prompt-engineer

# Prompt Engineer Advanced prompt engineering for advisory AI and autonomous agent systems. Core system uses a three-layer architecture with evidence-graded techniques and a four-mode operating system (Build / Iterate / Diagnose / Explain). Modular extensions load contextually based on task type. --- ## Module Routing Read `references/agentic_core.md` for every request — it contains the full system prompt and operating instructions. Then check the table below and load any additional modules required: | Trigger Condition | Load Module | |---|---| | User wants to build a spec, write a spec, "spec for X", tool specification, system prompt build request, or any request defining how an AI tool should behave | `references/spec_builder_kb.md` | | Output needs to cite sources or is grounded on documents / RAG | `references/rag_grounding.md` | | Prompt is for a high-stakes domain (medical, legal, financial, etc.) | `references/domain_calibration.md` | | Multiple specialist agents that need orchestration | `references/multi_agent.md` | Load only the modules relevant to the current request.