session-retrospective

Generate structured GitHub Issues capturing session improvement points.

345|12|Updated Apr 14, 2026
One-click install
npx skills add https://github.com/minicoohei/ai-agent-camp --skill session-retrospective-minicoohei
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: session-retrospective
Source: https://github.com/minicoohei/ai-agent-camp/tree/main/.claude/skills/session-retrospective
Command: npx skills add https://github.com/minicoohei/ai-agent-camp --skill session-retrospective-minicoohei

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

At the end of a session, this skill automatically reviews the conversation to surface actionable improvement points and creates GitHub Issues to track them.

Core Features & Use Cases

  • Automatic session review across categories like auth, conventions, tooling, docs, workflow, and error handling to surface concrete improvements.
  • Structured Issue templates with Background, Problem, Proposal, and Context; supports batch or selective creation and a dry-run mode.
  • Integrates with ai-agent-camp workflows via common triggers like "session-retrospective", "振り返り", or "Create improvement Issues".

Quick Start

Ask the AI to run a session retrospective to generate and register self-improvement Issues from the recent conversation.

Frequently Asked Questions about session-retrospective

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

FAQPage Schema
How do I automatically create GitHub issues for session improvement points?

You can automate GitHub issue creation for session improvements by triggering a retrospective that reviews conversations and batch-registers structured issues. It captures auth, tooling, docs, and workflow gaps using a Background, Problem, Proposal, and Context format, with a dry-run option for safe validation.

What is a session retrospective in a conversational engineering workflow?

A session retrospective is an automated review process that surfaces actionable improvement points from recent conversational interactions across engineering and product teams. It categorizes findings into auth, conventions, tooling, docs, workflow, and error handling to generate concrete GitHub issues.

Can I preview GitHub issues before batch-creating them from a session review?

Yes, you can preview GitHub issues before batch-creating them by using the built-in dry-run mode. This allows you to validate the structured Background, Problem, Proposal, and Context formats for each improvement point before actually posting them to your repository.

Does the session retrospective skill support selective issue creation instead of batching?

Yes, the session retrospective skill supports both batch and selective issue creation. You can choose specific improvement points from the session review to register as structured GitHub Issues, rather than automatically posting all surfaced gaps across auth, tooling, docs, and workflow categories.

What categories does an automated session retrospective cover for engineering teams?

An automated session retrospective covers common engineering categories including auth, conventions, tooling, docs, workflow, and error handling. It scans conversations to surface concrete improvement points within these domains, generating structured GitHub issues for engineering and product teams.