About ai-product
ai-product is a skill for product work involving LLM integration, RAG architecture, scalable prompt engineering, trusted AI UX, and cost optimization. It recommends using AI only when evaluation shows an improvement over a baseline, and requires task-specific validation.
Key features
- 01LLM integration patterns
- 02RAG architecture guidance
- 03Scalable prompt engineering
- 04Trust-focused AI UX
- 05AI cost optimization
Use cases
- 01Evaluating whether AI improves a product task
- 02Planning an LLM feature
- 03Designing a RAG system
- 04Reducing AI feature costs
Install
Copy the command and run it in a terminal.
npx skills add https:/After installing, type/ai-productin Claude Code to confirm it loaded.
Bundled filesreferences/detailed-guide.md
Details
From the project READMEAI Product Development
Choose AI only when it improves the target user task against an evaluated baseline.
This skill covers LLM integration patterns, RAG architecture, prompt engineering that scales, AI UX that users trust, and cost optimization that doesn't bankrupt you.
Detailed Guide
Read the detailed guide before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.
When to Use
Use this skill when the request clearly matches the capabilities and patterns described above.
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.