Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Projects revenue for OpenClaw sub-agent monetization strategies including API sales, marketplace listings, white-label, and affiliates. Takes users, pricing, conversion rate, churn, and compute costs as inputs and outputs monthly and annual projections with sensitivity analysis.
Covers four distinct monetization models with built-in sensitivity analysis in one workflow, eliminating the need to build separate spreadsheets for each strategy.
When to use it
- Estimating annual revenue for a new marketplace skill
- Comparing subscription vs per-task pricing models
- Finding break-even point before launching an agent
- Running low/medium/high scenario analysis on churn rate
- Setting pricing tiers for a white-label AI product
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Calculate revenue for 100 users at $10/month with 80% conversion, 10% churn, and 20% compute costs using marketplace strategy
- 1Collect inputs: 100 users/mo, $10/mo price, 80% conversion, 10% churn, 20% compute costs
- 2Select strategy 2 (Marketplace)
- 3Execute scripts/revenue-calc.py with input parameters to compute monthly and annual figures
- 4Generate sensitivity table testing +/-20% user count scenarios
- 5Format results using assets/report-template.md with next-step recommendations
Monthly revenue $800, annual net $8,640, with low/medium/high scenario breakdown and suggested next steps