LLM Context Modular Docs
by Ahmed Rehan
Structure project docs for selective, low-cost LLM context loading.
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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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Creator
10 skills on Agensi
I'm Ahmed Rehan — a full-stack engineer and solo builder focused on developer tools, integration reliability, productivity systems, enterprise-aware automation, AI-agent workflows, and performance-conscious software.
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