FAI Skills
Reusable capability modules — each a LEGO block.
agent-chain-configure
Orchestrate builder, reviewer, and tuner agent handoffs for solution plays — define roles, model routing, token budgets, and quality gates
api-rate-limit-configure
Configure API rate limiting, APIM throttling, and retry behavior for AI endpoints — absorb bursts, isolate noisy tenants, and control 429 retries
app-insights-configure
Configure Application Insights, OpenTelemetry, and KQL dashboards for AI workloads — trace latency, token usage, failures, and cost signals
audit-log-implement
Implement immutable audit logging, PII redaction, and Sentinel monitoring for AI systems — preserve evidence, prove access history, and detect suspicious activity
azure-openai-setup
Set up Azure OpenAI deployments, RBAC, and monitoring — harden inference endpoints and control latency, quota, and cost
backup-restore-ai
Back up AI data, vector indexes, and configuration state — recover prompts, conversations, and search assets after failures
bicep-module-create
Create reusable Bicep modules, parameter files, and registry packages — standardize Azure infrastructure and reduce deployment drift
canary-deploy-ai
Implement canary deployment, rollout gates, and rollback automation for AI changes — catch latency or quality regressions before full release
circuit-breaker-add
Add a circuit breaker, fallback routing, and health checks for Azure OpenAI calls — contain 429 and 503 cascades and preserve service
compliance-audit-run
Run AI compliance audits, collect Azure evidence, and track remediation — assess SOC 2, HIPAA, ISO 27001, and EU AI Act controls
embedding-model-select
Select embedding models, dimensions, and hybrid search settings for vector workloads - balance recall, storage cost, and migration risk
fai-agent-chain-configure
Configure builder→reviewer→tuner agent chain with handoff rules, model assignment, and evaluation gates.
fai-agent-governance
Review agent safety controls, budget limits, and human escalation paths - approve only agents that stay bounded, observable, and policy-compliant
fai-agentic-eval
Run evaluator-optimizer loops for agents and prompts - score outputs, revise weak instructions, and stop only when quality thresholds hold
fai-api-docs-generator
Generate API reference docs, examples, and error catalogs from OpenAPI or code annotations - keep endpoint docs accurate, testable, and publishable
fai-api-endpoint-generator
Generate typed REST API endpoints with Zod/Pydantic input validation, RFC 7807 error responses, OpenAPI annotation, and Managed Identity auth — eliminating schema drift and IDOR vulnerabilities.
fai-api-rate-limit-configure
Configure API rate limiting with Azure APIM policies, throttling tiers, and retry headers.
fai-app-insights-configure
Configure Application Insights with custom AI metrics, anomaly alerts, and operational dashboards.
fai-architecture-blueprint
Generate solution architecture blueprints with Mermaid service topology, component responsibility tables, data flow annotations, and WAF pillar mapping — bridging system design to implementation.
fai-architecture-decision-record
Generate Architecture Decision Records capturing context, forces, decision rationale, rejected alternatives, and consequences — preventing knowledge rot when teams diverge from original design intent.
fai-aspire-orchestration
Wire .NET Aspire AppHost for multi-container orchestration, automatic service discovery, distributed OpenTelemetry export, and local Azure emulator integration — eliminating hardcoded connection strings and manual container start order.
fai-aspnet-minimal-api
Scaffold ASP.NET Core Minimal API with typed route groups, FluentValidation, Managed Identity credentials, OpenAPI v3 via Scalar, Serilog structured logging, and health check endpoints — cutting AI service setup time from hours to minutes.
fai-audit-log-implement
Implement immutable audit logging with Azure Blob Storage, Sentinel integration, and compliance evidence.
fai-az-cost-optimize
Analyze Azure AI workload spend with Cost Management API queries, flag overprovisioned PTU, identify semantic cache gaps, right-size model SKUs, and produce actionable FinOps recommendations with ROI estimates.
