⚡ AI Skills
AI-Powered Business Model Development
This project provides 23 specialized AI skills — structured methods that an AI assistant works through with you step by step. Each skill can be used individually or as part of the complete process .
What is an AI Skill?
An AI skill is a structured guide for an AI assistant . It contains a clear method description, an interview-style questionnaire, quality criteria, and defined output formats. The AI guides you through the process like an experienced consultant — asking targeted questions, challenging assumptions, and producing structured result documents.
Skills follow the open Agent Skills standard and work with compatible AI coding tools.
Process Overview
The complete process comprises 21 methods in 6 phases. Hover over individual steps to see the skill name:
All Skills in Detail
Click on a skill to see the example prompt, expected output, and estimated duration.
Establish Baseline
▶ Company Assessment
Captures company profile, role, offering, customers, market, competencies, and digital maturity.
▶ Business Idea Canvas
Structures the first business idea in a 6-field canvas: origin, data space role, target audience, offering, value creation, revenue sources.
Understand Customers
▶ Market Segmentation
Identifies customer segments, evaluates them against 6 criteria, sizes the market (TAM/SAM/SOM), and prioritizes 2-3 focus combinations.
▶ Stakeholder Matrix
Maps all stakeholders in a 2x2 matrix (influence vs. interest) and defines engagement strategies per quadrant.
▶ Persona Development
Creates detailed customer profiles with CORE (role, problems, goals) and ENVIRONMENT (daily tasks, barriers, triggers, emotions).
▶ Value Proposition Canvas (Customer Side)
Develops the customer side of the VPC: Jobs-to-be-Done (functional, emotional, social), Pains and Gains — categorized and prioritized.
▶ Match Matrix
Links Pains and Gains to solution levers, evaluates measurable benefit, and clusters into Essentials vs. Nice-to-Haves.
▶ Value Proposition Formula
Formulates the value proposition using a 6-component formula and the Promise-Deliver-Proof framework.
▶ Product/Service Idea
Defines the offering in a 4-part matrix: core components, differentiating features, customer benefits, strategic fit.
Design Value Creation
▶ Roles & Actors
Identifies all ecosystem actors, maps their roles (Data Provider, Service Provider, Orchestrator...) and clarifies own positioning.
▶ Value Network Analysis
Maps all exchange flows between actors: data, goods/services, finances, infrastructure, and governance.
▶ Value Creation Process
Designs the end-to-end process with phases, actor interactions, RACI matrix, and KPI measurement points.
▶ Ecosystem Synthesis
Evaluates feasibility: monetizable contributions, costs, governance maturity, risks, and Go/Review/Stop recommendation.
Validate Viability
▶ Value Sources & Willingness to Pay
Quantifies customer value in EUR/year, derives value formulas, and tests willingness to pay with evidence.
▶ Revenue Model & Pricing
Designs pricing basis, model type (Subscription/Pay-per-Use/Outcome/Hybrid), price components, and unit economics.
▶ Cost Structure Analysis
Maps cost structure: fixed/variable, one-time/recurring, partner costs, scalability, and controllability.
▶ Pricing Strategy & Targets
Defines pricing strategy, positioning, discount rules, KPI guardrails (ARPA, LTV/CAC), and go-to-market tests.
Consolidate Results
▶ Risk Heatmap
Identifies risks across 4 perspectives, evaluates probability and severity, visualizes in a color-coded heatmap.
▶ Action Plan & RACI
Translates risks into SMART measures per workstream with RACI assignment (exactly one responsible person per measure).
▶ 30/60/90-Day Roadmap
Assigns measures to time phases, clarifies dependencies, defines outcome-based KPIs, and resource needs.
▶ Executive Summary
Consolidates all results into a decision-ready one-pager with traceability from idea to next steps.
How to Use the Skills
Run the Complete Process
Simply describe your business idea — the AI recognizes the context and starts the orchestrator:
I want to develop a business model for a data-driven
predictive maintenance service.
Use a Single Method
Describe which method you need — the AI selects the appropriate skill:
Help me with a market segmentation for our IoT offering.
Technical Background
The skills use the open Agent Skills standard. Each skill is a Markdown file (SKILL.md) with metadata and structured instructions, stored under .claude/skills/ in the project directory.
---
name : skill - name
description : When and what the skill is used for
user-invocable : true
---
Further Resources