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AI Product Engineering Toolkit

A comprehensive skill library for building, analyzing, and launching AI-powered SaaS products. This toolkit covers the full product lifecycle — from reverse-engineering competitors to launching viral growth loops.

Skill Map

skills/
├── foundation/          # Core mental models every builder needs
├── analysis/            # Dissect existing products and markets
├── architecture/        # Design scalable, production-ready systems
├── execution/           # Build fast — clone, rebuild, ship
├── startup/             # Discover opportunities and generate ideas
├── strategy/            # Design defensible, long-lasting products
└── growth/              # Engineer virality and compounding loops

Skill Index

🧱 Foundation

Skill Purpose
engineering-principles Core principles for building reliable AI products
system-thinking Model complex systems and second-order effects
problem-solving-framework Structured approaches to ambiguous problems

🔍 Analysis

Skill Purpose
system-reverse-engineering Deconstruct how any product works under the hood
saas-feature-extraction Extract and catalog features from SaaS products
competitor-analysis Deep-dive competitive landscapes
pain-point-mining Uncover real user pain from signals and feedback

🏗 Architecture

Skill Purpose
saas-architecture-patterns Battle-tested SaaS architecture blueprints
api-design-patterns Design clean, scalable APIs
database-schema-inference Infer and design data models from product behavior

⚡ Execution

Skill Purpose
blackbox-app-cloning Clone any app from user-facing behavior alone
rapid-product-rebuild Ship a working version in days, not months
ai-agent-builder Design and implement AI agent architectures

🚀 Startup

Skill Purpose
micro-saas-finder Find underserved niches for micro-SaaS products
startup-idea-generator Generate, score, and validate startup ideas

🛡 Strategy

Skill Purpose
product-moat-design Build defensible competitive advantages
ai-wrapper-detection Identify thin vs. deep AI product integrations

📈 Growth

Skill Purpose
viral-feature-design Design features that spread organically
growth-loop-engine Engineer compounding acquisition and retention loops

Usage

Start with the Router

skills/ROUTER.md is the master entry point. Read it first — it maps any user prompt to the right skill(s) via a decision tree, quick routing table, and power combos for multi-skill tasks.

Loading Skills

Each skill lives in its own SKILL.md. Read the router → identify the relevant skill(s) → load those files before responding. Skills are composable — the router lists common multi-skill combinations for complex tasks.

Category READMEs

Each category folder contains a README.md summarising the skills inside, when to use each, and useful combos. Skim these for orientation before diving into individual skills.

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AI Product Engineer Toolkit

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