retro

Review AI session history and generate structured follow-up tasks.

1|Updated Feb 12, 2026
One-click install
npx skills add https://github.com/gioe/tusk --skill retro-gioe
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: retro
Source: https://github.com/gioe/tusk/tree/main/skills/retro
Command: npx skills add https://github.com/gioe/tusk --skill retro-gioe

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps you reflect on your AI sessions, identify areas for improvement in your workflow, and ensure that important tangential issues or follow-up tasks are not forgotten.

Core Features & Use Cases

  • Session Review: Analyzes conversation history to surface friction points, workarounds, and tangential issues.
  • Task Generation: Creates structured follow-up tasks for process improvements, tangential issues, and incomplete work.
  • Duplicate & Subsumption Checks: Prevents redundant task creation by checking against existing backlog items.
  • Use Case: After a complex coding session, use this Skill to capture lessons learned about the CLAUDE.md instructions, identify a bug found in a different module, and create a task for a feature enhancement that was discussed but not implemented.

Quick Start

Run the retro skill to review the current session and identify actionable improvements.

Frequently Asked Questions about retro

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

FAQPage Schema
What is retrospective analysis for AI-assisted workflows?

To review a coding session for workflow improvements, the Skill analyzes conversation history to identify friction points and workarounds. It then generates structured follow-up tasks to capture lessons learned and tangential issues.

Do I need a task management system CLI to run session reviews?

Preventing duplicate tasks during session review requires checking new items against existing backlog entries. This Skill performs duplicate and subsumption checks against your task management system before inserting newly generated follow-up tasks.

Can I capture tangential issues found during an AI coding session?

Yes, you need a task management system accessible via CLI commands. The Skill requires CLI integration to retrieve existing backlog data for duplicate checks and insert newly generated process improvement tasks.

What are the limitations of using AI coaching for process optimization?

Capturing tangential issues during an AI coding session involves analyzing conversation history for unrelated bugs or feature discussions. This Skill surfaces these tangential issues and creates structured tasks to ensure they are not forgotten.

What are the limitations of using AI coaching for process optimization?

AI coaching for process optimization is limited by its reliance on CLI integration with your specific task management system. Without CLI access for data retrieval and task insertion, the Skill cannot perform duplicate checks or automate backlog updates.