neuron-ai

Build custom Neuron AI workflows with nodes, events, middleware, and human-in-the-loop patterns. Use this skill whenever the user mentions workflows, orchestration, event-driven systems, custom agents, complex multi-step processes, human-in-the-loop patterns, or wants to build a custom agentic system from scratch. Also trigger for tasks involving node creation, event routing, workflow middleware, persistence, or interruption patterns.

Create custom tools, toolkits, and MCP integrations for Neuron AI agents. Use this skill when the user mentions creating tools, building toolkits, extending Tool class, defining tool properties, implementing tool execution, MCP server integration, Model Context Protocol, connecting external tools, or tool guidelines. Also trigger for any task involving ToolProperty, ArrayProperty, ObjectProperty, AbstractToolkit, McpConnector, or StdioTransport/SseHttpTransport/StreamableHttpTransport.

Create and configure Neuron AI agents with providers, tools, instructions, and memory. Use this skill whenever the user mentions building agents, creating AI assistants, setting up LLM-powered chat bots, configuring chat agents, or wants to create an agent that can talk, use tools, or handle conversations. Also trigger for any task involving agent configuration, provider setup, tool integration, or chat history management in Neuron AI.

Implement RAG (Retrieval-Augmented Generation) with Neuron AI including vector stores, embeddings providers, document loaders, and retrieval strategies. Use this skill whenever the user mentions RAG, retrieval, vector search, document retrieval, semantic search, knowledge bases, chat with documents, or wants to build AI systems that can query and understand external documents. Also trigger for tasks involving vector databases, embeddings, document chunking, or retrieval strategies.

Write tests for Neuron AI agents, RAG systems, workflows, and tools using the built-in testing utilities. Use this skill when the user mentions testing agents, writing unit tests, mocking AI providers, testing tool execution, verifying RAG retrieval, testing workflow behavior, or creating test cases for Neuron AI components. Also trigger for any task involving PHPUnit tests, fake providers, test assertions, or quality assurance in Neuron AI projects.

Debug and monitor Neuron AI applications with Inspector APM, event observability, logging, and performance analysis. Use this skill whenever the user mentions debugging, monitoring, observability, performance analysis, tracing, Inspector, or needs to understand why an agent is behaving a certain way. Also trigger for tasks involving agent execution timeline, tool call inspection, response quality issues, latency problems, or general troubleshooting of Neuron AI applications.

Create and run AI evaluations with datasets, assertions, and output drivers in Neuron AI. Use this skill whenever the user mentions evaluation, testing AI systems, creating evaluators, dataset-driven testing, assertion-based validation, or wants to measure AI system performance. Also trigger for tasks involving evaluator discovery, output configuration, result analysis, or building custom assertions.

Design and implement structured output classes for Neuron AI agents using SchemaProperty attributes and validation rules. Use this skill when the user mentions structured output, JSON schema extraction, data validation, output classes, DTOs for AI responses, extracting structured data from LLM, or configuring property schemas. Also trigger for any task involving SchemaProperty attribute, validation rules like NotBlank/Email/Url, nested objects, arrays of objects, enums, polymorphic types with anyOf, or the Validator class.