Monitors revenue metrics, tracks subscription changes, and alerts on revenue anomalies or threshold breaches.
Scanned 9/2/2026
Install to Claude Code
npx -y skills add majiayu000/claude-skill-registry --skill revenue --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: revenue-monitor
description: Monitors revenue metrics, tracks subscription changes, and alerts on revenue anomalies or threshold breaches.
tags: [monitoring, revenue, subscriptions]
---
# Revenue Monitor
## When to use
- "Monitor revenue trends"
- "Alert when revenue drops"
- "Track subscription churn"
- "Monitor MRR/ARR changes"
- "Alert on refund spikes"
## What it monitors
- **Revenue metrics**: MRR, ARR, daily revenue
- **Subscription metrics**: New subscriptions, cancellations, churns, renewals
- **Refunds**: Refund rate, refund amount
- **Tier changes**: Upgrades, downgrades
- **Enterprise contracts**: Contract value, renewals
## Steps
1. **Gather requirements from user:**
- Which revenue metric to monitor
- Alert threshold (e.g., "drop > 10%", "< $X per day")
- Time window (daily, weekly, monthly)
- Notification channel (Slack, email)
2. **Read shared files:**
- `shared/bq-schema.md` — Subscription tables (ltxstudio_user_tiers_dates, etc.)
- `shared/metric-standards.md` — Revenue metric definitions
3. **Write monitoring SQL:**
- Query current metric value
- Compare against historical baseline or threshold
- Flag anomalies or breaches
4. **Present to user:**
- Show SQL query
- Show example alert format
- Confirm threshold values
5. **Set up alert** (manual for now):
- Document SQL in Hex or BigQuery scheduled query
- Configure Slack webhook or notification
## Reference files
| File | Read when |
|------|-----------|
| `shared/bq-schema.md` | Writing SQL for subscription/revenue tables |
| `shared/metric-standards.md` | Defining revenue metrics |
## Rules
- DO use LTX Studio subscription tables from bq-schema.md
- DO exclude is_lt_team unless explicitly requested
- DO validate thresholds with user before setting alerts
- DO NOT hardcode dates — use rolling windows
- DO account for timezone differences in daily revenue calculations
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