Source profileQuality 91/100

MicrosoftDocs/Agent-Skills/skills/microsoft-foundry-classic/SKILL.md

microsoft-foundry-classic

Expert knowledge for Microsoft Foundry Classic (aka Azure AI Foundry classic) development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring Foundry agents, routing Azure OpenAI models, integrating tools/RAG, securing access, or deploying hubs, and other Microsoft Foundry Classic related development tasks. Not for Microsoft Foundry (use microsoft

Source repository stars
720
Declared platforms
0
Static risk flags
1
Last source update
2026-08-17
Source checked
2026-08-28

Decision brief

What it does: where it fits

This skill provides expert guidance for Microsoft Foundry Classic. Covers troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. It combines local quick-reference…

Best for

  • Use when configuring Foundry agents, routing Azure OpenAI models, integrating tools/RAG, securing access, or deploying hubs, and other Microsoft Foundry Classic related development tasks.

Not for

  • Tasks that require unconfirmed production actions or broad system permissions.
  • Environments where the pinned source and install steps cannot be inspected.

Compatibility matrix

Platform support, with evidence labels

PlatformStatusEvidenceWhat to check
CodexNot declaredNo explicit evidencePortability before use
Claude CodeNot declaredNo explicit evidencePortability before use
CursorNot declaredNo explicit evidencePortability before use
Gemini CLINot declaredNo explicit evidencePortability before use
Open the compatibility checker

Installation

Inspect first. Install second.

The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.

Source-detected install commandSource
npx skills add https://github.com/MicrosoftDocs/Agent-Skills --skill "skills/microsoft-foundry-classic"
Safe inspection promptEditorial

Inspect the Agent Skill "microsoft-foundry-classic" from https://github.com/MicrosoftDocs/Agent-Skills/blob/c579bb4b37e7969ffc8bc071ca0f53048c3bfe41/skills/microsoft-foundry-classic/SKILL.md at commit c579bb4b37e7969ffc8bc071ca0f53048c3bfe41. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.

Workflow

What the source asks the agent to do

  1. 01

    How to Use This Skill

    IMPORTANT for Agent: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g., L35-L120), use readfile with the specified lines. For categories with file links (e.g., security.md), use readfile on the linked reference file

    Preferred: Use mcpmicrosoftdocs:microsoftdocsfetch with query string from=learn-agent-skill. Returns Markdown.Fallback: Use fetchwebpage with query string from=learn-agent-skill&accept=text/markdown. Returns Markdown.IMPORTANT for Agent: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g., L35-L120), use readfile with the specified lines. For categories with file links (e.g., security.md),…
  2. 02

    Category Index

    Review the “Category Index” section in the pinned source before continuing.

    Review and apply the “Category Index” source section.
  3. 03

    Troubleshooting

    Review the “Troubleshooting” section in the pinned source before continuing.

    Review and apply the “Troubleshooting” source section.
  4. 04

    Best Practices

    Review the “Best Practices” section in the pinned source before continuing.

    Review and apply the “Best Practices” source section.
  5. 05

    Decision Making

    Review the “Decision Making” section in the pinned source before continuing.

    Review and apply the “Decision Making” source section.

Permission review

Static risk signals and limitations

Network access

medium · line 298

The documentation includes network, browsing, or remote request actions.

| Call Azure OpenAI on Azure Search data via API | https://learn.microsoft.com/en-us/azure/foundry-classic/openai/references/azure-search |

Evidence record

Why each signal appears

EvidenceSourceComputedTestedEditorial
SignalValueEvidence typeMeaning
Quality score91/100ComputedDocumentation, specificity, maintenance, and trust rules
Repository stars720SourceRepository attention, not individual Skill quality
Compatibility0 platformsSourceDeclared in the catalog source record
Usage guideautomated source guideEditorialGenerated or reviewed according to the visible evidence level

Pinned source

Provenance and original SKILL.md

Repository
MicrosoftDocs/Agent-Skills
Skill path
skills/microsoft-foundry-classic/SKILL.md
Commit
c579bb4b37e7969ffc8bc071ca0f53048c3bfe41
License
CC-BY-4.0
Collected
2026-08-28
Default branch
main
View the original SKILL.md

Microsoft Foundry Classic Skill

This skill provides expert guidance for Microsoft Foundry Classic. Covers troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. It combines local quick-reference content with remote documentation fetching capabilities.

How to Use This Skill

IMPORTANT for Agent: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g., L35-L120), use read_file with the specified lines. For categories with file links (e.g., [security.md](security.md)), use read_file on the linked reference file

IMPORTANT for Agent: If metadata.generated_at is more than 3 months old, suggest the user pull the latest version from the repository. If mcp_microsoftdocs tools are not available, suggest the user install it: Installation Guide

This skill requires network access to fetch documentation content:

  • Preferred: Use mcp_microsoftdocs:microsoft_docs_fetch with query string from=learn-agent-skill. Returns Markdown.
  • Fallback: Use fetch_webpage with query string from=learn-agent-skill&accept=text/markdown. Returns Markdown.

