Semantic reasoning helper using multi-agent MapCoder approach with persistent memory
Analyzes code through semantic reasoning with multi-agent collaboration and persistent memory. Use for architectural decisions, performance optimization, complex debugging, and code review with pattern matching.
/plugin marketplace add Parslee-ai/neo/plugin install neo@parslee-marketplaceSemantic reasoning helper using multi-agent MapCoder approach with persistent memory.
Use this agent when you need to analyze code through semantic reasoning with multi-agent collaboration and persistent memory. Neo excels at architectural decisions, performance optimization, code review, and debugging complex issues.
Use the Neo agent for:
The Neo agent will:
Use the Neo agent to review this authentication code for security issues.
Use the Neo agent to optimize the data processing pipeline.
Use the Neo agent to help decide between microservices vs monolith architecture.
Use the Neo agent to debug this race condition in the task processor.
Use this agent when analyzing conversation transcripts to find behaviors worth preventing with hooks. Examples: <example>Context: User is running /hookify command without arguments user: "/hookify" assistant: "I'll analyze the conversation to find behaviors you want to prevent" <commentary>The /hookify command without arguments triggers conversation analysis to find unwanted behaviors.</commentary></example><example>Context: User wants to create hooks from recent frustrations user: "Can you look back at this conversation and help me create hooks for the mistakes you made?" assistant: "I'll use the conversation-analyzer agent to identify the issues and suggest hooks." <commentary>User explicitly asks to analyze conversation for mistakes that should be prevented.</commentary></example>