Claude Code Workflow Visual Details Memory Hierarchy and Skills System

Claude Code Workflow Components
A Reddit user shared a visual diagram that clarifies how Claude Code organizes its workflow. The diagram covers several key components: Claude MD files, memory hierarchy, skills, hooks, project structure, and the workflow loop.
Memory Hierarchy Details
The source clarifies how Claude loads context through a layered memory system:
~/.claude/CLAUDE.md→ Global memory/CLAUDE.md→ Repository context./subfolder/CLAUDE.md→ Scoped context
Subfolders append context rather than replacing it, which can cause sessions to feel "overloaded" if these files become too large.
Skills System
Instead of repeating prompts, Claude Code allows defining reusable patterns as skills. These are stored in specific directories:
.claude/skills/testing/SKILL.md.claude/skills/code-review/SKILL.md
Claude automatically invokes these skills when their descriptions match the current task.
Suggested Workflow Loop
The visual suggests this operational sequence:
cd project && claude- Plan mode
- Describe feature
- Auto accept / compact
- Commit frequently
The Reddit user notes that while individual components aren't groundbreaking, seeing them integrated in one diagram helps understand the system. The ecosystem is still evolving, with users experimenting with different approaches to organizing CLAUDE.md files, skills, and hooks.
📖 Read the full source: r/ClaudeAI
👀 See Also

Open Source AI Memory Storage for NodeJS Projects
Mind Palace is an open source memory storage and retrieval system for NodeJS that persists information across LLM chat sessions. It supports major LLMs and vector stores, automatically extracting and vectorizing summarized memories from interactions.

Spectr: An MCP That Writes App Specs from Screen Recordings for Pixel-Perfect Claude Clones
Spectr is an MCP server, CLI, and Claude Code skill that takes an .mp4/.mov screen recording of an iOS app and generates a 7-section spec.md with hex codes, font weights, spacing, transitions, and nav graph — eliminating the 30-minute manual spec writing per screen.

Benchmark Results: 6 Low-Cost Models vs. Claude Sonnet 4.6 for OpenClaw Orchestration
A developer tested six cheaper AI models against Claude Sonnet 4.6 as the main orchestrator for an OpenClaw setup. Only o4-mini matched Sonnet's perfect score, while others failed on critical judgment tasks like file inspection and delegation.
Claude Code vs Codex: 36 vs 28 files, $2.50 vs $2.04, infinite loop caught — real-world comparison
A developer runs the same two tasks on Claude Code and Codex (Cursor): PR triage bot and real-time code review UI. Results: 36 vs 28 files, $2.50 vs $2.04 cost, Claude produced fewer TypeScript errors, Codex had an infinite React loop.