Category Index

CategoryLinesDescription
TroubleshootingL37-L46Diagnosing and fixing Foundry classic issues: prompt flow compute, deployments/monitoring, private endpoints, Azure OpenAI (incl. fine-tuning), risks & safety alerts, and known portal bugs.
Best PracticesL47-L60Best practices for designing system/safety prompts, fine-tuning and using GPT/DeepSeek models, optimizing latency/throughput, and evaluating/operating Foundry chat apps in production
Decision MakingL61-L86Guides for choosing models, regions, deployment and billing options, sizing PTU, and planning migrations (Prompt Flow, hubs, APIs) and lifecycle for Foundry and Azure OpenAI workloads.
Architecture & Design PatternsL87-L94Designing multi-agent architectures, configuring Foundry Agent Service for resilience, and understanding model router behavior, failover, and disaster recovery strategies.
Limits & QuotasL95-L110Quotas, rate limits, and regional availability for Foundry agents and models (incl. Azure OpenAI/Claude), plus how to monitor, request, and increase deployment and throughput limits.
SecurityL111-L156Security, privacy, and compliance for Foundry: auth/RBAC, keys, networks, Azure Policy guardrails, content filters/PII, and secure use of models, tools, and Azure OpenAI.
ConfigurationL157-L208Configuring and operating Foundry classic: agent hosts, compute, storage, networking, monitoring, evaluation (RAG, safety, similarity), Azure OpenAI setup, tracing, and continuous quality tracking.
Integrations & Coding PatternsL209-L317Integrating Foundry and Azure OpenAI with external tools and data: search indexes, MCP/OpenAPI tools, Functions/Logic Apps, RAG/file search, assistants, realtime audio, fine-tuning, and SDK-based apps.
DeploymentL318-L339Planning and deploying Foundry hubs/models using Bicep, Terraform, CLI, managed/serverless compute, CI/CD pipelines, regions, and upgrading or integrating Azure OpenAI and Hugging Face models.

Troubleshooting

TopicURL
Troubleshoot Prompt Flow compute session issues in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/prompt-flow-troubleshoot
Troubleshoot Foundry deployments and monitoring issueshttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/troubleshoot-deploy-and-monitor
Troubleshoot Foundry private endpoint connection errorshttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/troubleshoot-secure-connection-project
Troubleshoot Azure OpenAI fine-tuning in Foundry classichttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/fine-tuning-troubleshoot
Monitor and troubleshoot Risks & Safety in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/risks-safety-monitor
Resolve known issues in Microsoft Foundry classic portalhttps://learn.microsoft.com/en-us/azure/foundry-classic/reference/foundry-known-issues

Best Practices

TopicURL
Design effective system messages for Azure OpenAIhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/concepts/advanced-prompt-engineering
Apply safety system message templates in Azure OpenAIhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/concepts/safety-system-message-templates
Author safety system messages for Azure OpenAIhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/concepts/system-message
Apply safety evaluation when fine-tuning Foundry modelshttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/fine-tuning-safety-evaluation
Fine-tune GPT-4 vision models with image datahttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/fine-tuning-vision
Optimize Azure OpenAI latency and throughput in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/latency
Apply best practices for Azure OpenAI On Your Datahttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/on-your-data-best-practices
Optimize Azure OpenAI predicted outputs for latencyhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/predicted-outputs
Operate Foundry provisioned throughput in productionhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/provisioned-get-started
Evaluate and improve Foundry-based chat apps with SDKhttps://learn.microsoft.com/en-us/azure/foundry-classic/tutorials/copilot-sdk-evaluate

