Ai product patterns
Skill newmindsgroup/ai-agent-skills-library/dist/skills/ai-product-patterns
Builds AI-native products using OpenAI's development philosophy and modern AI UX patterns. Use when integrating AI features, designing for model improvements, implementing evals as product specs, or creating AI-first experiences. Based on Kevin Weil (OpenAI CPO) on building for future models, hybrid approaches, and cost optimization.From its SKILL.md
npx -y skills add newmindsgroup/ai-agent-skills-library --skill ai-product-patternsAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its file declares
Copied from the file, not written here
The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
2.9 KB, 500 tokens by cl100k_base, as published. Nobody here has run it
AI-Native Product Building
Builds AI-native products using OpenAI's development philosophy and modern AI UX patterns. Use when integrating AI features, designing for model improvements, implementing evals as product specs, or creating AI-first experiences. Based on Kevin Weil (OpenAI CPO) on building for future models, hybrid approaches, and cost optimization.
When to Use
- The request matches the skill description: Builds AI-native products using OpenAI's development philosophy and modern AI UX patterns. Use when integrating AI features, designing for model improvements, implementing evals as product specs, or creating AI-first experiences. Based on Kevin Weil (OpenAI CPO) on building for future models, hybrid approaches, and cost optimization.
- The task needs the implementation patterns, examples, validation checks, or edge cases listed in the topic map.
- The work would benefit from the complete guidance preserved in
references/full-guidance.md.
Core Workflow
- Confirm the request matches this skill's trigger, scope, and risk profile.
- Use the topic map to identify the relevant pattern, checklist, or example before writing detailed guidance or code.
- Load
references/full-guidance.mdwhen implementation details, examples, anti-patterns, validation checks, or edge cases are needed. - Apply only the relevant guidance instead of loading or repeating the entire reference by default.
- Verify the result against any validation checks, limitations, security notes, or platform constraints in the reference.
Topic Map
- When This Skill Activates
- Core Frameworks
- Build for Future Models (Source: Kevin Weil, CPO of OpenAI)
- Evals as Product Specs (Source: Kevin Weil, OpenAI)
- Hybrid Approaches (Source: Kevin Weil)
- AI UX Patterns
- Decision Tree: When to Use AI
- Action Templates
- Template 1: AI Feature Spec with Evals
- What It Does
- Evals (Product Spec)
- Success Cases
- Quality Bar
- Hybrid Approach
- Model Improvement Plan
- Template 2: AI Cost Optimization
- Cost Structure
- Optimization Strategies
Reference Map
references/full-guidance.mdpreserves the complete original guidance, including examples and detailed edge cases.
Progressive Loading
Keep this SKILL.md as the compact routing and workflow entrypoint. Load the reference file only when the user task requires the deeper implementation material.
What ships with it: 1 file
13.1 KB alongside SKILL.md
references/
- full-guidance.md13.1 KB