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Primitive Explorer · 847 primitives

Primitives

Every authoring primitive across the FrootAI catalog. Agents, skills, instructions, hooks, plugins, workflows — searchable + faceted. Each one is MIT-licensed and runnable today.

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115 of 847 primitivesClear filters

  • 🤖 agentsused by 1

    fai-csharp-mcp-expert

    C# MCP server development specialist — ModelContextProtocol NuGet package, [McpServerTool] attributes, dependency injection, stdio/SSE transport, and Azure-integrated MCP tool development.

    agents/fai-csharp-mcp-expert.agent.md176 lines
    • security
    • reliability
    • performance-efficiency
  • 🤖 agentsused by 3

    fai-data-engineer

    Data engineering specialist for AI — RAG ingestion pipelines, document chunking, ETL/ELT patterns, PII detection with Presidio, data quality scoring, and Azure Data Factory orchestration.

    agents/fai-data-engineer.agent.md182 lines
    • reliability
    • operational-excellence
    • performance-efficiency
  • 🤖 agentsused by 1

    fai-deno-expert

    Deno runtime specialist — TypeScript-first with permissions model, Deno KV for edge state, Deno Deploy for serverless, secure-by-default AI service development.

    agents/fai-deno-expert.agent.md156 lines
    • security
    • performance-efficiency
  • 🤖 agentsused by 2

    fai-docker-expert

    Docker specialist — multi-stage builds, distroless images, GPU container support (CUDA/NVIDIA), ACR management, layer optimization, and container patterns for AI model serving.

    agents/fai-docker-expert.agent.md152 lines
    • performance-efficiency
    • security
  • 🤖 agentsused by 2

    fai-dotnet-maui-expert

    .NET MAUI cross-platform specialist — iOS, Android, Windows, macOS from single C# codebase, on-device AI inference (ONNX), MVVM architecture, and mobile-first AI application patterns.

    agents/fai-dotnet-maui-expert.agent.md147 lines
    • performance-efficiency
    • reliability
  • 🤖 agentsused by 2

    fai-dspy-expert

    DSPy framework specialist — declarative LM programs, signature-based modules, optimizers (BootstrapFewShot, MIPRO), assertions, metric-driven prompt optimization, and compiled prompt pipelines.

    agents/fai-dspy-expert.agent.md155 lines
    • performance-efficiency
    • cost-optimization
    • reliability
  • 🤖 agentsused by 2

    fai-elasticsearch-expert

    Elasticsearch specialist — index design, BM25 + kNN hybrid search, vector fields with HNSW, ILM lifecycle, cluster management, and RAG integration patterns.

    agents/fai-elasticsearch-expert.agent.md140 lines
    • performance-efficiency
    • reliability
    • security
  • 🤖 agentsused by 2

    fai-embedding-expert

    Embedding specialist — text-embedding-3 model selection, Matryoshka dimension reduction, batch embedding pipelines, similarity metrics, chunking strategies, and vector database integration for RAG.

    agents/fai-embedding-expert.agent.md150 lines
    • cost-optimization
    • performance-efficiency
  • 🤖 agentsused by 2

    fai-event-driven-expert

    Event-driven architecture specialist — Azure Event Grid, Service Bus, Event Hubs selection, event sourcing, CQRS, saga orchestration, and exactly-once processing patterns for AI pipelines.

    agents/fai-event-driven-expert.agent.md143 lines
    • reliability
    • performance-efficiency
    • cost-optimization
  • 🤖 agentsused by 2

    fai-genai-foundations-expert

    GenAI foundations expert — transformer architecture, tokenization, inference optimization (KV cache, speculative decoding), model taxonomy, prompt engineering theory, and evaluation benchmarks.

    agents/fai-genai-foundations-expert.agent.md123 lines
    • performance-efficiency
    • cost-optimization
  • 🤖 agentsused by 2

    fai-go-expert

    Go development specialist — idiomatic Go 1.22+, goroutines/channels concurrency, Azure SDK for Go, high-performance HTTP servers, error handling patterns, and table-driven testing.

    agents/fai-go-expert.agent.md183 lines
    • performance-efficiency
    • reliability
    • security
  • 🤖 agentsused by 1

    fai-go-mcp-expert

    Go MCP server specialist — mcp-go SDK, struct-based tool definitions, context-aware handlers, stdio transport, concurrent tool execution, and Azure service integration.

