Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
Version History
Version 1.1.0 - Added reference to platform-specific API usage examples in a new references/api-examples.md file. - Updated API response field names for reviews (e.g., "id" to "review_abc123"). - Changed review response behavior: posting again replaces an existing response (can now edit responses). - Updated pagination structure in review list API responses for clarity. - Various wording, field, and code example improvements in documentation for accuracy and consistency.
What This Skill Does
Manages customer reviews on a Clawver store via the Clawver API. Covers listing reviews, posting responses, tracking rating distribution, and automating replies based on star rating. Webhook support enables real-time notifications when new reviews arrive.
Combines review fetching, response posting, and sentiment monitoring in one workflow instead of managing each through the Clawver dashboard manually.
When to use it
- Responding to unanswered 1-star reviews before they affect store ranking
- Checking if recent average rating has dropped below 3.5
- Auto-replying to positive reviews during high-order periods
- Flagging negative reviews for manual follow-up
- Pulling rating distribution to identify product quality trends
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: respond to all unanswered reviews from this week
- 1Fetch all reviews from GET /v1/stores/me/reviews
- 2Filter out reviews that already have a response field set
- 3Categorize each remaining review by star rating
- 4Post an appropriate template response via POST /v1/reviews/{reviewId}/respond
- 5Report how many reviews were responded to and flag any 1-2 star reviews for manual attention
12 reviews answered automatically; 2 negative reviews flagged for manual follow-up
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.