Decision Making

TopicURL
Select Azure OpenAI models and regions for Foundry Agentshttps://learn.microsoft.com/en-us/azure/foundry-classic/agents/concepts/model-region-support
Decide when and how to fine-tune models in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/concepts/fine-tuning-overview
Compare Foundry models using benchmarks and leaderboardshttps://learn.microsoft.com/en-us/azure/foundry-classic/concepts/model-benchmarks
Manage lifecycle of managed compute Foundry modelshttps://learn.microsoft.com/en-us/azure/foundry-classic/concepts/model-retirement-managed-compute
Choose the right Azure resource type for Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/concepts/resource-types
Choose Microsoft Foundry deployment typeshttps://learn.microsoft.com/en-us/azure/foundry-classic/foundry-models/concepts/deployment-types
Select Azure-sold Foundry models by capabilityhttps://learn.microsoft.com/en-us/azure/foundry-classic/foundry-models/concepts/models-sold-directly-by-azure
Choose between GPT-5 and GPT-4.1 in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/foundry-models/how-to/model-choice-guide
Compare models with Foundry leaderboardshttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/benchmark-model-in-catalog
Plan and manage costs for Microsoft Foundry hubshttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/costs-plan-manage
Choose and configure Microsoft Foundry SDK endpointshttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/develop/sdk-overview
Migrate from hub-based to new Foundry projectshttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/migrate-project
Decide and plan migration from Prompt Flow to Agent Frameworkhttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/prompt-flow-migration-overview
Choose content streaming and filtering modes in Azure OpenAIhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/concepts/content-streaming
Plan migrations using Foundry model retirement schedulehttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/concepts/model-retirement-schedule
Plan around Foundry model lifecycle and supporthttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/concepts/model-retirements
Evaluate 2024 Azure OpenAI provisioned throughput updateshttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/concepts/provisioned-migration
Choose billing options for Foundry PTU deploymentshttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/concepts/provisioned-throughput-billing
Plan using your data with Azure OpenAI deploymentshttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/concepts/use-your-data
Size provisioned throughput units for Foundry workloadshttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/provisioned-throughput-sizing
Migrate from preview to GA Realtime API protocolhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/realtime-audio-preview-api-migration-guide
Decide migration path from stored completions to Responses APIhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/stored-completions-retirement

Architecture & Design Patterns

TopicURL
Design multi-agent systems with Foundry connected agentshttps://learn.microsoft.com/en-us/azure/foundry-classic/agents/how-to/connected-agents
Plan disaster recovery for Foundry Agent Servicehttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/agent-service-disaster-recovery
Recover Foundry Agent Service from resource and data losshttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/agent-service-operator-disaster-recovery
Recover Foundry Agent Service from platform outageshttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/agent-service-platform-disaster-recovery

Limits & Quotas

TopicURL
Review quotas and limits for Foundry Agent Servicehttps://learn.microsoft.com/en-us/azure/foundry-classic/agents/quotas-limits
Evaluate Foundry classic with regional limits and quotashttps://learn.microsoft.com/en-us/azure/foundry-classic/concepts/evaluation-regions-limits-virtual-network
Compare Claude model capabilities, quotas, and regions in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/foundry-models/concepts/claude-models
Reference quotas and limits for Foundry Modelshttps://learn.microsoft.com/en-us/azure/foundry-classic/foundry-models/quotas-limits
Manage and request quotas for Microsoft Foundry hub resourceshttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/hub-quota
Manage and increase model deployment quotas in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/quota
Understand Foundry provisioned throughput limits and quotashttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/concepts/provisioned-throughput
Use Azure OpenAI global batch processing quotashttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/batch
Use dynamic quota for Azure OpenAI deploymentshttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/dynamic-quota
Manage Azure OpenAI quota and rate limits in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/quota
Use reinforcement fine-tuning with Azure OpenAI reasoning modelshttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/reinforcement-fine-tuning
Reference Azure OpenAI quotas and limits in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/quotas-limits