fai-azure-ai-foundry-setup
Provision Azure AI Foundry Hub and Project with Managed Identity RBAC, private endpoint networking, connected Azure AI Services and Key Vault — ready for Prompt Flow evaluation pipelines and model fine-tuning.
fai-azure-ai-search-index
Create Azure AI Search vector indexes with HNSW profiles, semantic ranker configuration, hybrid BM25+vector search, field mappings for chunked RAG documents, and batch indexing pipelines — resolving recall failures and irrelevant chunk retrieval.
fai-azure-app-config
Wire Azure App Configuration with feature flag targeting filters, Key Vault reference chaining, .NET/Python SDK refresh polling, and blue/green rollout strategies — eliminating hard-coded config values and restart-required deployments.
fai-azure-architecture-review
Conduct Azure Well-Architected Framework reviews with scored pillar assessments, tiered finding severity, remediation priority tables, and an executive scorecard — turning ad-hoc architecture debates into structured, trackable decisions.
fai-azure-blob-lifecycle
Design and apply Azure Blob Storage lifecycle management policies with tiering to cool/archive, retention rules, and delete-after-N-days automation — reducing storage costs by 70% without manual archival work.
fai-azure-cognitive-services
Integrate Language, Speech, Vision, and Translator services with Managed Identity authentication, pre-built and custom models, content safety filters, and regional routing — enabling multi-modal AI without managing credentials.
fai-azure-container-registry
Configure Azure Container Registry with geo-replication across regions, image scanning for vulnerabilities, Managed Identity pull access, and OCI artifact support — enabling secure, distributed container delivery.
fai-azure-cosmos-modeling
Design Cosmos DB data models with optimal partition keys, Request Unit (RU) estimation, vector search embedding storage, and analytical workload isolation — exceeding relational DB performance on RAG and time-series queries.
fai-azure-data-explorer
Configure Azure Data Explorer for real-time telemetry ingestion with KQL queries, time-series aggregations, and interactive dashboards — analyzing AI workload metrics and traces at petabyte scale.
fai-azure-event-grid-setup
Configure Azure Event Grid for event-driven AI pipelines with topic subscriptions, dead-letter queues, retry policies, and role-based filtering — routing document uploads to embeddings to RAG queries without polling.
fai-azure-event-hubs-setup
Configure Azure Event Hubs for real-time data ingestion with stream processing, auto-scaling, Managed Identity auth, and consumer groups — enabling AI workload telemetry at millions of events/second.
fai-azure-functions-setup
Scaffold Azure Functions apps with HTTP/Event Hub/Service Bus triggers, input/output bindings, Managed Identity, Application Insights, and local development setup — enabling serverless AI microservices in minutes.
fai-azure-key-vault-setup
Configure Azure Key Vault with managed identities, RBAC, secret rotation policies, customer-managed keys (CMK), and app integration patterns — avoiding hardcoded secrets and enabling compliant AI workload credential management.
fai-azure-openai-integration
Deploy Azure OpenAI with model selection, PTU vs PAYG pricing tiers, content safety filters, token management strategies, and streaming patterns — maximizing cost efficiency and compliance for AI applications.
fai-azure-openai-setup
Set up Azure OpenAI Service with model deployments, RBAC, content filtering, and monitoring.
fai-azure-resource-graph
Query Azure Resource Graph across subscriptions with KQL for compliance audits, cost analysis, RBAC reviews, and cross-tenant resource discovery — enabling unified visibility into sprawling AI infrastructure.
fai-azure-resource-health
Diagnose Azure resource health issues via Resource Health events, platform metrics, activity logs, and one-click remediation workflows — preventing cascading AI infrastructure failures.
fai-azure-resource-visualizer
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fai-azure-role-selector
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fai-azure-service-bus-setup
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fai-azure-sql-setup
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fai-azure-static-web-apps-setup
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fai-azure-storage-patterns
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fai-backup-restore-ai
Set up backup and restore procedures for AI application data, model configs, and index state.
fai-basic-prompt-optimization
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fai-bicep-module-create
Create a reusable Bicep module with typed parameters, conditions, outputs, and AVM alignment.