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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.
Passed 13 of 20 test cases with the skill, and 4 of 20 without it.
and 18 more in the full report
13 fixed2 passed either way6 still failing3 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are running the learn-agent-skills skill in a custom compatible host interface that is neither Codex nor Claude Code. What exact start or resume phrase should be provided to the user?
| Checked | Without skill | With skill |
|---|---|---|
| The starter phrase specifies: Use learn-agent-skills to start or resume the Agent Skills Engineering path. | Missed | Passed |
The instructions your model reads when the skill loads.
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.
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. |
The route source of truth is learning-paths/agent-skills.json. Prefer local
files when this repository is cloned. Otherwise fetch each file from:
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.
test cases passed, vs 4 / 20 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.