Plugin Claude Code
Plugin marketplace listing 12 plugins: frootai-deploy-infra-skills, frootai-evaluation-skills, frootai-security-skills, frootai-mcp-skills, frootai-configuration-skills.
Plugin Claude Code
Plugin marketplace listing 12 plugins: frootai-deploy-infra-skills, frootai-evaluation-skills, frootai-security-skills, frootai-mcp-skills, frootai-configuration-skills.
Instructions file GitHub Copilot
Instructions for frootai/frootai, covering frootai — copilot instructions, 🧬 mission dna, implementation plan sections tracker, section 25 status — april 6 website polish sprint and current website stats (april 6, 2026).
Instructions file GitHub Copilot
Cost optimization patterns — model routing, token budgets, right-sizing, caching, and FinOps practices aligned to Azure Well-Architected Framework.
Instructions file GitHub Copilot
Operational excellence patterns — CI/CD, observability, IaC, incident management, and deployment automation aligned to Azure Well-Architected Framework.
Instructions file GitHub Copilot
Performance efficiency patterns — caching, streaming, async processing, bundle optimization, and latency reduction aligned to Azure Well-Architected Framework.
Instructions file GitHub Copilot
Reliability patterns — retry policies, circuit breakers, health checks, graceful degradation, and resilience aligned to Azure Well-Architected Framework.
Instructions file GitHub Copilot
Responsible AI patterns — content safety, groundedness, fairness, transparency, bias detection, and human oversight aligned to Microsoft AI Principles.
Instructions file GitHub Copilot
Security patterns — Managed Identity, Key Vault, RBAC, content safety, prompt injection defense, and OWASP LLM Top 10 aligned to Azure Well-Architected Framework.
Instructions file CodexOpenCode
Instructions for frootai/frootai, covering agents.md — frootai cross-platform agent discovery, agent architecture, agent name, agent categories and 🔍 rag & search (15+ agents).
Agent
Total agents: 238 (169 standalone domain experts + 69 solution-play agents).
Agent
Agent-to-Agent (A2A) protocol specialist — Google's agent interop standard, AgentCard discovery, task lifecycle, streaming artifacts, push notifications, and multi-agent communication patterns.
Agent
Accessibility specialist — WCAG 2.2 AA/AAA compliance, ARIA 1.2 patterns, screen reader optimization, keyboard navigation, focus management, and inclusive design for AI chatbots and dashboards.
Agent
ADR writer — documents architecture decisions with MADR 3.0 template, context, alternatives, trade-off matrices, consequences, and WAF pillar impact analysis.
Agent
AG-UI protocol specialist — Agent-User Interaction standard, event-based rendering, streaming state updates, tool call lifecycle, and frontend integration for AI agent experiences.
Agent
Agentic retrieval specialist — autonomous source selection, iterative refinement with relevance scoring, multi-hop reasoning, query decomposition, and grounded answer synthesis with inline citations.
Agent
AI agents expert — ReAct loops, tool orchestration, memory tiers, multi-agent topologies (supervisor/pipeline/debate/swarm), agent determinism, and production guardrails for autonomous AI systems.
Agent
AI infrastructure expert — GPU compute sizing (A100/H100), VRAM estimation, model serving (vLLM/TensorRT-LLM/Triton), AKS node pool design, PTU vs PAYG cost modeling, and quantization strategies.
Agent
Angular 19+ specialist — signals-based reactivity, standalone components, SSR with hydration, zoneless change detection, control flow syntax, and AI chat component patterns.
Agent
API gateway architect — Azure APIM patterns, rate limiting, token-based throttling, multi-region load balancing, backend circuit breakers, and cost-aware routing for LLM endpoints.
Agent
Senior cloud-native solution architect — Azure Well-Architected Framework alignment, AI system design, multi-service integration, cost modeling, trade-off analysis, and production readiness assessment.
Agent
Microsoft AutoGen multi-agent framework — ConversableAgent, GroupChat topologies, code execution sandboxing, nested chat orchestration, human-in-the-loop patterns, and AG2 migration.
Agent
Azure AI Foundry specialist — Hub/Project resource model, Model Catalog deployment, Prompt Flow orchestration, evaluation pipelines with groundedness and safety metrics, fine-tuning workflows, and model lifecycle management across dev/staging/prod environments.
Agent
Azure AI Search specialist — HNSW vector indexes, hybrid keyword+vector retrieval, semantic ranker, integrated vectorization pipelines, custom skillsets, scoring profiles, and RAG optimization for production search experiences.
Agent
Azure Kubernetes Service specialist — GPU node pools (A100/H100), NVIDIA device plugin, model serving with vLLM/TGI/Triton, HPA/KEDA autoscaling, and production AI inference workload patterns.