coach

Convert any topic into structured learning with research, summaries, and quizzes.

2|1|Updated Aug 23, 2025
One-click install
npx skills add https://github.com/neozenith/agentic-dotfiles --skill coach-neozenith
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: coach
Source: https://github.com/neozenith/agentic-dotfiles/tree/main/skills/coach
Command: npx skills add https://github.com/neozenith/agentic-dotfiles --skill coach-neozenith

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires agent, agent-websearch, agent-webfetch, agent-github, agent-arxiv, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill turns any topic into a grounded, Socratic coaching session, enhancing learning and understanding through parallel research, precise summaries, adaptive quizzes, and persistent mental-model tracking.

Core Features & Use Cases

  • Parallel Research: Conducts research on the topic via web, arXiv, GitHub, and other sources, ensuring factual accuracy.
  • Precise Summaries: Produces concise, 5-bullet summaries with inline citations for clarity and reliability.
  • Adaptive Quizzing: Offers multiple-choice or open-ended quizzes, allowing the learner to demonstrate understanding and diagnose misconceptions.
  • Persistent Mental-Model Tracking: Keeps track of the learner's progress and knowledge gaps across sessions.

Quick Start

Use the coach skill to learn about a new topic, such as 'Bayesian knowledge tracing'.

Frequently Asked Questions about coach

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

FAQPage Schema
How does Socratic coaching improve knowledge retention for complex topics?▼

Adaptive quizzing uses the testing effect and desirable difficulties to actively retrieve knowledge, diagnose misconceptions, and track persistent mental models across sessions. This structured learning approach enhances long-term factual retention.

What is the best way to turn a research topic into a structured learning session?▼

Transform a topic into a structured learning session by deploying parallel research agents across web, arXiv, and GitHub to gather data, then generating precise summaries with inline citations and adaptive quizzes to test understanding.

Can I use automated tutoring to diagnose knowledge gaps and track mental models?▼

Automated tutoring diagnoses knowledge gaps using multiple-choice or open-ended quiz engines, while tracking your evolving mental model and progress persistently across multiple coaching sessions to ensure learning science principles are met.

Do I need web search and arXiv agents to generate grounded summaries with inline citations?▼

Research agents like web search and arXiv agents are required to conduct parallel data collection. These dependencies ensure the summary generator produces concise, factual five-bullet overviews with reliable inline citations.

How do I start a coaching session on a specific topic like Bayesian knowledge tracing?▼

To start coaching on Bayesian knowledge tracing, input the topic to trigger parallel research, review the generated five-bullet summary with inline citations, and complete the adaptive quiz to establish your baseline mental model.

What are the limitations of using an automated coaching skill for learning science?▼

Limitations include the expertise reversal effect, where advanced learners may find adaptive quizzes less efficient than direct study. Additionally, the quality of summaries and mental-model tracking depends entirely on the availability of web, arXiv, and GitHub research sources.