GUIDES
The Context Cleanup Checklist 📚
Anthropic cut over 80% of Claude Code's instructions and it got no worse. Here is the exact checklist to trim your own AI setup so it thinks better, not harder.
You commented TRIM, so here it is. Anthropic just published new guidance for the Claude 5 generation, and buried in it was a wild admission: they deleted more than 80% of Claude Code's system prompt and saw no measurable drop in quality.
The lesson for the rest of us is simple. Most AI setups are not underfed, they are overloaded. Fewer, sharper instructions beat a wall of rules. This is the exact pass I run on my own setup in Claude, and you can do it in about ten minutes.
The Context Cleanup Checklist
- Delete every rule that states the obvious. "Write good code," "be helpful," "use correct grammar." Modern models already do this. Every line you cut is one less thing competing for attention.
- Turn rules into outcomes. Instead of ten style rules, say the result you want: "match the style of the file you are editing." That is Anthropic's own example. Outcomes travel further than rules.
- Kill the conflicts. Two instructions that fight, like "always be concise" and "explain every step," make AI hesitate and guess. Pick one.
- Break the one giant file into small ones. Do not dump everything into a single mega-prompt. Keep the always-true stuff short, and load the rest only when the task needs it. Anthropic calls this progressive disclosure.
- Show, do not describe. Replace a paragraph describing what you want with an actual example: a mockup, a sample output, a real file to copy. One reference beats three paragraphs.
- Move "how to do X" into the thing that does X. Setup steps for a specific task belong in that task's skill or project, not in your top-level instructions.
- Keep only the gotchas. Your custom instructions should hold the surprising, get-it-wrong-otherwise stuff. Not a manual.
The 5-Minute Cleanup Prompt
Do not want to audit by hand? Paste your current instructions (your custom instructions, your project prompt, or your CLAUDE.md) into Claude with this, and it hands you a trimmed version plus a list of what it cut.
Want the bigger picture on this skill? I broke down the context engineer role here. And when a chat gets bloated mid-task, my Save Your Claude Context handoff resets it clean.
The real unlock of AI agents is not full autonomy, but human-in-the-loop systems design. Structure your agent inputs with explicit constraints, negative prompts, and automated test checkpoints. When building tools, keep token consumption lean by caching system prompts and isolating tasks into specialized sub-agents.