CLAUDE - nomad-at-you/ai-portfolio GitHub Wiki

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Repository Overview

This is an AI engineering portfolio knowledge management system built with Obsidian, containing documentation, research, and organizational structures for AI-related projects and learning.

Architecture

Directory Structure

  • 00-notes/: Primary notes collection including AI engineering topics, projects, and documentation
  • 01-mindmaps/: Visual thinking maps for AI concepts and architectures
  • 02-templates/: Obsidian templates for consistent note creation
  • 03-assets/: Images, diagrams, and other media files
  • 04-exports/: External data exports and integration content
  • 05-zotero/: Academic reference management for AI research
  • 06-oldraw/: Archive of older notes and content
  • 07-scripts/: Automation scripts and tools

Core Systems

  • Knowledge Management: Structured organization of AI engineering knowledge and research
  • Template System: Consistent templates for different types of AI-related content
  • Research Integration: Integration with academic tools like Zotero for managing AI literature
  • Visual Documentation: Support for mind maps and diagrams to illustrate AI concepts

Note Organization

  • Notes use YAML frontmatter with metadata for categorization
  • Content is organized using tags for AI topics, projects, and research areas
  • Cross-linking between notes using double-bracket notation
  • Supports various content types: research papers, project documentation, learning notes

Key Features

Obsidian Plugin Integration

The vault uses extensive plugin ecosystem including:

  • DataView for dynamic queries and data organization
  • Excalidraw for technical diagrams and AI architecture visualizations
  • Templater for automated content creation
  • Meta-bind for interactive elements
  • Advanced search and navigation tools

AI Engineering Focus

  • Structured documentation of AI concepts, tools, and methodologies
  • Research paper management and note-taking
  • Project documentation and portfolio building
  • Learning path tracking and skill development

Development Notes

This repository serves as a knowledge management system for AI engineering:

  • Adding new research notes and documentation
  • Creating visual representations of AI concepts
  • Organizing learning materials and project documentation
  • Managing references and academic sources

The system relies on Obsidian's plugin ecosystem for enhanced functionality and is designed specifically for AI engineering knowledge management and portfolio development.