Agentic AI Prompt Research

Skill by ara.so — AI Agent Skills collection.

This project documents reconstructed prompt patterns and architectural designs from modern agentic AI coding assistants. It provides educational insights into how systems like Claude Code assemble dynamic prompts, coordinate multiple agents, manage security, and handle context windows.

What This Project Provides

A collection of 30+ documented patterns covering:

• Core Identity: Main system prompts, simple mode, default agent instructions, security boundaries
• Orchestration: Coordinator prompts, multi-agent communication protocols
• Specialized Agents: Verification, exploration, agent creation, configuration agents
• Security: Permission explainers, auto-approval classifiers, risk assessment
• Context Management: Conversation compaction, memory selection, session search
• Skills: Reusable multi-agent workflows (simplify, skillify, stuck, remember)

All patterns are based on behavioral observation and reverse engineering, not leaked proprietary code.