Agent Cognitive Architecture
CommunityEnhance agent reasoning with advanced cognitive architectures.
Software Engineering#AI reasoning#Tree of Thoughts#ReAct#skill library#cognitive architectures#Reflexion
AuthorRenzo-Tognella
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a framework for enhancing the reasoning loop of AI agents, enabling more sophisticated cognitive processes like ReAct, Tree of Thoughts, and Reflexion.
Core Features & Use Cases
- Enhanced Reasoning Loop: Introduces an advanced cognitive loop that includes Observe, Retrieve, Reason, Act, Reflect, and Store.
- Strategy Selection: Offers guidance on choosing the right strategy (ReAct, ToT, Reflexion, Orchestrator-Workers, Evaluator-Optimizer) based on task complexity.
- Procedural Memory: Implements a skill library pattern for storing and reusing successful task patterns.
- Use Case: Suitable for AI agents handling complex tasks that require multi-step planning and self-reflection.
Quick Start
Integrate this Skill into your agent's reasoning loop to improve memory quality assessment and planning for multi-step tasks.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Agent Cognitive Architecture Download link: https://github.com/Renzo-Tognella/UniversalThingsForMyAgents/archive/main.zip#agent-cognitive-architecture Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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