scenario-advisor

Recommend licensing scenarios for app types based on codebase and tech stack analysis.

2|Updated Apr 11, 2026
One-click install
npx skills add https://github.com/Sidub-Inc/Monaiq.AI.Plugin --skill scenario-advisor
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scenario-advisor
Source: https://github.com/Sidub-Inc/Monaiq.AI.Plugin/tree/main/skills/scenario-advisor
Command: npx skills add https://github.com/Sidub-Inc/Monaiq.AI.Plugin --skill scenario-advisor

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps in recommending the most suitable licensing scenarios for different app types, streamlining the pricing design process.

Core Features & Use Cases

  • Licensing Scenario Recommendations: Suggests licensing models like subscription, trial, perpetual, freemium, tiered, or usage-based scenarios.
  • App Type Inference: Automatically infers the app type (e.g., SaaS, desktop, plugin) based on the codebase and tech stack.
  • Use Case: For a SaaS application, it could recommend a freemium model with usage limits, tailored to the app's capabilities and user needs.

Quick Start

Invoke the scenario-advisor skill with the argument 'appType=saas' to get licensing recommendations for a SaaS application.

Frequently Asked Questions about scenario-advisor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I choose the right licensing model for my SaaS application?

Licensing scenario recommendations for SaaS applications are determined by analyzing your codebase features and technology stack to infer the app type, then matching capabilities to suitable scenarios like subscription, freemium, or usage-based pricing.

What is the best way to design pricing scenarios for different app types?

Designing pricing scenarios for different app types requires analyzing capability evidence and scenario patterns from the codebase to recommend models like subscription, perpetual, freemium, tiered, or usage-based licensing tailored to the application.

Can I automatically infer my app type from the codebase for pricing design?

Yes, you can automatically infer app types like SaaS, desktop, or plugin from the codebase and tech stack, which is then used to recommend appropriate licensing scenarios and optimize the pricing design workflow.

Does the licensing scenario recommendation work with Monaiq workflows?

Yes, licensing scenario recommendation works with Monaiq workflows by utilizing Monaiq's context and workflow protocols to apply scenario patterns to your application's capability evidence for pricing design.

What licensing scenarios are recommended for desktop or plugin apps?

Recommended licensing scenarios for desktop or plugin apps include perpetual, tiered, or trial models, determined by analyzing the codebase features and technology stack to match the specific capabilities and user needs.