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Comprehensive guidance for building, configuring, troubleshooting, and deploying Microsoft Foundry Classic agents and integrations.
Provides structured, actionable guidance and quick-reference links for Microsoft Foundry Classic (Azure AI Foundry classic). Covers troubleshooting, best practices for prompts and fine-tuning, architecture and deployment patterns, quotas and limits, security and networking, integrations (RAG, function-calling, realtime audio), and CI/CD deployment examples. The skill is designed to let an agent fetch targeted sections of Microsoft Learn docs when detailed references are required.
Use when you need authoritative, Microsoft Learn–sourced guidance about Foundry Classic: diagnosing prompt flow issues, planning deployments, selecting models/regions, securing hubs, configuring RAG and evaluators, or integrating platform tools like Logic Apps and Azure Functions. Trigger when a user asks about Foundry architecture, deployment, fine-tuning, or troubleshooting.
read_file and remote fetch tools; notes about freshness (metadata.generated_at) and preferred fetch tools.Best used with agents that can perform web fetches or use the mcp_microsoftdocs tool (e.g., Claude Code, Copilot/VS Code agents, agents with fetch_webpage capability).
A pure reference skill — no bundled scripts, just a massive categorized URL index to Microsoft Foundry Classic (Azure AI Foundry) documentation. Frontmatter is well-formed with clear triggers and compatibility notes. The body is essentially a link table organized by category (troubleshooting, security, deployment, etc.) with minimal actionable instructions beyond fetching external docs. Requires mcp_microsoftdocs or fetch_webpage tools to deliver actual value.
No security concerns — pure static reference content with no executable code. Duplicate entry for 'model-versions' in Decision Making table. Multiple duplicate entries for 'openai/latest' and 'reference-preview' in Integrations section (7+ repeats of same URL). Low code quality due to no actual code/instructions — it's a curated bookmark list, not an actionable skill. Architecture is decent for a doc-index but doesn't leverage scripts/ or references/ directories.