Revenue Engine

---
name: revenue-engine
description: Use when manage revenue pipelines, track Stripe/analytics metrics, and
  automate financial reporting for SaaS businesses. Use when building revenue infrastructure.
domain: core
license: Apache-2.0
tags:
- engine
- infrastructure
- memory
- pipeline
- revenue
- self-improvement
- money
- analytics
version: 2.0.0
author: oyi77
subdomain: ''
type: core
category: core
---

# Money-Making Overview

This engine is the financial nervous system of your business. Without it, you leak 5-15% of revenue through forgotten invoices, missed renewals, and untracked metrics. With it, you capture every dollar and know exactly where to focus to grow.



## Dependencies

- Python 3.8+ or Node.js 18+
- Access to relevant APIs/services for your specific use case
- Basic understanding of the domain concepts


## Commands

```bash
# Refer to the skill's usage section for specific commands
# Adapt these to your workflow
```
## Revenue Streams
1. **Your Own Revenue Ops** — tracking prevents leakage
2. **Revenue Dashboard Service ($2K-5K/setup)** — build for clients
3. **CFO-as-a-Service ($1K-3K/mo)** — ongoing financial monitoring

## First Action in 60 Minutes
```bash
#!/usr/bin/env bash
# Revenue engine health check
mkdir -p ~/revenue-engine/{metrics,reports,alerts}

echo "=== Revenue Health Check ==="
echo "MRR: $(curl -s https://api.stripe.com/v1/subscriptions --header "Authorization: Bearer $STRIPE_KEY" 2>/dev/null | python3 -c "import json,sys; d=json.load(sys.stdin); print(sum(int(i['plan']['amount']) for i in d['data'])/100)" 2>/dev/null || echo 'Set \$STRIPE_KEY')"
echo ""
echo "Metrics to track this week:"
echo "  - MRR growth rate"
echo "  - Churn rate (exits / total)"
echo "  - LTV (avg revenue × avg months retained)"
echo "  - CAC (total sales cost / new customers)"
echo "  - Quick Ratio (new MRR + expansion MRR) / churned MRR"
```

## Revenue Pipeline Architecture

Revenue Engine is a foundational core infrastructure skill that provides system foundation capabilities for the agent ecosystem.

- **Input layer** — Receives and validates incoming requests
- **Processing layer** — Core logic for system foundation
- **Output layer** — Formats and delivers results
- **State management** — Maintains context across invocations

## Revenue Configuration & Integration

**Trigger phrases:**
- "revenue engine"
- "Manage revenue pipelines, track Stripe/analytics metrics, and automate financial"

Set up required environment variables and paths, configure logging level and output format, define resource limits (memory, time, API calls), enable/disable features via configuration flags.

- Exposes standard interfaces for other skills to consume
- Supports event-driven and request-response patterns
- Compatible with the 1ai-skills hook system
- Logs metrics for the skill performance monitor

## Revenue Intelligence & Model Routing

Different revenue tasks need different models. Route intelligently:

```python
# Example: Model routing
ROUTES = {
    "code": ["claude-sonnet-4-20250514", "gpt-4o"],
    "vision": ["gemini-2.5-pro", "gpt-4o"],
    "fast": ["gemini-2.5-flash", "gpt-4o-mini"],
}

def route_request(task: str, prompt: str):
    models = ROUTES.get(task, ROUTES["fast"])
    for model in models:
        try:
            return call_model(model, prompt)
        except Exception:
            continue
    raise RuntimeError("All models failed")
```

## When to Deploy Revenue Engine

- When the task falls within this skill's domain expertise
- When automated execution saves time over manual work
- When the skill's tools and integrations are available

## When NOT to Deploy

- When the task can be solved with existing standard libraries
- When the infrastructure is already in place and working
- When the added complexity does not provide measurable benefit

## Revenue Verification Protocol

1. **Prepare** — Gather requirements, verify prerequisites, set up environment
2. **Execute** — Run revenue engine workflow with configured parameters
3. **Verify** — Validate output meets requirements, document results

### Verification Checklist
- [ ] All steps executed successfully
- [ ] Results validated against acceptance criteria
- [ ] Error handling tested with edge cases
- [ ] Documentation updated with findings

## Anti-Rationalization Table

| Excuse | Truth |
|---|---|
| "I'll track revenue manually" | Manual tracking misses 10%+ of revenue |
| "I don't have enough revenue yet" | Start tracking at $0; patterns emerge early |
| "Stripe dashboard is enough" | Dashboards don't alert you to problems |

## Output Format

On completion: "MRR: $[N], Churn: [N]%, LTV: $[N], CAC: $[N], Quick Ratio: [N], Revenue Health: [GREEN/YELLOW/RED]"


## When to Use
Use this skill when working with revenue engine.


## Workflow
See the parent skill for authoritative workflow documentation.