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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-14-tuner

    Cost-Optimized AI Gateway tuner — semantic cache threshold calibration, routing complexity boundaries, token budget tiers, rate limits, and cost optimization analysis.

    agents/fai-play-14-tuner.agent.md55 lines
    • cost-optimization
    • performance-efficiency
  • 🤖 agentsused by 1

    fai-play-15-tuner

    Document Processing tuner — GPT-4o Vision resolution settings, extraction confidence calibration, table detection thresholds, chart parsing config, and batch performance optimization.

    agents/fai-play-15-tuner.agent.md55 lines
    • cost-optimization
    • performance-efficiency
  • 🤖 agentsused by 1

    fai-play-17-builder

    AI Observability builder — Application Insights distributed tracing, KQL query library for AI metrics, Azure Workbooks dashboards, alerting rules, and FinOps telemetry.

    agents/fai-play-17-builder.agent.md45 lines
    • operational-excellence
    • cost-optimization
    • reliability
  • 🤖 agentsused by 1

    fai-play-17-tuner

    AI Observability tuner — Log Analytics commitment tier selection, sampling rate config, alert threshold calibration, dashboard refresh optimization, and retention policy tuning.

    agents/fai-play-17-tuner.agent.md55 lines
    • cost-optimization
    • operational-excellence
  • 🤖 agentsused by 1

    fai-play-18-builder

    Prompt Optimization builder — prompt versioning with semantic versions, A/B testing framework, Azure Prompt Flow, template engine with variable injection, and evaluation-driven iteration.

    agents/fai-play-18-builder.agent.md57 lines
    • performance-efficiency
    • cost-optimization
    • reliability
  • 🤖 agentsused by 1

    fai-play-18-tuner

    Prompt Optimization tuner — system message clarity, few-shot example selection, A/B test config, template variable defaults, and prompt cost-quality trade-off analysis.

    agents/fai-play-18-tuner.agent.md56 lines
    • cost-optimization
    • performance-efficiency
  • 🤖 agentsused by 1

    fai-play-19-builder

    Edge AI builder — Phi-4 on-device inference, ONNX quantization (INT4/INT8), Azure IoT Hub fleet management, offline-first architecture, and cloud fallback patterns.

    agents/fai-play-19-builder.agent.md45 lines
    • reliability
    • performance-efficiency
    • cost-optimization
  • 🤖 agentsused by 1

    fai-play-19-tuner

    Edge AI tuner — quantization level selection, on-device latency optimization, sync schedule config, cloud fallback thresholds, and per-device cost analysis.

    agents/fai-play-19-tuner.agent.md56 lines
    • cost-optimization
    • performance-efficiency
  • 🤖 agentsused by 1

    fai-play-20-tuner

    Real-Time Analytics tuner — window size optimization, anomaly threshold calibration, baseline window selection, alert severity rules, and streaming cost analysis.

    agents/fai-play-20-tuner.agent.md55 lines
    • cost-optimization
    • performance-efficiency
  • 🤖 agentsused by 1

    fai-play-21-tuner

    Agentic RAG tuner — iteration depth config, source weight optimization, reflection threshold calibration, citation requirements, and per-query cost analysis.

    agents/fai-play-21-tuner.agent.md56 lines
    • cost-optimization
    • performance-efficiency
  • 🤖 agentsused by 1

    fai-play-22-tuner

    Swarm Orchestration tuner — topology selection, agent count optimization, consensus config, memory TTL calibration, and per-agent budget allocation.

    agents/fai-play-22-tuner.agent.md55 lines
    • cost-optimization
    • performance-efficiency
  • 🤖 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
  • 🤖 agents

    fai-play-lifecycle

    FAI play lifecycle manager — handles play initialization (scaffold file structure), Bicep deployment, evaluation quality gates, and config tuning for any of the 101 solution plays.

    agents/fai-play-lifecycle.agent.md158 lines
    • operational-excellence
    • reliability
    • cost-optimization
  • 🤖 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-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 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-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

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