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Ai production architecture

Skill ebarti/skills/ai-production-architecture

📚 Agent skills distilled from technical books — AI Engineering, Context Engineering, Designing Data-Intensive Applications, and more. Agent-agnostic, plain Markdown. Give your AI agent a bookshelf.

Install
npx -y skills add ebarti/skills --skill ai-production-architecture

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Practical knowledge for architecting and operating AI applications in production. Covers the AI engineering architecture (context enhancement, guardrails, model router, gateway, caching, agent patterns), monitoring and observability (metrics, logs, traces, drift detection), pipeline orchestration, and user feedback systems (extracting conversational feedback, feedback design, biases, degenerate loops). Use this skill when: - Designing the architecture for a production AI application - Adding input/output guardrails - Setting up model routing or a gateway - Implementing caching (exact, semantic) - Building observability for an AI system - Designing user feedback collection

SKILL.md

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AI Production Architecture

Knowledge from "AI Engineering" by Chip Huyen (Chapter 10). End-to-end production patterns for AI applications.

Quick Start

  1. Check guidelines.md to find which files to load for your task
  2. Load only relevant files (each topic has knowledge.md, rules.md, examples.md)
  3. Apply guidance to your work

Contents

References

CategoryPurpose
architecture-patternsStep-by-step architecture (context, guardrails, router/gateway, caching, agents)
monitoring-observabilityMetrics, logs/traces, drift detection, pipeline orchestration
user-feedbackExtracting conversational feedback, feedback design, biases, degenerate loops

Workflows

TaskWorkflow
Build production AI architecture (5-step process)workflows/build-production-architecture.md
Set up observability (metrics, logs, traces, drift)workflows/setup-observability.md

Guidelines

See guidelines.md for task-based file selection.

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Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.