Monitors enterprise account health, usage, and contract compliance. Alerts on low engagement, quota breaches, or churn risk.
Scanned 9/2/2026
Install to Claude Code
npx -y skills add majiayu000/claude-skill-registry --skill enterprise-lightricks-ltx-analytics-agents --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: enterprise-monitor
description: Monitors enterprise account health, usage, and contract compliance. Alerts on low engagement, quota breaches, or churn risk.
tags: [monitoring, enterprise, accounts, contracts]
---
# Enterprise Monitor
## When to use
- "Monitor enterprise account usage"
- "Monitor enterprise churn risk"
- "Alert when enterprise account is inactive"
## What it monitors
- **Account usage**: DAU, WAU, MAU per enterprise org
- **Token consumption**: Usage vs contracted quota, historical consumption trends
- **User activation**: % of seats active
- **Engagement**: Video generations, image generations, downloads per org
- **Churn signals**: Declining usage, inactive users
## Steps
1. **Gather requirements from user:**
- Which enterprise org(s) to monitor (or all)
- Alert threshold based on historical usage of each account (e.g., "usage drops > 30% vs their baseline", "MAU below their 30-day average", "< 50% of contracted quota")
- Time window (weekly, monthly)
- Notification channel (Slack, email, Linear issue)
2. **Read shared files:**
- `shared/product-context.md` — LTX products, enterprise business model, user types
- `shared/bq-schema.md` — Enterprise user segmentation queries
- `shared/metric-standards.md` — Enterprise metrics, quota tracking
- `shared/event-registry.yaml` — Feature events (if analyzing engagement)
- `shared/gpu-cost-query-templates.md` — GPU cost queries (if analyzing infrastructure costs)
- `shared/gpu-cost-analysis-patterns.md` — Cost analysis patterns (if analyzing infrastructure costs)
3. **Identify enterprise users:**
- Use enterprise segmentation CTE from bq-schema.md (lines 441-461)
- Apply McCann split (McCann_NY vs McCann_Paris)
- Exclude Lightricks and Popular Pays
4. **Write monitoring SQL:**
- Query org-level usage metrics
- Set baseline for each org based on their historical usage (e.g., 30-day average, 90-day trend)
- Compare current usage against org-specific baseline or contracted quota
- Flag orgs below threshold or showing decline
- Flag meaningful drops for power users (users with top usage within each org)
5. **Present to user:**
- Show SQL query
- Show example alert format with org name and metrics
- Confirm threshold values and alert logic
6. **Set up alert** (manual for now):
- Document SQL
- Configure notification to customer success team
## Rules
- DO use EXACT enterprise segmentation CTE from bq-schema.md without modification
- DO apply McCann split (McCann_NY vs McCann_Paris)
- DO exclude Lightricks and Popular Pays from enterprise orgs
- DO break out pilot vs contracted accounts
- DO NOT alert on free/self-serve users — this agent is enterprise-only
- DO include org name in alert for easy customer success follow-up
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