing Actions (browsing-skills/browsing-skills, 117 stars), Ecommerce Product Detail (browser-act/skills, 6.1k stars) and Ecommerce Patterns (softspark/ai-toolkit, 179 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Shopping Admin Browser Automation?

MassLab-SII (a GitHub organization) maintains it in MassLab-SII/open-agent-skills, which has 133 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on December 29, 2025.

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