amazon
4
总安装量
4
周安装量
#50225
全站排名
安装命令
npx skills add https://github.com/tychohq/agent-skills --skill amazon
Agent 安装分布
mcpjam
4
claude-code
4
replit
4
junie
4
windsurf
4
zencoder
4
Skill 文档
Amazon Ordering
Prerequisites
agent-browserCLI installed- Chrome running with
--remote-debugging-port=9222(see Starting the browser) - Logged into Amazon â 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>â 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” â “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_DROPOFFor Whole Foods
Return Flow
- Orders â Find item â “Return or replace items”
- Select “Changed Mind” â “My needs changed” â Continue
- Answer condition questions with defaults above
- Continue past “Get Product Support” suggestions
- Select “Refund to original payment method”
- Select drop-off location
- Confirm return
- Done â QR code will be emailed
Communication Style
- Do NOT narrate each step â 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 â 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 â 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
:99on port 5999 (noVNC on 6080) - Order confirmations go to the email on your Amazon account
- CAPTCHAs or 2FA may require manual intervention â if the browser window is visible (macOS or Linux desktop), ask the user to solve it in the Chrome window