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.
Filter
265 of 847 primitivesClear filters
- 🤖 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
…