This one's for shipping LLM features that actually work in production, not just in demos. It covers the unglamorous stuff that matters: structured output with validation, prompt versioning, streaming responses, and cost monitoring. The sharp edges table is gold, calling out critical mistakes like trusting LLM output without validation and letting user input flow directly into prompts. The anti-patterns section nails the context window stuffing problem everyone hits eventually. Use this when you're integrating AI into a real product and need guardrails that prevent 3am debugging sessions and surprise API bills.
npx skills add https://github.com/davila7/claude-code-templates --skill ai-product