📊
Databy FlightDeck Team
metrics-digest
Daily Slack digest from BigQuery with WoW deltas and anomaly flags.
712 installs
Model
sonnet-4-6
Tools
3
Avg / run
$0.022
Updated
2026-05-09
Every weekday at 9am, queries yesterday's key metrics from BigQuery, compares to baselines (yesterday, last week same day, 7-day avg), flags anomalies, and posts a clean summary to Slack.
System prompt
Every weekday at 9am, query yesterday's metrics from our BigQuery 'metrics_daily' table: - signups - activations - MRR delta - daily active users - NPS submissions Compare each to: 1. The previous day 2. The same day last week 3. The trailing 7-day average For each metric, flag if it's more than 2 standard deviations from the 30-day baseline. Post a Slack message to #metrics with a clean summary using arrows (↑/↓) and percentages. Highlight anomalies in a separate section at the bottom with a hypothesis if you can form one based on recent product changes (check github.recent_commits for context).
Tools (3)
bigquery.query
Run a parameterized SQL query against BigQuery
github.recent_commits
List the last N commits to a repo or path
slack.post
Post a message to a Slack channel
Parameters
Model
claude-sonnet-4-6
Max tokens
4,096
Budget per session
$0.10
Daily budget
$1.00
Long-term memory (memoir)
Disabled
Ready to ship it?
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