Claude Code Workflow Visual: Memory Hierarchy, Skills, Hooks, and Loop
A Reddit user shared a workflow visual that maps out how Claude Code's components fit together: CLAUDE.md, memory hierarchy, skills, hooks, project structure, and the workflow loop.
Memory Layering
The visual clarifies context loading order:
~/.claude/CLAUDE.md→ global memory/CLAUDE.md→ repo context./subfolder/CLAUDE.md→ scoped context
Subfolders append context, not replace it. This explains why sessions can feel overloaded when those files grow large.
Skills
Instead of repeating prompts, define reusable patterns in .claude/skills/. Examples:
.claude/skills/testing/SKILL.md .claude/skills/code-review/SKILL.md
Claude auto-invokes skills when the description matches.
Workflow Loop
The recommended loop:
cd project && claude Plan mode Describe feature Auto accept /compact commit frequently
No single element is groundbreaking, but seeing it all together helps organize Claude Code usage.
The ecosystem is still evolving, and workflows remain personal.
📖 Read the full source: r/ClaudeAI
👀 See Also
Designing Constraints for Production-Grade AI Agent Reliability
A Reddit post details a constraint-based approach to using Claude for complex codebase operations, emphasizing explicit failure mode enumeration, phased execution with checkpoints, and anti-shortcut rules to achieve zero broken builds when removing 140 files.
Giving Claude M365 Access via Power Automate and a FastMCP Server
A developer built a lightweight MCP server that lets Claude interact with Microsoft 365 (inbox, calendar, OneDrive, Planner, Excel, Word) using Power Automate webhooks — no admin Graph permissions needed.
CLAUDE.md Files Are Often Organized for Developers, Not AI Models – Here's Why That Matters
CLAUDE.md files commonly place Hard Rules at line 47, after background and tech stack. By the time the model reads constraints, it has already constructed conflicting assumptions. A better structure puts hard rules first.
Components of a Coding Agent: How Tools, Memory, and Context Extend LLMs
Sebastian Raschka breaks down the six building blocks of coding agents like Claude Code and Codex CLI, explaining how agent harnesses combine models with tools, memory, and repository context to make LLMs more effective for software work.