Security

TopicURL
Configure Browser Automation tool securely for Foundry agentshttps://learn.microsoft.com/en-us/azure/foundry-classic/agents/how-to/tools-classic/browser-automation
Securely use Foundry Computer Use tool with agentshttps://learn.microsoft.com/en-us/azure/foundry-classic/agents/how-to/tools-classic/computer-use
Configure authentication and authorization for Microsoft Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/concepts/authentication-authorization-foundry
Configure customer-managed keys for Microsoft Foundry (classic)https://learn.microsoft.com/en-us/azure/foundry-classic/concepts/encryption-keys-portal
Configure customer-managed keys for Foundry hub projectshttps://learn.microsoft.com/en-us/azure/foundry-classic/concepts/hub-encryption-keys-portal
Configure RBAC for Microsoft Foundry hubs and projectshttps://learn.microsoft.com/en-us/azure/foundry-classic/concepts/hub-rbac-foundry
Configure guardrails for Azure-sold Foundry modelshttps://learn.microsoft.com/en-us/azure/foundry-classic/concepts/model-catalog-content-safety
Configure RBAC roles for Microsoft Foundry projectshttps://learn.microsoft.com/en-us/azure/foundry-classic/concepts/rbac-foundry
Understand vulnerability management for Microsoft Foundry imageshttps://learn.microsoft.com/en-us/azure/foundry-classic/concepts/vulnerability-management
Use default safety policies for Foundry Modelshttps://learn.microsoft.com/en-us/azure/foundry-classic/foundry-models/concepts/default-safety-policies
Create custom Azure Policies to restrict Foundry model deploymentshttps://learn.microsoft.com/en-us/azure/foundry-classic/foundry-models/how-to/configure-deployment-policies
Configure Microsoft Entra ID keyless auth for Foundry Modelshttps://learn.microsoft.com/en-us/azure/foundry-classic/foundry-models/how-to/configure-entra-id
Allow Foundry managed networks to access on-premises resourceshttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/access-on-premises-resources
Associate Foundry resources with a network security perimeterhttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/add-foundry-to-network-security-perimeter
Apply Azure Policy to govern Foundry hubs and projectshttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/azure-policy
Control Foundry model deployments with Azure Policyhttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/built-in-policy-model-deployment
Understand data handling and privacy in Foundry modelshttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/concept-data-privacy
Configure managed network isolation for Foundry hubshttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/configure-managed-network
Configure private link for secure Foundry projectshttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/configure-private-link
Create and manage a Microsoft Foundry hub securelyhttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/create-azure-ai-resource
Create a secure Microsoft Foundry hub with managed VNethttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/create-secure-ai-hub
Create custom Azure Policy definitions for Foundry resourceshttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/custom-policy-definition
Disable shared key access to Foundry hub storagehttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/disable-local-auth
Configure storage accounts and access for Foundry evaluationshttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/evaluations-storage-account
Configure Private Link for Microsoft Foundry hubshttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/hub-configure-private-link
Configure managed virtual network for Foundry projectshttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/managed-virtual-network
Use Azure Policy to govern Foundry model deploymentshttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/model-deployment-policy
Secure configuration for Foundry playground chat on your datahttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/secure-data-playground
Set up Azure Key Vault connection for Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/set-up-key-vault-connection
Use Content Credentials for Azure OpenAI imageshttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/concepts/content-credentials
Configure and use PII filtering in Foundry OpenAIhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/concepts/content-filter-personal-information
Understand default Guardrail safety policies in Azure OpenAIhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/concepts/default-safety-policies
Configure Azure OpenAI content filters and gatinghttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/content-filters
Configure Entra ID auth for Azure OpenAI in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/managed-identity
Secure Azure OpenAI with virtual networks and private endpointshttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/network
Add Azure OpenAI to a network security perimeterhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/network-security-perimeter
Apply Azure RBAC roles to Azure OpenAI resourceshttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/role-based-access-control
Configure custom block lists for Azure OpenAI content filteringhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/use-blocklists
Configure data privacy and security for Claude in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/responsible-ai/claude-models/data-privacy
Apply copyright commitment mitigations for Azure OpenAI in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/responsible-ai/openai/customer-copyright-commitment
Understand data privacy and security for Foundry Modelshttps://learn.microsoft.com/en-us/azure/foundry-classic/responsible-ai/openai/data-privacy
Apply limited access policy for Azure OpenAI in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/responsible-ai/openai/limited-access

