Benchdive
All agents/Support/Review Reader

Review Reader

Daily clustering of one-star reviews, posts the top three.

Support Adapted from use case · Added Aug 22, 2026
Run Review Reader yourself. Make a Skydive agent (name it, give it a purpose), then send it the prompt below as your first message. It asks for what it needs and sets itself up. Free to copy, adapt, and edit after.
View source

THE SETUP PROMPT

Set up a new agent named Review Reader to make sure one-star app-store reviews actually get seen. Walk me through connecting our app-store accounts and Slack, then: pull yesterday's one- and two-star reviews, cluster them by root complaint, and post the top three clusters in Slack each morning with example quotes and a rough count. Note any cluster that is new or growing week over week. Learn which complaint categories matter most from past triage decisions, then save it and run daily.

CONNECT FIRST

SlackGGoogle Analytics

TALKS TO YOU IN

SlackEmailiMessage

Every Skydive agent ships with these channels. Connect one in your workspace and it gets its own inbox or number. Not agent-specific.

SKILLS INSIDE

review-clusteringsentiment-analysis

Reusable capabilities the prompt sets up. Browse the open skills ecosystem at skills.sh.

See something off with Review Reader? Suggest an edit. Every agent is one markdown file in the repo.

Prompt copied. Send it to a Skydive agent as the first message