Session Scribe

Document AI-assisted coding sessions into summaries, ADRs, and change logs.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/gil-air-may/scribe --skill session-scribe
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Session Scribe
Source: https://github.com/gil-air-may/scribe/tree/main
Command: npx skills add https://github.com/gil-air-may/scribe --skill session-scribe

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill transforms ephemeral AI coding sessions into structured, persistent documentation, capturing architectural decisions, reasoning, and context evolution, preventing valuable insights from being lost.

Core Features & Use Cases

  • Automatic Session Documentation: Captures file changes, decisions, and reasoning during coding sessions.
  • Architectural Decision Records (ADRs): Documents key architectural choices with rationale.
  • Context Loading: Allows recalling previous session context and decisions for any project.
  • Use Case: After a complex feature implementation, invoke @scribe to automatically generate a session summary, document any architectural decisions made, and save it for future reference or team review.

Quick Start

Use the scribe skill to document your current coding session.

Frequently Asked Questions about Session Scribe

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

FAQPage Schema
How do I automatically document AI coding sessions and capture architectural decisions?

To document AI coding sessions automatically, this Skill observes file modifications and extracts conversational context into structured artifacts like session summaries and change logs. It captures architectural decisions and reasoning during development to preserve valuable insights.

What is the best way to generate Architectural Decision Records (ADRs) from developer sessions?

Generating Architectural Decision Records (ADRs) is handled by extracting conversational context from coding sessions to document key architectural choices and their rationale. It transforms ephemeral AI coding interactions into persistent, structured documentation.

How do I save code context and session logs for future project retrieval?

To save code context and session logs, the Skill indexes project keywords and saves generated documentation within a dedicated repository. This facilitates context retrieval for ongoing development and allows recalling previous session decisions.

Can I use automatic session logging to track file modifications during development?

Automatic session logging tracks file modifications by observing changes during AI-assisted coding sessions. It uses these modifications to extract conversational context and automatically generate session summaries and change logs for your projects.

Do I need a dedicated documentation repository to store session summaries and ADRs?

A dedicated documentation repository is supported to store session summaries and Architectural Decision Records. This structure ensures that generated change logs and context artifacts are organized for future reference and team review.

What are the limitations of automatic session documentation for code context?

Automatic session documentation relies on observing file modifications and extracting conversational context to build artifacts. It requires active coding sessions to capture decisions and reasoning, meaning it cannot document historical development that occurred prior to initialization.