Mentor Review — Session History & Growth Analysis

Summarize recent mentoring sessions and analyze growth trends from session logs.

Updated Mar 24, 2026
One-click install
npx skills add https://github.com/kazuki1213/dev-mentor-skills --skill mentor-review-session-history-growth-analysis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Mentor Review — Session History & Growth Analysis
Source: https://github.com/kazuki1213/dev-mentor-skills/tree/main/.agents/skills/mentor-review
Command: npx skills add https://github.com/kazuki1213/dev-mentor-skills --skill mentor-review-session-history-growth-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Review past mentoring sessions, identify recurring weaknesses, and visualize growth trends to guide future learning.

Core Features & Use Cases

  • Recent Sessions Overview: fetch and summarize the five most recent mentor logs, including date, task, and understanding scores.
  • Weakness & Growth Tracking: extract common weaknesses and show progress over time with suggested improvements.
  • Focused Guidance & Planning: generate data-driven recommendations for upcoming sessions and learning curves.

Quick Start

Provide a recent session summary with the /mentor-review command.

Frequently Asked Questions about Mentor Review — Session History & Growth Analysis

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

FAQPage Schema
How do I track mentoring progress and analyze session history for growth trends?

Analyzing mentoring sessions involves summarizing recent session logs to extract key learning points and tracking weaknesses over time. This process reviews past understanding scores to visualize growth trends and generate actionable feedback for future coaching sessions.

What is the best way to identify recurring weaknesses from past coaching logs?

Identifying recurring weaknesses requires extracting common patterns across multiple mentoring session logs. By analyzing historical understanding scores and task summaries, the system highlights consistent knowledge gaps and suggests targeted improvements for future coaching.

How do I generate a learning plan for my next mentoring session based on past feedback?

Generating a learning plan uses analyzed session history and growth trends to produce a ready-to-act plan. It translates identified weaknesses and past understanding scores into focused, data-driven recommendations for your upcoming coaching tasks.

Can I summarize recent mentoring sessions without manual data entry?

Summarizing recent mentoring sessions automatically fetches and condenses the five most recent logs. It extracts dates, completed tasks, and understanding scores directly from your session history to provide a quick overview without manual input.

Does this mentoring analysis approach require any specific software dependencies?

This mentoring analysis approach requires no specific software dependencies or external components. It operates independently to process session logs and generate growth trend reports, making it accessible for standalone coaching reviews without prior environment setup.