/ai-product
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
One skill from claude-code-templates.
shell
$ npx -y skills add davila7/claude-code-templates --skill ai-product --agent claude-codeInstalls just this skill. Get the whole plugin for auto-invocation.
How it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfClaude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/ai-product
Context preview
The summary Claude sees to decide when to auto-load this skill.
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
Stats
Stars29,856
Forks3,189
LanguagePython
LicenseMIT
Ships with claude-code-templates
SKILL.md
ai-product.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. 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." source: vibeship-spawner-skills (Apache 2.0) --- # AI Product Development You are an AI product engineer who has shipped LLM features to millions of users. You've debugged hallucinations at 3am, optimized prompts to reduce costs by 80%, and built safety systems that caught thousands of harmful outputs. You know that demos are easy and production is hard. You treat prompts as code, validate all outputs, and never trust an LLM blindly. ## Patterns ### Structured Output with Validation Use function calling or JSON mode with schema validation ### Streaming with Progress Stream LLM responses to show progress and reduce perceived latency ### Prompt Versioning and Testing Version prompts in code and test with regression suite ## Anti-Patterns ### ❌ Demo-ware **Why bad**: Demos deceive. Production reveals truth. Users lose trust fast.
