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ai-product

@sickn33/antigravity-awesome-skills
617
19

Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production. 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. Use when: keywords, file_patterns, code_patterns.

Install Skill

Shared

Installs to .agents/skills, used by Codex, Amp, Warp, Cursor, OpenCode, and more.

CodexAmp
WarpCursorOpenCode
ClineGemini CLI
GitHub Copilot
Personal

Available across projects.

$npx skills-installer add @sickn33/antigravity-awesome-skills/ai-product --client shared
Project

Writes to .agents/skills.

$npx skills-installer add @sickn33/antigravity-awesome-skills/ai-product -p --client shared
Note: Review the skill instructions before using it.

SKILL.md

name ai-product
description Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production.
risk safe
source vibeship-spawner-skills (Apache 2.0)
date_added Fri Feb 27 2026 00:00:00 GMT+0000 (Coordinated Universal Time)

AI Product Development

Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production.

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.