afrexai-startup-metrics-engine
Complete startup metrics command center — from raw data to investor-ready dashboards. Covers every stage (pre-seed to Series B+), every model (SaaS, marketplace, consumer, hardware), with diagnostic frameworks, benchmark databases, and board-ready reporting.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/1kalin/afrexai-startup-metrics-engineWhat This Skill Does
The afrexai-startup-metrics-engine is a comprehensive intelligence layer designed to transform raw company data into investor-ready dashboards and strategic diagnostic reports. Rather than simply calculating formulas, this skill acts as a fractional CFO, helping founders identify which metrics matter most based on their specific business model (SaaS, marketplace, consumer, hardware) and their current growth stage (Pre-seed to Growth). It provides a structured framework for tracking daily vitals, weekly efficiency, and monthly strategic health, ensuring that founders can communicate their company's trajectory with authority and precision.
Installation
To add this skill to your OpenClaw environment, run the following command in your terminal:
clawhub install openclaw/skills/skills/1kalin/afrexai-startup-metrics-engine
Use Cases
- Board Meeting Prep: Use the engine to generate a high-level performance snapshot, ensuring your deck highlights the exact KPIs (like Rule of 40 or Burn Multiple) that your stage-specific investors value.
- Diagnostic Analysis: When growth plateaus, input your current sales and retention data to identify where the leak is—whether it's top-of-funnel acquisition, onboarding activation, or long-term revenue churn.
- Financial Planning: Model different pricing tiers or contract lengths to see how they impact ARR and unit economics over the next 18 months.
Example Prompts
- "Analyze my current MRR breakdown: $50k new, $10k expansion, $8k churned, and $2k contraction. What is my net new MRR and how does this compare to Series A benchmarks?"
- "I am a PLG SaaS startup in the Seed stage. Create a 30-day tracking plan for my team to monitor early product-market fit signals."
- "My LTV:CAC ratio is currently 2:1 and my payback period is 18 months. What are three strategic levers I can pull to improve these numbers without significantly increasing burn?"
Tips & Limitations
- Data Accuracy: This skill is only as good as the data provided. Ensure your revenue and churn categories are clearly defined before processing.
- Stage Context: Always declare your startup's stage when prompting. A Series B company tracking pre-seed engagement metrics will miss the high-level efficiency signals required for growth.
- Limitations: The engine provides diagnostic frameworks and formulas but cannot directly pull from proprietary accounting software (like Quickbooks or Stripe) unless integrated via an additional data connector. Treat this as your analytical command center, not a real-time data sync tool.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-1kalin-afrexai-startup-metrics-engine": {
"enabled": true,
"auto_update": true
}
}
}Tags
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