Configuration

TopicURL
Configure and manage Foundry classic capability hostshttps://learn.microsoft.com/en-us/azure/foundry-classic/agents/concepts/capability-hosts
Configure standard agent resources for Foundry Agent Servicehttps://learn.microsoft.com/en-us/azure/foundry-classic/agents/concepts/standard-agent-setup
Monitor Foundry Agent Service with Azure Monitor and KQLhttps://learn.microsoft.com/en-us/azure/foundry-classic/agents/how-to/metrics
Connect and configure your own Azure resources for Foundry agentshttps://learn.microsoft.com/en-us/azure/foundry-classic/agents/how-to/use-your-own-resources
Configure private networking for Foundry Agent Servicehttps://learn.microsoft.com/en-us/azure/foundry-classic/agents/how-to/virtual-networks
Reference monitoring data for Foundry Agent Servicehttps://learn.microsoft.com/en-us/azure/foundry-classic/agents/reference/monitor-service
Configure and use built-in Foundry evaluatorshttps://learn.microsoft.com/en-us/azure/foundry-classic/concepts/built-in-evaluators
Configure agent evaluators for Azure AI agentshttps://learn.microsoft.com/en-us/azure/foundry-classic/concepts/evaluation-evaluators/agent-evaluators
Use Azure OpenAI graders for model evaluationhttps://learn.microsoft.com/en-us/azure/foundry-classic/concepts/evaluation-evaluators/azure-openai-graders
Create and configure custom evaluators in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/concepts/evaluation-evaluators/custom-evaluators
Configure general-purpose evaluators for generative AIhttps://learn.microsoft.com/en-us/azure/foundry-classic/concepts/evaluation-evaluators/general-purpose-evaluators
Configure RAG evaluators for relevance and groundednesshttps://learn.microsoft.com/en-us/azure/foundry-classic/concepts/evaluation-evaluators/rag-evaluators
Configure risk and safety evaluators in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/concepts/evaluation-evaluators/risk-safety-evaluators
Use textual similarity evaluators in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/concepts/evaluation-evaluators/textual-similarity-evaluators
Configure Foundry model content filters and gated changeshttps://learn.microsoft.com/en-us/azure/foundry-classic/foundry-models/how-to/configure-content-filters
Configure Foundry Models project connection settingshttps://learn.microsoft.com/en-us/azure/foundry-classic/foundry-models/how-to/configure-project-connection
Configure Azure Monitor for Foundry model deploymentshttps://learn.microsoft.com/en-us/azure/foundry-classic/foundry-models/how-to/monitor-models
Upgrade AI project to use Foundry model deploymentshttps://learn.microsoft.com/en-us/azure/foundry-classic/foundry-models/how-to/quickstart-ai-project
Select SDKs and languages for Foundry Modelshttps://learn.microsoft.com/en-us/azure/foundry-classic/foundry-models/supported-languages
Configure Microsoft Foundry classic with your own Azure Storagehttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/bring-your-own-azure-storage-foundry
Configure BYOS for Speech and Language in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/bring-your-own-azure-storage-speech-language-services
Set up continuous evaluation for AI agents in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/continuous-evaluation-agents
Configure and manage Foundry compute instanceshttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/create-manage-compute
Configure and manage Foundry prompt flow compute sessionshttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/create-manage-compute-session
Add and manage data in Foundry hub-based projectshttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/data-add
Configure cross-project access to serverless model APIshttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/deploy-models-serverless-connect
Create a Foundry hub via Azure ML SDK and CLIhttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/develop/create-hub-project-sdk
Configure tools and SDKs for Foundry classic developmenthttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/develop/install-cli-sdk
Generate synthetic and simulated data for Foundry evaluationhttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/develop/simulator-interaction-data
Trace and observe Foundry agents with OpenTelemetryhttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/develop/trace-agents-sdk
Enable tracing and feedback for prompt flow deploymentshttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/develop/trace-production-sdk
Hide Foundry preview features using Azure tagshttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/disable-preview-features
Create and use vector indexes for RAG in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/index-add
Configure continuous monitoring for Foundry AI applicationshttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/monitor-applications
Monitor quality and token usage for prompt flow appshttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/monitor-quality-safety
Configure and use Azure OpenAI v1 API in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/api-version-lifecycle
Enable and interpret Prompt Shields in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/concepts/content-filter-prompt-shields
Automate Azure OpenAI deployments and TPM quotahttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/automate-quota-deployments
Configure Azure Blob Storage for OpenAI Batchhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/batch-blob-storage
Configure and run Azure OpenAI model evaluationshttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/evaluations
Apply direct preference optimization to Azure OpenAI modelshttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/fine-tuning-direct-preference-optimization
Configure monitoring and logging for Azure OpenAIhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/monitor-openai
Configure network and access for On Your Datahttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/on-your-data-configuration
Configure prompt caching for Azure OpenAI in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/prompt-caching
Configure reproducible output for Azure OpenAI chatshttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/reproducible-output
Configure spillover traffic for Foundry provisioned deploymentshttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/spillover-traffic-management
Configure stored completions and distillation in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/stored-completions
Reference Azure OpenAI monitoring metrics and logshttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/monitor-openai-reference

