AI Native Product Methodology — 80 executable skills across P0-P14 stages, covering needs discovery to aesthetic authority. From 8 books.
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gmaxxxie/ai-native-product-agent-skills
Skill Claude CodeCodex
A practical decision-making guide for narrowing an AI-native product toward a clear direction after several experiments. It organises experiment records, compares evidence, identifies signs of convergence, and produces a decision report.
gmaxxxie/ai-native-product-agent-skills
Skill Claude CodeCodex
A guide to shadow validation for AI products. Shadow validation runs a proposed system alongside the existing process, compares the results manually, records failure patterns, and produces evidence for review.
gmaxxxie/ai-native-product-agent-skills
Skill Claude CodeCodex
A general guide to building AI-native systems. It covers the system-building stage of the AI-native product method.
gmaxxxie/ai-native-product-agent-skills
Skill Claude CodeCodex
A practical guide to designing AI-native products, agents, and individual skills. An agent is a software system that can carry out tasks, while a skill is a focused capability it can use.
gmaxxxie/ai-native-product-agent-skills
Skill Claude CodeCodex
A practical guide to designing memory systems for AI-native products. Such a system controls what information an AI product keeps and can use later.
gmaxxxie/ai-native-product-agent-skills
Skill Claude CodeCodex
A guide to designing business models for AI-native products around a premium for more certain results. In this context, certainty means customers can rely more confidently on the AI output.
gmaxxxie/ai-native-product-agent-skills
Skill Claude CodeCodex
A practical guide to context engineering for AI-native products. Context engineering is the work of selecting and organizing the information an AI system receives for a task.
gmaxxxie/ai-native-product-agent-skills
Skill Claude CodeCodex
A calculator for estimating the extra value customers may place on more certain AI results. It uses a formula from the AI certainty business-model method.
gmaxxxie/ai-native-product-agent-skills
Skill Claude CodeCodex
A business-model design guide for selling verified information and judgments as a service. It is based on the idea that customers pay for confidence in the truth of each number.
gmaxxxie/ai-native-product-agent-skills
Skill Claude CodeCodex
A business-model design guide based on guaranteeing the results of an AI service. Under this model, the provider may compensate the customer or provide the service free when the result is wrong.
gmaxxxie/ai-native-product-agent-skills
Skill Claude CodeCodex
A guide to designing businesses around AI predictions that outperform human predictions in selected areas. Prediction arbitrage means turning a prediction advantage into commercial value.
gmaxxxie/ai-native-product-agent-skills
Skill Claude CodeCodex
A practical guide to RAG and knowledge-system design. RAG, or retrieval-augmented generation, lets an AI find relevant information from a knowledge source before producing an answer.
gmaxxxie/ai-native-product-agent-skills
Skill Claude CodeCodex
A strategy guide for building marketing and growth systems around AI. It applies a method for connecting product use, customer behaviour, and growth decisions.
gmaxxxie/ai-native-product-agent-skills
Skill Claude CodeCodex
A guide to designing a data flywheel, where product use creates data, data improves a model, and the improved product attracts more use. It helps teams examine whether this cycle can strengthen over time.
gmaxxxie/ai-native-product-agent-skills
Skill Claude CodeCodex
A marketing design guide for predicting what an individual user may need before they ask for it. It moves beyond targeting broad audience groups.
gmaxxxie/ai-native-product-agent-skills
Skill Claude CodeCodex
A retention design guide for identifying when users may be likely to leave and responding before they do. Retention means keeping users active over time.
gmaxxxie/ai-native-product-agent-skills
Skill Claude CodeCodex
A guide for turning marketing activities into product features that users encounter during normal use. It treats marketing as part of the product experience.
gmaxxxie/ai-native-product-agent-skills
Skill Claude CodeCodex
A guide to designing a customer loop for an AI product: choosing early customers, setting co-creation boundaries, collecting feedback, improving the product, and expanding to more customers. Co-creation means developing the product with selected customers.
gmaxxxie/ai-native-product-agent-skills
Skill Claude CodeCodex
A practical guide to designing user experiences for AI-native products. It focuses on how people interact with products whose behaviour depends on AI.
gmaxxxie/ai-native-product-agent-skills
Skill Claude CodeCodex
A risk-assessment guide for AI products using the RAX framework: risk, ambiguity, and exposure. It helps teams examine how an AI experience could affect users.
gmaxxxie/ai-native-product-agent-skills
Skill Claude CodeCodex
A framework for designing levels of trust in an AI product. It helps users build confidence gradually as they use the product.
gmaxxxie/ai-native-product-agent-skills
Skill Claude CodeCodex
A checklist for gradually revealing an AI product’s features and capabilities instead of showing everything at once.
gmaxxxie/ai-native-product-agent-skills
Skill Claude CodeCodex
A practical method for auditing and approving an AI-native product before release.
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