    agents/fai-go-mcp-expert.agent.md154 lines
    • performance-efficiency
    • reliability
  • 🤖 agentsused by 1

    fai-graphql-expert

    GraphQL specialist — schema design, resolver patterns, DataLoader N+1 prevention, subscriptions for AI streaming, federation, query complexity limits, and code generation.

    agents/fai-graphql-expert.agent.md175 lines
    • performance-efficiency
    • reliability
    • security
  • 🤖 agentsused by 2

    fai-graphrag-expert

    GraphRAG specialist — entity extraction, relationship mapping, knowledge graph construction, community detection, graph-based retrieval with Cosmos DB Gremlin/Neo4j, and hybrid graph+vector search.

    agents/fai-graphrag-expert.agent.md191 lines
    • performance-efficiency
    • reliability
  • 🤖 agentsused by 2

    fai-grpc-expert

    gRPC specialist — Protocol Buffers schema design, unary/streaming RPCs, interceptors for auth and tracing, load balancing, health checking, and high-performance AI microservice communication.

    agents/fai-grpc-expert.agent.md173 lines
    • performance-efficiency
    • reliability
  • 🤖 agentsused by 1

    fai-guidance-expert

    Microsoft Guidance specialist — constrained generation, token healing, regex patterns, guaranteed JSON/XML compliance, select/gen/each primitives, and grammar-enforced structured output.

    agents/fai-guidance-expert.agent.md123 lines
    • reliability
    • performance-efficiency
  • 🤖 agentsused by 1

    fai-htmx-expert

    htmx specialist — HTML-over-the-wire, hx-get/hx-post/hx-swap, server-sent events for AI streaming, progressive enhancement, and minimal-JavaScript AI chat interfaces.

    agents/fai-htmx-expert.agent.md133 lines
    • performance-efficiency
    • reliability
  • 🤖 agentsused by 1

    fai-kotlin-expert

    Kotlin specialist — coroutines with structured concurrency, Ktor HTTP server, Flow for reactive AI streaming, Jetpack Compose UI, and Azure SDK suspend-friendly patterns.

    agents/fai-kotlin-expert.agent.md114 lines
    • performance-efficiency
    • reliability
  • 🤖 agentsused by 1

    fai-kotlin-mcp-expert

    Kotlin MCP server specialist — coroutine-based tool handlers, Ktor server transport, sealed class tool definitions, Flow-based streaming, and Azure suspend-friendly integration.

    agents/fai-kotlin-mcp-expert.agent.md149 lines
    • performance-efficiency
    • reliability
  • 🤖 agentsused by 2

    fai-kubernetes-expert

    Kubernetes specialist — pod scheduling, GPU resource management, network policies, Helm charts, GitOps with Flux/ArgoCD, and production-grade AI workload orchestration on AKS.

    agents/fai-kubernetes-expert.agent.md174 lines
    • reliability
    • performance-efficiency
    • security
  • 🤖 agentsused by 2

    fai-llamaindex-expert

    LlamaIndex data framework specialist — document loaders, index types (VectorStore/Summary/Knowledge Graph), query engines, response synthesizers, and agent tool integration for RAG.

    agents/fai-llamaindex-expert.agent.md147 lines
    • performance-efficiency
    • reliability
  • 🤖 agentsused by 2

    fai-llm-landscape-expert

    LLM landscape expert — model families (GPT, Claude, Llama, Gemini, Phi), benchmarks (MMLU, HumanEval, MT-Bench), deployment types, quantization, and model selection frameworks.

    agents/fai-llm-landscape-expert.agent.md118 lines
    • cost-optimization
    • performance-efficiency
  • 🤖 agentsused by 1

    fai-mcp-expert

    MCP protocol expert — Model Context Protocol specification, tool/resource/prompt primitives, stdio/SSE transports, server development patterns, and MCP ecosystem integration across VS Code, Claude, and Cursor.

    agents/fai-mcp-expert.agent.md148 lines
    • security
    • reliability
    • performance-efficiency
  • 🤖 agentsused by 2

    fai-ml-engineer

    ML engineering specialist — model training pipelines, LoRA/QLoRA fine-tuning, evaluation metrics, MLOps with Azure AI Foundry, model registry, and serving optimization for production AI.

    agents/fai-ml-engineer.agent.md144 lines
    • cost-optimization
    • performance-efficiency
    • operational-excellence

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