Claude Code Workflow Visual Explains Memory Hierarchy and Skills System

A Reddit user shared a visual diagram that outlines the workflow structure for Claude Code, showing how different components fit together. The visual covers CLAUDE.md files, memory hierarchy, skills, hooks, project structure, and the workflow loop.
Memory Hierarchy Details
The source clarifies Claude's context loading 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, users can define reusable patterns as skills 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 recommends this sequence:
cd project && claude- Plan mode
- Describe feature
- Auto accept
- Commit frequently with /compact
The Reddit post notes that while individual elements aren't groundbreaking, seeing them together in one diagram helps clarify 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

Replacing OpenClaw's Default Memory with Redis and Qdrant for Production Multi-Agent Systems
A developer replaced OpenClaw's default SQLite memory with Redis for ephemeral state and Qdrant for persistent vector memory to solve scaling issues in multi-agent setups, implementing semantic search, cross-agent sharing, and concurrent writes.

Fix for Running OpenClaw on Android via proot Ubuntu: Hijack networkInterfaces() to Resolve uv_interface_addresses Error 13
A developer shares a fix for running OpenClaw 2026.3.13 on Android 16 via Termux and proot Ubuntu 25.10, where the app crashes with 'uv_interface_addresses returned Unknown system error 13'. The solution is a JavaScript hijack script that overrides os.networkInterfaces().

How to Fix OpenClaw Response Times by Reducing Context Bloat
A developer resolved 10-minute response times in OpenClaw by reducing injected workspace files from 47,000 characters to 16,000 characters through file restructuring and configuration changes, including setting bootstrapMaxChars to 8000 and adding compaction safeguards.

OpenClaw Multi-Agent Playbook: 7 Isolated Agents for 5/Month
Complete architecture guide for running specialized AI agents with focused memory, least-privilege permissions, and smart model routing.