Integrations & Coding Patterns

TopicURL
Connect Foundry agents to existing Azure AI Search indexeshttps://learn.microsoft.com/en-us/azure/foundry-classic/agents/how-to/tools-classic/azure-ai-search
Integrate Azure AI Search with Foundry classic agentshttps://learn.microsoft.com/en-us/azure/foundry-classic/agents/how-to/tools-classic/azure-ai-search-samples
Integrate Azure Functions as tools with Foundry Agent Servicehttps://learn.microsoft.com/en-us/azure/foundry-classic/agents/how-to/tools-classic/azure-functions
Use Azure Functions and Storage Queues with Foundry agentshttps://learn.microsoft.com/en-us/azure/foundry-classic/agents/how-to/tools-classic/azure-functions-samples
Use Bing Search grounding tool with code sampleshttps://learn.microsoft.com/en-us/azure/foundry-classic/agents/how-to/tools-classic/bing-code-samples
Configure Custom Bing Search grounding for agentshttps://learn.microsoft.com/en-us/azure/foundry-classic/agents/how-to/tools-classic/bing-custom-search
Use Bing Custom Search grounding in Foundry classic agentshttps://learn.microsoft.com/en-us/azure/foundry-classic/agents/how-to/tools-classic/bing-custom-search-samples
Ground Foundry agents with Bing Search resultshttps://learn.microsoft.com/en-us/azure/foundry-classic/agents/how-to/tools-classic/bing-grounding
Automate website tasks with Foundry Browser Automation toolhttps://learn.microsoft.com/en-us/azure/foundry-classic/agents/how-to/tools-classic/browser-automation-samples
Run Python code with Foundry Code Interpreter toolhttps://learn.microsoft.com/en-us/azure/foundry-classic/agents/how-to/tools-classic/code-interpreter
Use Computer Use tool with Azure AI Projects SDKhttps://learn.microsoft.com/en-us/azure/foundry-classic/agents/how-to/tools-classic/computer-use-samples
Configure deprecated Deep Research tool for agentshttps://learn.microsoft.com/en-us/azure/foundry-classic/agents/how-to/tools-classic/deep-research
Maintain classic deep research tool in Foundry agentshttps://learn.microsoft.com/en-us/azure/foundry-classic/agents/how-to/tools-classic/deep-research-samples
Integrate Foundry classic agents with Microsoft Fabric datahttps://learn.microsoft.com/en-us/azure/foundry-classic/agents/how-to/tools-classic/fabric
Configure and use Foundry file search toolhttps://learn.microsoft.com/en-us/azure/foundry-classic/agents/how-to/tools-classic/file-search
Upload files to Foundry file search from codehttps://learn.microsoft.com/en-us/azure/foundry-classic/agents/how-to/tools-classic/file-search-upload-files
Implement function calling with Foundry Agent Servicehttps://learn.microsoft.com/en-us/azure/foundry-classic/agents/how-to/tools-classic/function-calling
Connect Foundry agents to external MCP servershttps://learn.microsoft.com/en-us/azure/foundry-classic/agents/how-to/tools-classic/model-context-protocol
MCP server integration code samples for Foundry agentshttps://learn.microsoft.com/en-us/azure/foundry-classic/agents/how-to/tools-classic/model-context-protocol-samples
Configure OpenAPI tools and auth for Foundry agentshttps://learn.microsoft.com/en-us/azure/foundry-classic/agents/how-to/tools-classic/openapi-spec
Use OpenAPI-based tools with Foundry agents in codehttps://learn.microsoft.com/en-us/azure/foundry-classic/agents/how-to/tools-classic/openapi-spec-samples
Use SharePoint content as a tool in Foundry classic agentshttps://learn.microsoft.com/en-us/azure/foundry-classic/agents/how-to/tools-classic/sharepoint
Use SharePoint grounding tool with Foundry agentshttps://learn.microsoft.com/en-us/azure/foundry-classic/agents/how-to/tools-classic/sharepoint-samples
Trigger Foundry classic agents from Azure Logic Apps eventshttps://learn.microsoft.com/en-us/azure/foundry-classic/agents/how-to/triggers
Serverless API inference examples for Foundry Modelshttps://learn.microsoft.com/en-us/azure/foundry-classic/concepts/models-inference-examples
Call Foundry Responses API for text generationhttps://learn.microsoft.com/en-us/azure/foundry-classic/foundry-models/how-to/generate-responses
Use reasoning models with Foundry Models servicehttps://learn.microsoft.com/en-us/azure/foundry-classic/foundry-models/how-to/use-chat-reasoning
Deploy and call Claude models in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/foundry-models/how-to/use-foundry-models-claude
Deploy and use FLUX image models in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/foundry-models/how-to/use-foundry-models-flux
Use structured outputs with Foundry chat modelshttps://learn.microsoft.com/en-us/azure/foundry-classic/foundry-models/how-to/use-structured-outputs
Deploy and call DeepSeek reasoning models in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/foundry-models/tutorials/get-started-deepseek-r1
Configure project connections in Foundry classichttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/connections-add
Run local evaluations with Azure AI Evaluation SDKhttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/develop/evaluate-sdk
Integrate LangChain with Microsoft Foundry modelshttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/develop/langchain
Connect LangGraph and LangChain apps to Foundry agentshttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/develop/langchain-agents
Use LlamaIndex with Microsoft Foundry deploymentshttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/develop/llama-index
Run AI Red Teaming Agent in the cloud with Foundry SDKhttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/develop/run-ai-red-teaming-cloud
Run AI Red Teaming Agent locally with Azure AI SDKhttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/develop/run-scans-ai-red-teaming-agent
Use Semantic Kernel with Foundry model cataloghttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/develop/semantic-kernel
View OpenAI SDK traces with OpenTelemetry in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/develop/trace-application
Configure MCP server tools for Foundry agents in VS Codehttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/develop/vs-code-agents-mcp
Deploy and use CXRReportGen healthcare AI modelhttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/healthcare-ai/deploy-cxrreportgen
Deploy and invoke MedImageInsight embeddings modelhttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/healthcare-ai/deploy-medimageinsight
Use MedImageParse medical image segmentation modelshttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/healthcare-ai/deploy-medimageparse
Rebuild Prompt Flow workflows using Agent Frameworkhttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/how-to-migrate-prompt-flow-to-agent-framework
Create and manage hub-scoped connections in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/hub-connections-add
Migrate Azure AI Inference SDK apps to OpenAI SDKhttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/model-inference-to-openai-migration
