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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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  • 🤖 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 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 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 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
  • 🤖 agentsused by 2

    fai-performance-profiler

    Performance profiling specialist — latency analysis (P50/P95/P99), token optimization, GPU utilization profiling, bottleneck identification, cold start analysis, and AI pipeline performance tuning.

    agents/fai-performance-profiler.agent.md149 lines
    • performance-efficiency
    • cost-optimization
  • 🤖 agentsused by 2

    fai-production-patterns-expert

    Production AI patterns expert — hosting selection (Container Apps/AKS/Functions), APIM gateway patterns, streaming SSE, retry/circuit-breaker, health checks, and multi-region deployment for production AI workloads.

    agents/fai-production-patterns-expert.agent.md175 lines
    • reliability
    • performance-efficiency
    • cost-optimization
    • operational-excellence
  • 🤖 agentsused by 2

    fai-protobuf-expert

    Protocol Buffers specialist — proto3 schema design, backward compatible evolution, gRPC service definitions, code generation, and binary serialization for high-performance AI APIs.

    agents/fai-protobuf-expert.agent.md159 lines
    • performance-efficiency
    • operational-excellence
  • 🤖 agentsused by 2

    fai-python-expert

    Python development specialist — Python 3.12+, async/await patterns, Pydantic v2, FastAPI, pytest, type hints, Azure SDK, and production-grade AI application patterns.

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

    fai-python-mcp-expert

    Python MCP server specialist — FastMCP framework, @mcp.tool() decorators, async handlers, Pydantic input models, uv deployment, and Azure service integration for AI tools.

    agents/fai-python-mcp-expert.agent.md172 lines
    • security
    • reliability
    • performance-efficiency
  • 🤖 agentsused by 2

    fai-rag-architect

    Enterprise RAG architecture specialist — designs end-to-end retrieval-augmented generation pipelines with Azure AI Search, OpenAI embeddings, chunking strategies, grounding, citation, evaluation, and production deployment.

    agents/fai-rag-architect.agent.md144 lines
    • security
    • reliability
    • cost-optimization
    • performance-efficiency
  • 🤖 agentsused by 3

    fai-rag-expert

    RAG expert — advanced retrieval patterns (agentic, graph, multi-modal RAG), chunking strategies, hybrid search, re-ranking, evaluation metrics, and production RAG optimization.

    agents/fai-rag-expert.agent.md169 lines
    • reliability
    • performance-efficiency
    • cost-optimization
  • 🤖 agentsused by 2

    fai-ray-expert

    Ray distributed computing specialist — Ray Serve for model serving, Ray Tune for hyperparameter optimization, Ray Data for preprocessing, and distributed training/inference at scale.

    agents/fai-ray-expert.agent.md148 lines
    • performance-efficiency
    • cost-optimization
  • 🤖 agentsused by 2

    fai-react-expert

    React/Next.js specialist — React 19 Server Components, Suspense streaming for AI chat, App Router, Tailwind CSS, useActionState, and accessibility-first patterns.

    agents/fai-react-expert.agent.md183 lines
    • performance-efficiency
    • security
    • responsible-ai
  • 🤖 agentsused by 2

    fai-redis-expert

    Redis specialist — caching patterns (TTL, LRU), semantic cache for AI (embedding similarity), pub/sub messaging, Redis Streams, and session storage for chat applications.

    agents/fai-redis-expert.agent.md146 lines
    • performance-efficiency
    • cost-optimization
  • 🤖 agentsused by 2

    fai-refactoring-expert

    Code refactoring specialist — extract method, reduce cyclomatic complexity, improve testability, SOLID principles, design pattern application, and safe behavior-preserving transformations.

    agents/fai-refactoring-expert.agent.md155 lines
    • reliability
    • performance-efficiency

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