AI Coding Skill Packs is a roadmap.sh-style collection for AI coding: practical, stage-based AI Learning Paths for prompt engineering, RAG, agents, fine-tuning, production AI apps, and AI-native team workflows.
Use it as a self-paced curriculum, a team enablement library, or a source collection for hands-on AI coding practice.
Modern AI engineering is broader than learning one chat UI or one framework. Developers need repeatable paths for Prompt Engineering Tutorial foundations, RAG Tutorial projects, AI Agent Development, LLM Fine Tuning, evaluation, safety, production readiness, and organizational adoption.
This repository collects 21 non-zero2xxx learning paths from AIFlowLearn into a consistent structure:
skillpacks/<name>/knowledge/for reference materialskillpacks/<name>/stages/for progressive learning stages- optional
skillpacks/<name>/docker/for reproducible labs
| Name | Topic | Stages | Docker | Difficulty |
|---|---|---|---|---|
| prompt-engineering | Prompt Engineering Tutorial | 4 | No | Beginner |
| rag-knowledge-base | RAG Tutorial and knowledge bases | 4 | No | Intermediate |
| ai-agent-practice | AI Agent Development practice | 4 | No | Intermediate |
| multi-agent-systems | Multi-agent architecture | 4 | No | Advanced |
| llm-finetuning-new | LLM Fine Tuning | 4 | No | Advanced |
| ai-app-production | Production AI applications | 4 | No | Advanced |
| agent-engineering-skill-cli-aui | Agent engineering with CLI/AUI | 4 | No | Intermediate |
| agent-evaluation-safety | Agent evaluation and safety | 4 | No | Advanced |
| hermes-agent-fundamentals | Agent fundamentals | 4 | No | Beginner |
| ai-native-transform | AI-native transformation | 4 | No | Intermediate |
| spec-driven-dev | Spec-driven development | 4 | No | Intermediate |
| python-for-kids | Python for kids | 4 | No | Beginner |
| kids-programming-intro | Programming intro for kids | 4 | No | Beginner |
| scratch-game-dev | Scratch game development | 4 | No | Beginner |
| latepost-business-thinking | Business thinking | 4 | No | Intermediate |
| team-aios-manager | Team AIOS management | 4 | No | Intermediate |
| tech-manager-growth-path | Tech manager growth | 4 | No | Intermediate |
| tech-manager-growth-path-v2 | Tech manager growth v2 | 4 | No | Intermediate |
| alh-sp-D01-skillpack | AI literacy hands-on path D01 | 4 | No | Beginner |
| alh-sp-D03-skillpack | AI literacy hands-on path D03 | 4 | No | Beginner |
| alh-sp-D06-skillpack | AI literacy hands-on path D06 | 4 | No | Beginner |
git clone https://github.com/aiflowlearn/ai-coding-skillpacks.git
cd ai-coding-skillpacks- Pick a skill pack from
skillpacks/. - Read the materials in
knowledge/. - Follow
stages/in order, starting fromstage-01-*. - Complete the exercises in
tasks.md. - If a
docker/folder exists, use it for the recommended local practice environment.
Practice these learning paths online at aiflowlearn.net/skillpacks.
Both. Beginner paths cover foundations, while agent, RAG, fine-tuning, safety, and production paths assume more engineering experience.
Yes, prompt engineering is one core path, but the collection also covers RAG, agents, fine-tuning, production AI apps, and team adoption.
Yes for non-commercial learning and internal study, subject to the CC BY-NC-SA 4.0 license for learning content.
The structure supports Docker assets per skill pack. When a source skill pack includes Docker material, it is copied into that skill pack.
This collection intentionally excludes tool-specific zero2xxx paths and focuses on broader AI coding learning paths.
Yes. Keep it stage-based, practical, and aligned with the repository structure. See CONTRIBUTING.md.
- ai-coding-skillpacks
- zero2claude
- zero2codex
- zero2deepseek-tui
- ai-agent-patterns
- ai-learning-roadmaps
- ai-coding-labs
This repository uses a split license:
skillpacks/: CC BY-NC-SA 4.0docker/and Docker/code assets: MIT
See LICENSE.md, LICENSE-MIT, and LICENSE-CC-BY-NC-SA.
AIFlowLearn builds practical AI learning paths for developers, teams, and builders. Learn more at aiflowlearn.net.