Use image-to-text models from Foundry cataloghttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/use-image-models
Get started with Azure OpenAI audio generationhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/audio-completions-quickstart
Interpret Guardrail annotations for Azure OpenAI in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/concepts/content-filter-annotations
Format prompts with document embeddings for Guardrails in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/concepts/content-filter-document-embedding
Use groundedness detection for RAG in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/concepts/content-filter-groundedness
Apply protected material detection to LLM outputs in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/concepts/content-filter-protected-material
Create Azure OpenAI Assistants with tools in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/assistant
Implement Assistants function calling in Azure OpenAIhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/assistant-functions
Trigger Azure Logic Apps from Foundry Assistantshttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/assistants-logic-apps
Run code with Azure OpenAI Assistants Code Interpreterhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/code-interpreter
Use Codex CLI and VS Code with Azure OpenAIhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/codex
Implement Computer Use agents in Azure OpenAIhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/computer-use
Use Azure OpenAI image generation and editing APIshttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/dall-e
Run deep research using Azure OpenAI Responses APIhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/deep-research
Migrate from Azure.AI.OpenAI .NET 1.x beta to 2.xhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/dotnet-migration
Generate embeddings with Azure OpenAI in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/embeddings
Test fine-tuned models using Chat Completions and Evaluationshttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/fine-tune-test
Fine-tune Foundry models via Python, REST, or portalhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/fine-tuning
Fine-tune Azure OpenAI function calling in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/fine-tuning-functions
Implement function calling with Azure OpenAI in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/function-calling
Use Azure OpenAI vision-enabled chat models via APIhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/gpt-with-vision
Configure Azure OpenAI JSON mode responseshttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/json-mode
Migrate Azure OpenAI apps to OpenAI Python v1.xhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/migration
Migrate Azure OpenAI apps to OpenAI JavaScript v4https://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/migration-javascript
Integrate GPT Realtime audio via SIP in Azurehttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/realtime-audio-sip
Use Azure OpenAI GPT Realtime via WebRTChttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/realtime-audio-webrtc
Connect to GPT Realtime audio using WebSocketshttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/realtime-audio-websockets
Use Azure OpenAI Responses API in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/responses
Implement structured outputs with Azure OpenAI APIshttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/structured-outputs
Switch Python code between OpenAI and Azure OpenAIhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/switching-endpoints
Configure web_search tool with Azure Responses APIhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/web-search
Configure Azure OpenAI webhooks for API eventshttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/webhooks
Integrate Azure OpenAI fine-tuning with Weights & Biaseshttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/weights-and-biases-integration
Use Azure OpenAI v1 REST API in Foundry Modelshttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/latest
Use Azure OpenAI v1 REST API in Foundry Modelshttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/latest
Use Azure OpenAI v1 REST API in Foundry Modelshttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/latest
Use Azure OpenAI v1 REST API in Foundry Modelshttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/latest
Use Azure OpenAI v1 REST API in Foundry Modelshttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/latest
Use Azure OpenAI v1 REST API in Foundry Modelshttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/latest
Use Azure OpenAI v1 REST API in Foundry Modelshttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/latest
Use Azure OpenAI v1 REST API in Foundry Modelshttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/latest
Use Azure OpenAI v1 REST API in Foundry Modelshttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/latest
Use realtime audio events with Azure OpenAIhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/realtime-audio-reference
Implement GA realtime audio events in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/realtime-audio-reference-ga
Call Azure OpenAI image and audio REST APIshttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/reference
Integrate with Azure OpenAI preview REST APIshttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/reference-preview
Use Azure OpenAI v1 preview REST APIshttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/reference-preview-latest
Call Azure OpenAI on Azure Search data via APIhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/references/azure-search
Use Azure OpenAI with Azure Cosmos DB data APIshttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/references/cosmos-db
Integrate Azure OpenAI with Elasticsearch data via APIhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/references/elasticsearch
Use Azure OpenAI with MongoDB Atlas via APIhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/references/mongo-db
Call Azure OpenAI On Your Data via Python and RESThttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/references/on-your-data
Integrate Azure OpenAI with Pinecone vector datahttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/references/pinecone
Convert text to speech with Azure OpenAI voiceshttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/text-to-speech-quickstart
Fine-tune gpt-4o-mini on Azure OpenAI in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/tutorials/fine-tune
Transcribe speech with Azure OpenAI Whisperhttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/whisper-quickstart
Use Foundry SDK to deploy a model and chat apphttps://learn.microsoft.com/en-us/azure/foundry-classic/quickstarts/hub-get-started-code
Build a RAG chat app with Microsoft Foundry SDKhttps://learn.microsoft.com/en-us/azure/foundry-classic/tutorials/copilot-sdk-build-rag

