Engineer what goes into the LLM context window — system prompts, retrieved docs, tool schemas, conversation history, memory, examples. Apply the four operations write/select/compress/isolate to manage context as a finite resource. Enforce the 40% rule on context utilization. Use whenever the user is designing system prompts, debugging quality degradation in long conversations, hitting context limits, managing per-step retrieval, dealing with sub-agent context isolation, or asking about "context engineering" / "prompt engineering" / CLAUDE.md / AGENTS.md / instruction files.
How to install context-engineering?
moai-team-llc/agentic-product-standard/context-engineering
$npx -y skills add moai-team-llc/agentic-product-standard --skill context-engineeringInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/moai-team-llc/agentic-product-standard" --skill "moai-team-llc/agentic-product-standard/context-engineering"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/moai-team-llc/agentic-product-standard" that are relevant to the current task. Run `npx skills add "https://github.com/moai-team-llc/agentic-product-standard"` and select the relevant skills, then follow their instructions.
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