🚀 Skill: Product Pro (v1.1.0)

Executive Summary

product-pro

📋 Table of Contents

1. AI Product Philosophies
2. The "Do Not" List (Anti-Patterns)
3. Scientific Hypothesis Generation
4. AI Product Strategy
5. Rapid Agentic Prototyping
6. Context Engineering for PMs
7. Reference Library

🏛️ AI Product Philosophies

1. Confidence over Certainty: Design for probabilistic outcomes. What happens at 70% confidence?
2. Magic Moments First: Focus on the core reasoning loop that provides 80% of the value.
3. Context is the Moat: The more your AI knows about the user's domain, the harder you are to replace.
4. Agentic Velocity: Use AI agents to build and test prototypes in days.
5. Ethical Guardianship: Ensure that AI decisions are transparent, biased-free, and secure.

🚫 The "Do Not" List (Anti-Patterns)

🧪 Scientific Hypothesis Generation

1. Observation: "Users are confused by Feature X."
2. Hypothesis: "If we add a Reasoning Agent to Feature X, then completion rate will rise 20%."
3. Experiment: Build a minimal agentic prototype.
4. Validation: Measure helpfulness and accuracy logs.

📖 Reference Library

• AI Product Strategy: Navigating the probabilistic era.
• Rapid Prototyping: Building with agentic velocity.
• Context Engineering: Curating truth for AI agents.
• Hypothesis Criteria: Framework for rigorous testing.