Primitives

fai-azure-ai-foundry-expert

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.

• operational-excellence
• security
• cost-optimization
• responsible-ai

a11y-waf

Accessibility standards — WCAG 2.2 AA compliance, semantic HTML, ARIA roles/properties, keyboard navigation, focus management, color contrast, screen reader compatibility, and inclusive design patterns.

• responsible-ai
• reliability

agent-safety

AI agent safety standards — fail-closed defaults, least-privilege tool access, human-in-the-loop for destructive actions, prompt injection defense, budget controls, OWASP LLM Top 10 alignment, and governance audit trails for all agent workflows.

• security
• responsible-ai
• reliability

ai-prompt-safety-waf

AI prompt safety in application code — input sanitization, output validation, structured output enforcement, content filtering, token budget management, system message protection, and secure logging for LLM-integrated applications.

• responsible-ai
• security
• cost-optimization

azure-ai-document-intelligence-waf

Azure AI Document Intelligence standards — model selection, layout analysis, table/form extraction, custom models, batch processing, confidence thresholds, SDK usage, and Bicep deployment.

• reliability
• performance-efficiency
• cost-optimization
• security
• +1

azure-ai-language-waf

Azure AI Language standards — text analytics, NER, sentiment analysis, PII detection, summarization, CLU, custom text classification, healthcare NLP, SDK patterns, and batch processing.

• responsible-ai
• reliability
• performance-efficiency
• security
• +1

azure-ai-speech-waf

Azure AI Speech standards — STT (real-time + batch), TTS (neural voices, SSML, custom voice), speech translation, pronunciation assessment, speaker recognition, WebSocket streaming, SDK patterns, and latency optimization.

• performance-efficiency
• reliability
• security
• cost-optimization
• +1

deterministic-ai

Determinism standards — temperature=0+seed, structured output, validation pipeline, grounding checks.

• reliability
• responsible-ai

html-css-waf

HTML/CSS standards — semantic HTML, accessibility, 60-30-10 color rule, and responsive design.

• responsible-ai
• performance-efficiency

localization-waf

Localization standards — i18n key management, RTL support, pluralization, date/number formatting.

• responsible-ai
• operational-excellence

prompt-engineering

Prompt engineering standards — system message structure, few-shot patterns, output format enforcement.

• reliability
• responsible-ai

rai-bias-testing

Responsible AI bias testing — disaggregated metrics, diverse evaluation datasets, fairness benchmarks.

• responsible-ai

rai-content-safety

Responsible AI content safety — Azure Content Safety integration, filter thresholds, PII redaction.

• responsible-ai

responsible-ai-coding

Responsible AI coding — content safety integration, red team test coverage, bias metric collection.

• responsible-ai
• security

security-owasp

Comprehensive OWASP security standards for all code — covers Top 10 vulnerabilities, LLM-specific security (OWASP Top 10 for LLMs), input validation, output encoding, authentication, and AI-specific attack surfaces like prompt injection.

• security
• responsible-ai