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retrospective

Aggregates git history, conversations, code quality, planning docs, and tests into guided retrospective sessions with actionable outcomes.

1|Updated Mar 24, 2026
Search Tags:#planning#narrative#retrospective#git-history#ai-assisted#team-process
One-click install
npx skills add https://github.com/joesys/joesys-skills --skill retrospective-joesys
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: retrospective
Source: https://github.com/joesys/joesys-skills/tree/main/skills/retrospective
Command: npx skills add https://github.com/joesys/joesys-skills --skill retrospective-joesys

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates and structures project retrospectives by combining AI-driven analysis with human check-ins to surface actionable improvements and a narrative summary.

Core Features & Use Cases

  • 5 parallel channel agents mining data sources (git history, conversations, code quality, planning docs, tests) to build a comprehensive digest.
  • Derives 4–7 discussion topics from the aggregated data, surfacing tensions and opportunities for improvement.
  • Facilitates topic-by-topic discussion with the human, capturing Start/Stop/Continue actions and decisions at each step.
  • Produces three outputs: actionable item list, process improvements, and skill improvements, plus a readable narrative summary.

Quick Start

Invoke the retrospective flow to kick off a guided, multi-source analysis and produce the digest, topic discussions, and narrative outputs.

Frequently Asked Questions about retrospective

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

FAQPage Schema
How do I automate a software project retrospective using git history and planning docs?▼

Automated retrospectives aggregate git history, planning docs, and conversations through parallel channel agents to synthesize data into discussion topics and actionable improvements.

What is an AI-assisted retrospective and how does it handle team discussions?▼

AI-assisted retrospectives mine multiple data sources to derive discussion topics, then guide human-in-the-loop conversations topic-by-topic to capture Start, Stop, and Continue actions.

How do I generate action items and a narrative summary from code quality and test data?▼

By synthesizing code quality and test data alongside git history, the structured retrospective workflow produces actionable item lists, process improvements, and a readable narrative summary.

Can I use automated retrospectives for software projects with conversations and planning documents?▼

Yes, the retrospective workflow applies to software projects by mining conversations, planning docs, and git history to surface tensions and opportunities for improvement.

What outputs should I expect from a structured team retrospective process?▼

A structured retrospective delivers an actionable item list, process improvements, skill improvements, and a readable narrative summary derived from aggregated project data.

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