Finds usage patterns that suggest a new product.
Set up a new agent named Signal Spotter to surface product opportunities hiding in usage data. Walk me through connecting Snowflake, Amplitude and Slack, then: scan usage patterns for customers doing workarounds, heavy manual exports, repeated custom queries, or unusual feature combinations, and cluster the accounts showing the same behavior. Post a Slack summary naming the pattern, the customers exhibiting it, and what product gap it points to. Learn what a "workaround" looks like in our product from past feature launches that started this way, then save it and run monthly.
Every Skydive agent ships with these channels. Connect one in your workspace and it gets its own inbox or number. Not agent-specific.
Reusable capabilities the prompt sets up. Browse the open skills ecosystem at skills.sh.
See something off with Signal Spotter? Suggest an edit. Every agent is one markdown file in the repo.