prompt-engineer-agentic
v4.1.0Designs and optimizes system prompts for advisory AI and autonomous agent systems using a three-layer architecture (Foundation → Structure → Execution). Integrates evidence-graded techniques with production-proven patterns from Claude Code, Vercel v0, and Manus. Use when designing agentic systems wi...
Sourced from ClawHub,
Authored by Christian Rubio
Installation
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.