# Agent Skills Tutor

Teaches one lesson at a time on creating, securing and testing Agent Skills.

- Repository: https://github.com/rohitg00/ai-engineering-from-scratch (76237 stars)
- Category: AI and agents
- License: MIT
- Last updated: 2026-10-29
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add rohitg00/ai-engineering-from-scratch --skill learn-agent-skills -g -a claude-code -y`
Codex: `npx skills add rohitg00/ai-engineering-from-scratch --skill learn-agent-skills -g -a codex -y`
Cursor: `npx skills add rohitg00/ai-engineering-from-scratch --skill learn-agent-skills -g -a cursor -y`
Gemini CLI: `npx skills add rohitg00/ai-engineering-from-scratch --skill learn-agent-skills -g -a gemini-cli -y`

## Description

Focused interactive tutor for the Agent Skills Engineering path in AI Engineering from Scratch. Start or resume this route when a learner wants to create, discover, invoke, secure, evaluate, package, or port Agent Skills. Teaches one lesson per invocation and records evidence in AGENT-SKILLS-LEARNING.md.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Learn Agent Skills

Teach the focused Agent Skills route. One invocation covers one lesson. The
learner should create files, run the lab, explain the boundary, and leave one
observable checkpoint before the lesson is marked complete.

## Invocation belongs to the host

The portable skill name is `learn-agent-skills`. Do not teach one command
syntax as universal.

| Host | Start or resume |
|---|---|
| Codex | `learn-agent-skills`, or choose it from `/skills` |
| Claude Code | `/learn-agent-skills` |
| Other compatible hosts | `Use learn-agent-skills to start or resume the Agent Skills Engineering path.` |

## Sources

The route source of truth is `learning-paths/agent-skills.json`. Prefer local
files when this repository is cloned. Otherwise fetch each file from:

```text
https://raw.githubusercontent.com/rohitg00/ai-engineering-from-scratch/main/<path>
```

Read the manifest before choosing a lesson. Follow `lessons` by `order`; do
not use the numeric Phase 13 sequence. The required path is 22, 24, 25, 26,
27. Lesson 23 is optional and follows the manifest's entry rule.

For each selected lesson, read its `docs/en.md` and `quiz.json`. Read or run
files under `code/` and `outputs/` only when the current lab needs them. A
clone is optional for reading. If a runnable lab needs repository files and
they are unavailable, explain that fact and offer a clone into a directory
the learner chooses. Do not block the conceptual lesson on cloning, but do not
record a repository command or real-host checkpoint as complete without the
required files and runtime.

## Real-lab preflight

Before Lesson 22's host checkpoint, establish all of these facts:

1. `node --version`, `npx --version`, and `python3 --version` succeed.
2. The learner has selected one skill-capable host.
3. The learner has selected a writable project or user install scope.
4. The learner understands which working directory will become `TARGET_ROOT`.

The rest: https://github.com/rohitg00/ai-engineering-from-scratch/blob/HEAD/.claude/skills/learn-agent-skills/SKILL.md