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LLM Context Modular Docs
by Ahmed Rehan
Structure project docs for selective, low-cost LLM context loading.
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See it in action
You say
My 500KB README is causing context rot and high costs. Reorganize my docs into a modular memory/reasoning structure.
Your agent does
Generated docs/llm-context/ directory:
- index.md: Navigation map
- api-memory.txt: Schema and endpoints
- api-reasoning.txt: Implementation patterns
- config-memory.txt: Defaults and types Token efficiency improved: Agent now loads <15KB per query.
What you get
About this skill
Structure project documentation as modular, selectively-loadable units so agents pull only the context they need: split by surface, keep navigation maps, manage duplication, and keep docs cheap to load for both humans and models. Cuts token cost and improves answer quality in agent-heavy workflows.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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