# Awesome-AI-Engineering

> Use this tool when you need to architect and optimize large language models (LLMs) with advanced post-training techniques for domain adaptation. It solves problems related to model performance, data pipelines, and system design, providing a comprehensive playbook for full-stack LLM engineering. With inputs including model architectures and data pipelines, and outputs such as optimized model performance and evaluation frameworks, use Awesome-AI-Engineering in contexts where you need to improve LLM capabilities and efficiency.

Canonical page: https://skillsregistry.net/skills/eric-llms-awesome-ai-engineering  
JSON: https://api.skillsregistry.net/v1/skills/eric-llms-awesome-ai-engineering

## Description

The Full-Stack LLM Engineering Playbook. Architectural patterns for Agents (MCP) & RAG, coupled with advanced Post-Training recipes (SFT, DPO, QLoRA) for domain adaptation. Covers Data Pipelines, Evaluation Frameworks, and System Design.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** devops-ci
- **Updated:** 2026-05-12

## Source

- **Source listing:** [GitHub](https://github.com/Eric-LLMs/Awesome-AI-Engineering)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "eric-llms-awesome-ai-engineering"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/eric-llms-awesome-ai-engineering` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/eric-llms-awesome-ai-engineering/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt