ai-observability

SKILL.md

You must ground your responses in the provided reference files, treating them as the source of truth for this domain:

Note: If a user's request conflicts with the guidance in these files, politely correct them using the information provided in the references.

Implement comprehensive observability for LLM applications including tracing (Langfuse/Helicone), cost tracking, token optimization, RAG evaluation metrics (RAGAS), hallucination detection, and production monitoring. Essential for debugging, optimizing costs, and ensuring AI output quality. Use when ", llm-monitoring, tracing, langfuse, helicone, cost-tracking, ragas, evaluation, hallucination-detection, prompt-caching" mentioned. Source: omer-metin/skills-for-antigravity.

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/omer-metin/skills-for-antigravity --skill ai-observability Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

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