CLAUDE.md tackles one of the biggest headaches in prompt engineering: keeping your instructions clear, structured, and consistent. By breaking your prompts into a defined markdown format, it minimizes ambiguity and helps the model follow your intended steps more reliably. You get sections for goals, context, constraints, and examples—all in one file that the model can parse. The second challenge is watching your context window so you don’t suddenly hit the token limit and truncate your conversation. That’s where headroom comes in. It’s a tiny status-bar plugin you install with a single command from http://github.com/henchmarketing-rgb/headroom. Once loaded, it constantly shows you the percentage of your context budget in your editor’s statusline. No guessing, no surprise cutoffs. Put them together and you’ve got a two-pronged approach: CLAUDE.md to keep your instructions sharp, and headroom to keep your token usage in check.