Deployment

TopicURL
Evaluate deployment options for Foundry Modelshttps://learn.microsoft.com/en-us/azure/foundry-classic/concepts/deployments-overview
Plan organization-wide deployment of Microsoft Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/concepts/planning
Select Foundry model regions and deployment typeshttps://learn.microsoft.com/en-us/azure/foundry-classic/foundry-models/concepts/models-sold-directly-by-azure-region-availability
Deploy Foundry models with Azure CLI and Bicephttps://learn.microsoft.com/en-us/azure/foundry-classic/foundry-models/how-to/create-model-deployments
Deploy a Microsoft Foundry hub using Bicephttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/create-azure-ai-hub-template
Provision a Foundry hub and project with Terraformhttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/create-hub-terraform
Provision Microsoft Foundry classic resources with Terraformhttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/create-resource-terraform
Deploy models with managed compute in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/deploy-models-managed
Deploy Hugging Face Hub models to Foundry managed endpointshttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/deploy-models-managed-hugging-face
Deploy Foundry models to managed pay-as-you-go computehttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/deploy-models-managed-pay-go
Deploy models as serverless APIs in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/deploy-models-serverless
Run Foundry evaluations in Azure DevOps pipelineshttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/evaluation-azure-devops
Run Foundry evaluations in GitHub Actions pipelineshttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/evaluation-github-action
Deploy fine-tuned models via serverless API in Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/fine-tune-serverless
Deploy Foundry prompt flows as managed online endpointshttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/flow-deploy
Deploy and operate Agent Framework workflows on Azurehttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/how-to-deploy-migrated-agent-framework-workflow
Upgrade Azure OpenAI resources to Foundryhttps://learn.microsoft.com/en-us/azure/foundry-classic/how-to/upgrade-azure-openai
Deploy fine-tuned Azure OpenAI models in Foundry classichttps://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/fine-tuning-deploy
Check Microsoft Foundry feature availability by regionhttps://learn.microsoft.com/en-us/azure/foundry-classic/reference/region-support

Frequently asked questions

What to verify before installation and use

What does the microsoft-foundry-classic source document cover?

This skill provides expert guidance for Microsoft Foundry Classic. Covers troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. It combines local quick-reference…

How do I install microsoft-foundry-classic?

The source record exposes this install command: npx skills add https://github.com/MicrosoftDocs/Agent-Skills --skill "skills/microsoft-foundry-classic". Inspect the command and pinned source before running it.

Which permission-related actions were detected?

Static rules flagged network in the source; the page lists the matching lines and excerpts.

Alternatives

Compare before choosing

Computed 96156

open-edge-platform/edge-ai-libraries

chatqna-helm-deploy

Deploy Chat Question-and-Answer Core to Kubernetes using Helm (OpenVINO CPU, OpenVINO GPU, or Ollama), including values.yaml configuration, helm install/upgrade, deployment verification, uninstall, and translation from Docker Compose setup_env.sh variables into Helm override values. Use this skill when the user says "deploy chatqna core to kubernetes", "helm install chatqna-core", "configure values.yaml", "convert compose config to helm", or "translate setup_env.sh to chart values".

Computed 9564

Jamie-BitFlight/claude_skills

fastmcp-creator

Use when building, extending, or debugging FastMCP v3 Python MCP servers. Activates on FastMCP tool/resource/prompt creation, provider and transform implementation (CodeMode, Tool Search), auth setup (MultiAuth, PropelAuth, KeycloakProvider), client SDK usage, FastMCPApp and Generative UI server building, fastmcp-slim client-only installs, nginx reverse proxy deployment, Prefab Apps, OTEL observability, and testing. Grounded in local v3.3 docs — zero speculation.

Computed 9439,220

wshobson/agents

brand-landingpage

Brand-first landing page designer — runs a brand-identity interview (colors, typography, shape language), then generates and iterates on a polished landing page via Stitch with deployment-ready HTML. Use when the user asks to create, design, or build a landing page, homepage, or marketing page and has no established visual direction. Skip when they have a design mockup, need a dashboard or app UI, are working at component level, building a multi-page app, or restyling with known design tokens —

Computed 9432

anthony-chaudhary/fak

field-borrow

High-priority default "inspired by" workflow. Invoke proactively whenever an external product, repository, paper, standard, benchmark, release, issue, PR, roadmap, design discussion, or field practice could improve fak—not only on explicit borrow requests. Mine code, tests, docs, history, releases, open/closed issues, PRs, discussions, roadmaps, and provenance; date observations and source events; directly port/adapt when exact-source licensing permits; explore the spirit of promising proposed o