What is memory rotation?

To keep files manageable for LLMs, it automatically moves older log entries from memory.md into monthly archives once the file exceeds 50KB or 50 entries.

How does it decide what to document?

It uses a heuristic based on the number of files changed and the impact (e.g., schema changes or new dependencies) to categorize updates as Small, Medium, or Large.

Does it require user approval before making changes?

Yes, especially for large architectural changes. It generates drafts and requests user confirmation before finalizing significant documentation updates.

What documentation files does this skill manage?

It primarily manages architecture.md for system structure, memory.md for change logs, and the decisions/ directory for Architectural Decision Records (ADRs).

Auto-Documenter

Name: Auto-Documenter
Author: aimskr

byaimskr

0•

콘텐츠 관리

Automates the generation and maintenance of project architecture, change logs, and Architectural Decision Records (ADRs).

Auto-Documenter is a specialized Claude Code skill that streamlines technical documentation by automatically updating project files after development tasks. It intelligently analyzes the scale of code changes to update architecture overviews, append to change logs (memory.md), and generate formal Architectural Decision Records (ADRs). With built-in features like memory rotation to prevent context bloat and support for custom configuration via .documenter-config, it ensures that your documentation remains accurate, organized, and perfectly synced with your codebase without manual overhead.

주요 기능

01Support for custom project configurations and multi-repo/monorepo structures

02Automated Architectural Decision Record (ADR) lifecycle management and numbering

030 GitHub stars

04Smart change scale detection (Small, Medium, Large) to determine documentation depth

05Architecture.md management with structural analysis and stack detection

06Dual-trigger memory rotation (size and entry count) with automatic archiving

사용 사례

01Formalizing technical decisions through automated ADR generation during architectural shifts

02Initializing documentation for a new project by analyzing the existing code structure

03Updating project documentation and change logs immediately after a task completion

주요 기능

01Support for custom project configurations and multi-repo/monorepo structures

02Automated Architectural Decision Record (ADR) lifecycle management and numbering

030 GitHub stars

04Smart change scale detection (Small, Medium, Large) to determine documentation depth

05Architecture.md management with structural analysis and stack detection

06Dual-trigger memory rotation (size and entry count) with automatic archiving

사용 사례

01Formalizing technical decisions through automated ADR generation during architectural shifts

02Initializing documentation for a new project by analyzing the existing code structure

03Updating project documentation and change logs immediately after a task completion