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home/pathways/ai-skills
BeginnerLearning Pathway

AI Skills

Discover, install, and publish agent skills — the reusable capability layer that makes AI agents infinitely extensible and your team's AI workflows reproducible and scalable.

12articles
~3htotal
Beginner
Start Pathway →All Pathways

What you'll learn

  • What agent skills are and how they differ from prompts and hooks
  • Build your first agent skill: SKILL.md format, triggers, testing, publishing
  • When to use skills vs hooks vs prompts — the decision guide
  • Agent markdown files: SKILL.md, AGENT.md, CLAUDE.md — what each does
  • How to discover, install, and contribute to skill registries
  • How to monetize skills and build revenue from the registry

Frequently asked questions

What are agent skills and how do they differ from prompts?+

Agent skills are reusable, versioned capability packages for AI coding agents — like Claude Code. A skill is a SKILL.md file that teaches the agent a specific procedure: how to run a deployment, how to generate a database migration, how to review a PR. Unlike prompts (which you write fresh each time), skills are stored, versioned, and installable in one command. They're closer to software packages than prompts.

Can I monetize skills I build?+

Yes. The explainx.ai skill registry allows developers to publish skills and earn revenue when others install them. One of the articles in this pathway covers the mechanics of skill monetization. The pathway also covers how companies are building internal skill libraries as a competitive advantage.

How long does the AI Skills pathway take?+

12 articles, approximately 3 hours. Skills are a practical topic — many of the articles include hands-on steps you can follow in parallel with reading.

Continue learning

AI Foundations

B

Understand what AI actually is — tokens, transformers, agents, and the landscape. Start here if you're new.

11 articles · ~4h →

Prompt Engineering

B

Go from vague requests to precise, reproducible AI outputs. The skill that underpins everything.

13 articles · ~5h →

Claude Code Mastery

I

Go from zero to productive with Claude Code — the terminal AI coding agent that ships real projects.

15 articles · ~7h →

Curriculum — 12 articles

01

What Are Agent Skills?

Procedural memory for AI coding agents — the complete guide.

8m→
02

Build Your First Agent Skill: Step-by-Step

SKILL.md format, trigger conditions, testing, and publishing — hands-on.

14m→
03

Skills vs Hooks vs Prompts: When to Use Each

The decision guide for Claude Code's three customization primitives.

12m→
04

Agent Markdown Files: SKILL.md, AGENT.md, CLAUDE.md

The files that give agents persistent identity and skills.

10m→
05

Top 10 AI Agent Skills Directories in 2026

Evaluate, install, and contribute to skill registries — with security guidance.

14m→
06

Steering Claude Code: CLAUDE.md, Skills, Hooks, Subagents, Rules

Advanced patterns for controlling Claude Code with skills.

12m→
07

skills.lock.json: Reproducible Agent Skills

Pin your skill versions for deterministic, team-safe setups.

6m→
08

Karpathy's Claude Code Guidelines and Skills Approach

How Andrej Karpathy structures AI skills for coding agents.

8m→
09

Matt Pocock: Agent Skills for Real Engineers

A TypeScript expert's take on building skills that hold up.

8m→
10

Hiten Shah: AI Skill Library as Company Strategy

Why building a skill library is a defensible business move.

8m→
11

Microsoft SkillOpt: Self-Improving Agent Skills

Microsoft's research on agents that optimize their own skills.

8m→
12

How to Monetize AI Skills

Publish to the registry and earn recurring revenue from your skills.

8m→

Start learning

AI Skills

Articles12
Time commitment~3h
LevelBeginner
AccessFree
Start Pathway →

Free account. No credit card needed.

Who this is for

  • →Developers building reusable AI capabilities for their team or the community
  • →Engineers using Claude Code who want to create and share standardized workflows
  • →Teams building an internal skill library as a competitive advantage
  • →Open-source contributors to the AI agent ecosystem

After this pathway

Publish your first agent skill to the registry and understand how to build, version, and distribute reusable AI capabilities at team and community scale.

Building AI Agents

I

Understand and build the loops, harnesses, and protocols that make AI agents reliable and autonomous.

16 articles · ~6h →

AI Tools by Role

B

Practical AI adoption for your specific function — marketing, engineering, HR, finance, and more.

10 articles · ~4h →

AI Model Landscape

I

Navigate the crowded model market — Claude, GPT, Gemini, open-source — and understand the tradeoffs.

13 articles · ~6h →