adaptive-teacher

Calibrate learner levels and deliver reverse-prompted instruction with self-contained HTML artifacts.

8|Updated Mar 8, 2026
One-click install
npx skills add https://github.com/SufficientDaikon/archon --skill adaptive-teacher
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: adaptive-teacher
Source: https://github.com/SufficientDaikon/archon/tree/main/skills/adaptive-teacher
Command: npx skills add https://github.com/SufficientDaikon/archon --skill adaptive-teacher

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

The Adaptive AI teacher addresses the need for personalized, calibrated instruction that matches a learner's level, providing guided prompts, artifact-based learning, and multilingual support to accelerate understanding.

Core Features & Use Cases

  • Adaptive calibration across 5 levels with reverse prompting-driven teaching
  • Interactive artifact generation (self-contained HTML courses/quizzes)
  • Egyptian Arabic translation support for inclusive education
  • Phase-based pedagogy: CAMP framework, Socratic deepening, spaced reinforcement

Quick Start

Initiate a calibration session to determine the learner's level, then begin a personalized teaching path using reverse prompting and adaptive artifacts.

Frequently Asked Questions about adaptive-teacher

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How does adaptive tutoring calibrate to a learner's specific level?

Adaptive tutoring calibrates to a learner's level through an initial calibration session that assesses proficiency across 5 levels, then delivers personalized instruction using reverse prompting and the CAMP pedagogical framework.

What is reverse prompting in AI tutoring and how does it help learning?

Reverse prompting in AI tutoring is a technique where the system prompts the learner to articulate concepts, utilizing Socratic deepening and spaced reinforcement to accelerate understanding through active recall rather than passive listening.

Can I generate interactive HTML learning artifacts like quizzes during a tutoring session?

Yes, you can generate interactive HTML learning artifacts. The adaptive tutor creates self-contained HTML courses and quizzes as artifact-assisted learning materials when warranted during the instructional phases.

Does adaptive AI tutoring support Egyptian Arabic for multilingual instruction?

Yes, adaptive AI tutoring supports Egyptian Arabic translation for inclusive education, allowing multilingual content delivery and calibrated instruction specifically tailored for Egyptian Arabic speakers.

What is the best way to start a personalized learning path with an AI tutor?

The best way to start a personalized learning path is to initiate a calibration session to determine your level, then begin the tailored teaching sequence using reverse prompting and adaptive artifacts.

Are there limitations to using artifact-assisted learning for complex technical subjects?

Artifact-assisted learning generates self-contained HTML artifacts, which may limit complex interactive simulations requiring external dependencies, though the Socratic deepening and spaced reinforcement techniques compensate by ensuring conceptual mastery.