Sensei

Guide learners through Socratic questioning and adaptive scaffolding with session reports.

1|Updated Apr 2, 2026
One-click install
npx skills add https://github.com/mec07/claude_skills --skill sensei-mec07
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Sensei
Source: https://github.com/mec07/claude_skills/tree/main/stow/Sensei
Command: npx skills add https://github.com/mec07/claude_skills --skill sensei-mec07

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Sensei provides guided learning interactions that transform the AI from a doer to a mentor, helping developers acquire knowledge more effectively.

Core Features & Use Cases

  • Adaptive scaffolding with five levels (Observer to Full Scaffold) to tailor guidance.
  • Socratic questioning and memory-based knowledge-gap reviews to promote self-discovery.
  • Session end reporting and knowledge-gap tracking that integrates with project memory and TELOS when available.
  • Sub-skills such as Sensei:Scaffolding and Sensei:Report to organize focused learning journeys.

Quick Start

Enable Sensei mode with /sensei to start a guided mentorship session.

Frequently Asked Questions about Sensei

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

FAQPage Schema
How do I use Socratic questioning to guide developers through a coding session instead of just giving answers?

Use Socratic questioning to guide coding sessions by enabling a mentoring mode that uses adaptive scaffolding to prompt self-discovery, rather than directly outputting the code solution.

What is adaptive scaffolding and how does it help with software engineering mentoring?

Adaptive scaffolding is a guided learning technique with five levels, from Observer to Full Scaffold, that tailors mentoring interactions to help developers discover solutions and acquire knowledge effectively.

Can I track knowledge gaps discovered during design reviews and coding sessions?

Yes, you can track knowledge gaps during design reviews and coding sessions, utilizing memory-based reviews to monitor learning progress and generate session end reports for continuous coaching.

Does this guided learning approach work with project memory and TELOS?

Yes, the guided learning approach integrates with project memory and TELOS when available, ensuring that knowledge-gap tracking and session reports are synced with your existing engineering environment.

What is the best way to start a Socratic mentoring session for knowledge-gap coaching?

The best way to start Socratic mentoring is to trigger the guided learning mode, which instantly transforms the AI from a doer into a mentor, enabling focused knowledge-gap coaching journeys.

When should I avoid using AI mentoring in my development workflow?

You should avoid AI mentoring when you need immediate code generation rather than knowledge acquisition, as this approach prioritizes Socratic self-discovery and learning over directly solving the task.