Summary

Effective Claude workspace management requires strict token efficiency and modular file structures. By treating markdown files as a readable, hierarchical system, you can reduce bloat, automate routine tasks, and ensure consistent behavior across different projects.

Key Topics

• Claw.md: This file is loaded at the start of every session to set the persona, tone, and behavioral constraints. Keeping it lean (under 300 lines) is essential to prevent token waste and maintain AI consistency.
• Memory.md: Unlike the static rules in claw.md, memory.md holds the current state of your projects and personal data. Proper structure, like using labeled sections, allows the model to efficiently query relevant information without processing the entire file as a rule set.
• Workstations vs. Skills: Distinguishing between these ensures the AI context remains focused. A workstation maintains context for a specific domain (e.g., 'Newsletter Desk'), while a skill is a task-oriented tool (e.g., 'Workspace Audit').

Key Takeaways

• Install Obsidian and map your workspace directory as a vault.
• Audit your root claw.md file and relocate non-essential rules.