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.
What Are Agent Skills?
Procedural memory for AI coding agents — the complete guide.
Build Your First Agent Skill: Step-by-Step
SKILL.md format, trigger conditions, testing, and publishing — hands-on.
Skills vs Hooks vs Prompts: When to Use Each
The decision guide for Claude Code's three customization primitives.
Agent Markdown Files: SKILL.md, AGENT.md, CLAUDE.md
The files that give agents persistent identity and skills.
Top 10 AI Agent Skills Directories in 2026
Evaluate, install, and contribute to skill registries — with security guidance.
Steering Claude Code: CLAUDE.md, Skills, Hooks, Subagents, Rules
Advanced patterns for controlling Claude Code with skills.
skills.lock.json: Reproducible Agent Skills
Pin your skill versions for deterministic, team-safe setups.
Karpathy's Claude Code Guidelines and Skills Approach
How Andrej Karpathy structures AI skills for coding agents.
Matt Pocock: Agent Skills for Real Engineers
A TypeScript expert's take on building skills that hold up.
Hiten Shah: AI Skill Library as Company Strategy
Why building a skill library is a defensible business move.
Microsoft SkillOpt: Self-Improving Agent Skills
Microsoft's research on agents that optimize their own skills.
How to Monetize AI Skills
Publish to the registry and earn recurring revenue from your skills.
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.
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.
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.
Understand what AI actually is — tokens, transformers, agents, and the landscape. Start here if you're new.
10 articles · ~4h →Go from vague requests to precise, reproducible AI outputs. The skill that underpins everything.
11 articles · ~5h →Go from zero to productive with Claude Code — the terminal AI coding agent that ships real projects.
13 articles · ~7h →Understand and build the loops, harnesses, and protocols that make AI agents reliable and autonomous.
11 articles · ~6h →Practical AI adoption for your specific function — marketing, engineering, HR, finance, and more.
10 articles · ~4h →Navigate the crowded model market — Claude, GPT, Gemini, open-source — and understand the tradeoffs.
10 articles · ~6h →
