mt-review-session

Reviews AI-assisted sessions to identify process weaknesses and generate workflow improvement recommendations.

Updated May 15, 2026
One-click install
npx skills add https://github.com/t-miura-024/tools --skill mt-review-session
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mt-review-session
Source: https://github.com/t-miura-024/tools/tree/main/chezmoi/dot_config/opencode/skills/mt-review-session
Command: npx skills add https://github.com/t-miura-024/tools --skill mt-review-session

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps users identify inefficiencies, missed opportunities, and improvement areas in AI-assisted sessions by turning conversations into actionable retrospectives.

Core Features & Use Cases

  • Session Analysis: Reviews conversation goals, executed tasks, Skills, Rules, and SubAgents to evaluate process quality.
  • Improvement Recommendations: Suggests concrete Skill, Rule, or SubAgent improvements based on reusable workflow patterns.
  • Configuration Review Guidance: Triggers follow-up review of modified AI configuration files when relevant changes are made.
  • Use Case: After completing a complex development session, use this Skill to understand what worked, what could improve, and which reusable automation patterns should be created.

Quick Start

Use the mt-review-session skill to analyze this conversation and suggest workflow improvements.

Frequently Asked Questions about mt-review-session

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

FAQPage Schema
How do I run a retrospective on an AI-assisted development session?

Run a retrospective on an AI-assisted development session by analyzing conversation goals, executed tasks, and tooling decisions to evaluate process quality and generate workflow improvement recommendations.

What is the best way to identify reusable automation patterns from AI agent workflows?

Identify reusable automation patterns by reviewing executed AI sessions, evaluating which Skills, Rules, and SubAgents performed well, and suggesting concrete improvements based on detected workflow patterns.

Can I review modified AI configuration files after a development session?

Yes, you can review modified AI configuration files after a session. The review process triggers follow-up guidance to evaluate relevant configuration changes made during the workflow.

When should I use a session review for improving AI agent workflows?

Use a session review for improving AI agent workflows after completing a complex development session to understand what worked, identify inefficiencies, and find missed automation opportunities.

Does this session review process evaluate executed tasks and tooling decisions?

Yes, the session review process evaluates executed tasks and tooling decisions. It requires structured evaluation of goals, execution quality, and tooling choices to identify process weaknesses.

What are the limitations of using retrospectives for workflow improvement in AI configurations?

Retrospectives for workflow improvement are limited to analyzing past conversation data and configuration changes, meaning they suggest improvements based on historical patterns rather than predicting future execution issues.