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Skill

/ai-product

Design and evaluate LLM product features, retrieval, validated outputs, latency, and cost controls.

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agentic-awesome-skills
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Claude Code

$ npx -y skills add sickn33/agentic-awesome-skills --skill ai-product --agent claude-code

SKILL.md

ai-product.SKILL.md
name: ai-product
description: "Design and evaluate LLM product features, retrieval, validated outputs, latency, and cost controls."
risk: safe
source: vibeship-spawner-skills (Apache 2.0)
date_added: 2026-02-27

AI 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](references/detailed-guide.md) 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.
Read it on GitHub ↗
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Questions about ai-product.

Which coding agents can use ai-product?
ai-product installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.