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session-review

Extract 3-5 insights from conversations into AGENTS.md and .notes/.

Updated Oct 28, 2025
Search Tags:#workflow#insights#notes#knowledge-management#capture#session-review
One-click install
npx skills add https://github.com/SnowboardTechie/dotfiles --skill session-review-snowboardtechie
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: session-review
Source: https://github.com/SnowboardTechie/dotfiles/tree/main/dot-config/opencode/skills/session-review
Command: npx skills add https://github.com/SnowboardTechie/dotfiles --skill session-review-snowboardtechie

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps teams convert lengthy conversations into a concise, actionable knowledge base by extracting 3-5 key insights and routing them to AGENTS.md and .notes/.

Core Features & Use Cases

  • Surface 3-5 significant insights from sessions and route them to AGENTS.md and .notes/
  • Classify insights into conventions, anti-patterns, locations, decisions, explorations, and session notes with the provided workflow
  • Provide a repeatable process for capturing learnings across meetings, retrospectives, and design reviews

Quick Start

Run a session review to extract its top 3-5 insights and save them to AGENTS.md and .notes/.

Frequently Asked Questions about session-review

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

FAQPage Schema
How do I extract key insights from project meetings and retrospectives?▼

Extracting insights from project meetings and retrospectives involves capturing 3-5 significant learnings per session and routing them to AGENTS.md and .notes/. This distills lengthy conversations into a concise, actionable knowledge base using a structured, frontmatter-driven workflow.

How do I categorize session notes into conventions and anti-patterns?▼

You categorize session notes into conventions, anti-patterns, locations, decisions, explorations, and session notes by applying the provided frontmatter-driven routing workflow. This classification guidance structures learnings consistently within your knowledge base.

What is the best way to capture team learnings into a knowledge base?▼

The best way to capture team learnings into a knowledge base is using a repeatable session review process that extracts 3-5 insights per conversation and outputs entries to AGENTS.md and .notes/. This converts discussions into actionable knowledge management.

Does this session review workflow require external dependencies?▼

No, this session review workflow requires no external dependencies. It uses a structured frontmatter-driven routing mechanism to classify insights and output entries directly to AGENTS.md and .notes/ without additional components.

When do I need to save session notes to AGENTS.md?▼

You need to save session notes to AGENTS.md when you want to convert lengthy conversations, such as project reviews or design discussions, into a concise knowledge base. This captures 3-5 key insights per session for future reference.

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