cyberarian

What problem does it solve?

Manually managing project documentation (organization, indexing, archiving) is time-consuming, inconsistent, and leads to cluttered context windows for AI. This skill automates the entire documentation lifecycle, ensuring consistency, discoverability, and automatic maintenance.

Core Features & Use Cases

• Structured Organization: Enforces a consistent docs/ directory structure with semantic categories (specs, analysis, plans, ai_docs).
• Automatic Indexing: Maintains an auto-generated INDEX.md for easy discoverability of all documents.
• Lifecycle Management: Uses metadata (status, dates) to automatically archive old or completed documents, preventing clutter and keeping active documentation relevant.
• Use Case: When starting a new project, use this skill to initialize a professional docs/ structure. As you create specifications or analysis documents, the skill ensures they are properly categorized, indexed, and eventually archived when complete, keeping your project documentation tidy and discoverable without manual effort.

Quick Start

Initialize the documentation structure for your project. Then, create a new specification document in docs/specs/my-new-spec.md and fill its frontmatter. Finally, update the index by running the indexing script.