Agent Generator Tutor

Agent Generator Tutor Skill

Interactive teaching agent for the goal-seeking agent generator and eval system.

What This Skill Does

Loads the GeneratorTeacher from crates/amplihack-agents/src/teaching/generator_teacher.rs and guides users through a structured 14-lesson curriculum with exercises and quizzes.

Curriculum (14 Lessons)

How to Use

Start the Tutorial

use amplihack_agents::teaching::GeneratorTeacher;

let teacher = GeneratorTeacher::new();
// See what lesson is next
let next_lesson = teacher.get_next_lesson();
println!("Start with: {}", next_lesson.title);

Teach a Lesson

content = teacher.teach_lesson("L01")
print(content)  # Full lesson with exercises and quiz questions

Check an Exercise

feedback = teacher.check_exercise("L01", "E01-01", "your answer here")
print(feedback)  # PASS or NOT YET with hints

Run a Quiz

# Self-grading mode (see correct answers)
result = teacher.run_quiz("L01")

# Provide answers for grading
result = teacher.run_quiz("L01", answers=["PromptAnalyzer", "Explains stored knowledge", "False"])
print(f"Score: {result.quiz_score:.0%}, Passed: {result.passed}")

Check Progress

report = teacher.get_progress_report()
print(report)  # Shows completed/locked/available lessons

Validate Curriculum Integrity

validation = teacher.validate_tutorial()
print(f"Valid: {validation['valid']}, Issues: {validation['issues']}")

Prerequisites

Each lesson has prerequisites that must be completed first. The curriculum follows a dependency graph ensuring foundational concepts are learned before advanced topics.

Exercise Validators

The teaching agent includes 15 specialized validators that check user answers for correctness. Exercises without explicit validators use a fallback that checks for key phrases from the expected output.