amazon-alexa-qa
Amazon Alexa for Shopping Q&A automation: submits questions to Amazon's Alexa/Rufus AI shopping assistant and collects response text; supports optional keyword search context (navigate to search results page before asking for category-specific answers). Use when user mentions Amazon Alexa, Rufus, Amazon shopping assistant, Amazon AI chat, ask Amazon, Amazon Q&A, automate Alexa questions, Rufus chatbot, Amazon assistant automation, collect Alexa responses, bulk question submission to Amazon, keyword search context, category research. Also applies to extracting Amazon product recommendations fro
npx skills add browser-act/skills --skill amazon-alexa-qa --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Amazon — Alexa for Shopping Q&A > Input: question text → Output: Alexa/Rufus response text (JSON) ## Language All process output to user (progress updates, process notifications, final results) MUST be in English. ## Objective Automate question submission to Amazon's Alexa/Rufus AI shopping assistant and collect structured response data. ## Prerequisites - Target page is already open in the browser: `https://www.amazon.com/` - Logged into Amazon (user account name or "Hello, {name}" visible in top navigation) ## Pre-execution Checks ### 1. Tool Readiness If browser-act has been confirmed available in the current session → skip this step. Invoke `browser-act` via Skill tool to load usage. If installation or configuration issues arise, follow its guidance to resolve then retry. ### 2. Login Verification If login status for Amazon has been confirmed in the current session → skip this step. Otherwise: open `https://www.amazon.com/` and observe the page login status: - "Hello, {name}" visible in the navigation bar → logged in, continue execution - "Hello, sign in" or "Sign in" entry visible with no logout entry → not logged in, inform the user that login is needed first, assist the us
- Language
- Objective
- Prerequisites
- Pre-execution Checks
- 1. Tool Readiness
- 2. Login Verification
- Capability Components
- Navigation: Set keyword search context (optional)
- DOM: Check Alexa panel state
- DOM: Inject question and submit (operation)
- DOM: Extract latest Alexa response
- Composite: Full Q&A turn (submit question → collect response)
- Success Criteria
- Known Limitations
navigate "https://www.amazon.com/s?k={keyword}"
wait stable
Navigate to category page once, then ask all related questions
browser-act --session $SESSION navigate "https://www.amazon.com/s?k=$KEYWORD"
browser-act --session $SESSION wait stable
for q in "${questions[@]}"; do
cd "$SKILL_DIR"
eval "$(python scripts/inject-question.py "$q")"
browser-act --session $SESSION wait stable --timeout 60000
sleep 3What does the amazon-alexa-qa skill do?
Amazon Alexa for Shopping Q&A automation: submits questions to Amazon's Alexa/Rufus AI shopping assistant and collects response text; supports optional keyword search context (navigate to search results page before asking for category-specific answers). Use when user mentions Amazon Alexa, Rufus, Amazon shopping assistant, Amazon AI chat, ask Amazon, Amazon Q&A, automate Alexa questions, Rufus chatbot, Amazon assistant automation, collect Alexa responses, bulk question submission to Amazon, keyword search context, category research. Also applies to extracting Amazon product recommendations fro
How do I install it?
Run `npx skills add browser-act/skills --skill amazon-alexa-qa --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From browser-act/skills, a repository with 5,160 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.
