amazon

Buy and return items on Amazon using browser automation. Use for purchasing, reordering, checking order history, and processing returns.

Safety Notice

This listing is from the official public ClawHub registry. Review SKILL.md and referenced scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "amazon" with this command: npx skills add BrennerSpear/amazon-ordering

Amazon Ordering

Prerequisites

  • agent-browser CLI installed
  • Chrome running with --remote-debugging-port=9222 (see Starting the browser)
  • Logged into Amazon — if logged out, retrieve password from your password manager
  • If running headless (Linux/VNC), forward the VNC port to verify visually: ssh -L 6080:localhost:6080 <host>http://localhost:6080/vnc.html

Setup

Set these environment variables or configure your defaults:

# Your default shipping address (verify on checkout)
export AMAZON_SHIPPING_ADDRESS="Your shipping address"
# Your preferred payment method description (verify on checkout)
export AMAZON_PAYMENT_METHOD="Your preferred card"
# Your preferred return drop-off location
export AMAZON_RETURN_DROPOFF="Whole Foods"

Always verify shipping address and payment method are correct before placing an order.

Returns

Default Answers (use unless user specifies otherwise)

  • Return reason: "Changed Mind" → "My needs changed"
  • Packaging opened: Yes
  • Item in original packaging: Yes
  • Have you used the item: Yes
  • Signs of use: None
  • Battery leaks/overheating: No
  • All accessories included: Yes
  • Refund type: Refund to original payment method (not replacement, not gift card)
  • Drop-off location: Use AMAZON_RETURN_DROPOFF or Whole Foods

Return Flow

  1. Orders → Find item → "Return or replace items"
  2. Select "Changed Mind" → "My needs changed" → Continue
  3. Answer condition questions with defaults above
  4. Continue past "Get Product Support" suggestions
  5. Select "Refund to original payment method"
  6. Select drop-off location
  7. Confirm return
  8. Done — QR code will be emailed

Communication Style

  • Do NOT narrate each step — just execute the whole return silently
  • Only message the user once it's confirmed with a brief summary:
    • Item name
    • Refund amount
    • Drop-off location & deadline
  • If something goes wrong or needs clarification, then ask

Ordering Rules

Reorders (items ordered before)

  • Go directly to order history, search for item
  • Click "Buy it again"
  • Verify address and payment method
  • Place order without confirmation — no screenshot needed

New Items (never ordered before)

  • Search or navigate to product
  • Send screenshot of product page (scroll so price + product image visible, skip nav bars)
  • Wait for user confirmation before adding to cart
  • Verify address and payment method
  • Place order after confirmation

Workflow

Connect to browser

agent-browser connect 9222

Always open a new tab — other sessions share the same Chrome. Use --new-tab on every open command.

Search order history

agent-browser open "https://www.amazon.com/gp/your-account/order-history"
agent-browser snapshot -i
# Find search box, fill with item name, click search

Reorder flow

# From order history search results
agent-browser click @[buy-it-again-ref]
# Wait for checkout page
agent-browser snapshot
# Verify correct address and payment method are selected
agent-browser click @[place-order-ref]

Screenshot tips

  • Scroll past nav bars before screenshotting
  • Ensure price and product image are both visible
  • Save screenshots to a temporary directory
  • Send via message tool with caption

Starting the browser (if not running)

macOS (opens a visible Chrome window):

open -na "Google Chrome" --args --user-data-dir=$HOME/.config/chrome-agent --no-first-run --remote-debugging-port=9222 https://www.amazon.com

Linux (headless with Xvfb/VNC):

DISPLAY=:99 google-chrome --user-data-dir=$HOME/.config/chrome-agent --no-first-run --remote-debugging-port=9222 https://www.amazon.com &

Linux (desktop/GUI session):

google-chrome --user-data-dir=$HOME/.config/chrome-agent --no-first-run --remote-debugging-port=9222 https://www.amazon.com &

Notes

  • Browser profile persists login at $HOME/.config/chrome-agent
  • On headless Linux, VNC display is typically :99 on port 5999 (noVNC on 6080)
  • Order confirmations go to the email on your Amazon account
  • CAPTCHAs or 2FA may require manual intervention — if the browser window is visible (macOS or Linux desktop), ask the user to solve it in the Chrome window

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

Automation

M365 (Microsoft) Task Manager by altf1be

Manage lightweight Microsoft 365 task workflows with Microsoft To Do and Planner. Use when a user needs to quickly create, assign, track, and follow up opera...

Registry SourceRecently Updated
Automation

Self Improving Agent

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...

Registry SourceRecently Updated
Automation

Posta

Post to Instagram, TikTok, LinkedIn, YouTube, X/Twitter, Facebook, Pinterest, Threads and Bluesky from your terminal. Create posts with AI-generated images a...

Registry SourceRecently Updated
Automation

PPT AFP

PPT全自动生成流(AFP:Auto-Flow Prompt)。用户提供主题和内容,Agent自动完成:风格选择 → 大纲生成 → Prompt生成 → AI生图 → 打包PPTX → 发送飞书。当用户说"帮我做PPT"、"生成幻灯片"、"制作演示文稿"、"ppt-afp"时触发。

Registry SourceRecently Updated