agentic_ai_engineering
CommunityDesign, build, and refactor agentic AI systems with best practices.
Software Engineering#agentic AI#cognitive architecture#memory design#deployment patterns#safety mechanisms
AuthorRenzo-Tognella
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides comprehensive guidelines for engineering robust, reliable, and scalable agentic AI systems, addressing architecture, memory design, safety, and deployment best practices.
Core Features & Use Cases
- Architectural Patterns: Offers design patterns for agentic systems, including cognitive loops and memory architecture.
- Memory Design: Guides on implementing short-term, long-term, episodic, procedural, and prospective memory.
- Tool Use & MCP Integration: Best practices for tool design and integration with Multi-Agent Coordination Protocol (MCP).
- Safety & Guardrails: Safety mechanisms and deployment practices for autonomous agents.
- Observability & Debugging: Metrics and tracing for monitoring system health and performance.
- Deployment Patterns: Patterns for single-agent and multi-agent deployments, including long-running agents.
- Anti-Patterns: Identifies common anti-patterns and their fixes in agentic AI engineering.
Quick Start
Run the agentic_ai_engineering skill to understand architectural patterns for agentic AI systems.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
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Please help me install this Skill: Name: agentic_ai_engineering Download link: https://github.com/Renzo-Tognella/UniversalThingsForMyAgents/archive/main.zip#agentic-ai-engineering Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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