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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 1

    fai-play-23-tuner

    Browser Agent tuner — screenshot resolution config, timeout calibration, retry strategy, domain allowlist management, and vision cost optimization.

    agents/fai-play-23-tuner.agent.md55 lines
    • cost-optimization
    • performance-efficiency
  • 🤖 agentsused by 2

    fai-play-dispatcher

    FAI play dispatcher — routes user requests to the correct solution play based on intent classification, understands all 101 plays and their domains, delegates to specialist agents.

    agents/fai-play-dispatcher.agent.md78 lines
    • cost-optimization
    • operational-excellence
  • 🤖 agentsused by 1

    fai-postgresql-expert

    PostgreSQL specialist — pgvector for embedding storage, HNSW/IVFFlat indexes, query optimization with EXPLAIN ANALYZE, connection pooling (PgBouncer), partitioning, and RAG vector store patterns.

    agents/fai-postgresql-expert.agent.md140 lines
    • performance-efficiency
    • reliability
  • 🤖 agentsused by 1

    fai-power-bi-expert

    Power BI specialist — star schema data modeling, DAX formulas, report design, DirectQuery vs Import, AI-powered analytics with Azure OpenAI integration, and performance optimization.

    agents/fai-power-bi-expert.agent.md117 lines
    • performance-efficiency
    • cost-optimization
  • 🤖 agentsused by 2

    fai-power-platform-expert

    Power Platform specialist — Power Apps (Canvas + Model-driven), Power Automate cloud flows, Dataverse, custom connectors, DLP policies, and Copilot Studio integration.

    agents/fai-power-platform-expert.agent.md133 lines
    • operational-excellence
    • cost-optimization
  • 🤖 agentsused by 2

    fai-prd-writer

    PRD writer — produces structured Product Requirements Documents with user personas, success metrics, AI-specific requirements (quality thresholds, safety), constraints, and acceptance criteria.

    agents/fai-prd-writer.agent.md130 lines
    • operational-excellence
    • responsible-ai
  • 🤖 agentsused by 2

    fai-product-manager

    AI product management specialist — requirements gathering, AI use case prioritization, evaluation metric design, go-to-market strategy, and responsible AI impact assessment.

    agents/fai-product-manager.agent.md133 lines
    • responsible-ai
    • cost-optimization
    • operational-excellence
  • 🤖 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-prompt-engineer

    Prompt engineering specialist — system message design, few-shot patterns, chain-of-thought, structured output schemas, anti-hallucination techniques, and evaluation-driven prompt optimization.

    agents/fai-prompt-engineer.agent.md150 lines
    • reliability
    • responsible-ai
    • cost-optimization
  • 🤖 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 1

    fai-qwik-expert

    Qwik framework specialist — resumability (zero hydration), lazy loading, QwikCity routing, Island architecture, and instant-on AI-powered web applications.

    agents/fai-qwik-expert.agent.md107 lines
    • performance-efficiency
    • cost-optimization
  • 🤖 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-red-team-expert

    AI red teaming specialist — prompt injection testing, jailbreak simulation, PyRIT automation, bias detection, adversarial dataset creation, and OWASP LLM Top 10 validation.

    agents/fai-red-team-expert.agent.md177 lines
    • 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
  • 🤖 agentsused by 1

    fai-remix-expert

    Remix framework specialist — nested routing, loaders/actions, progressive enhancement, streaming SSR, error boundaries, and AI-integrated full-stack patterns.

    agents/fai-remix-expert.agent.md140 lines
    • performance-efficiency
    • reliability
  • 🤖 agentsused by 3

    fai-responsible-ai-reviewer

    Responsible AI specialist — bias detection, fairness metrics, transparency requirements, EU AI Act compliance, content safety, groundedness evaluation, and AI governance frameworks.

    agents/fai-responsible-ai-reviewer.agent.md165 lines
    • responsible-ai
    • security
  • 🤖 agentsused by 1

    fai-ruby-expert

    Ruby 3.3+ specialist — pattern matching, Ractor concurrency, block DSL patterns, Rails 8, RuboCop standards, and AI API integration with httprb and ActiveJob.

    agents/fai-ruby-expert.agent.md106 lines
    • reliability
    • operational-excellence
  • 🤖 agentsused by 1

    fai-ruby-mcp-expert

    Ruby MCP server specialist — mcp-rb gem, block DSL tool definitions, Rails integration, idiomatic Ruby patterns, and stdio transport for AI tool development.

    agents/fai-ruby-mcp-expert.agent.md116 lines
    • reliability

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