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MicrosoftDocs/azure-data-manager-for-agri

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azure-data-manager-for-agri

Expert knowledge for Azure Data Manager for Agriculture development including limits & quotas, security, configuration, and integrations & coding patterns. Use when setting up BYOL creds/Private Link, ag data ingestion/IoT, AI/nutrient APIs, throttling, or Event Grid logs, and other Azure Data Manager for Agriculture related development tasks. Not for Azure Data Explorer (use azure-data-explorer), Azure Data Factory (use azure-data-factory), Azure Synapse Analytics (use azure-synapse-analytics), Azure Databricks (use azure-databricks).

v1.0Latest
New~1.5kUpdated Jun 26, 2026

Azure Data Manager for Agriculture Skill

This skill provides expert guidance for Azure Data Manager for Agriculture. Covers limits & quotas, security, configuration, and integrations & coding patterns. 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

Category Lines Description
Limits & Quotas L32-L36 Guidance on API throttling behavior and limits in Azure Data Manager for Agriculture, plus strategies to plan capacity, avoid rate-limit errors, and manage high-volume workloads.
Security L37-L42 Managing secure BYOL credential storage and configuring Azure Private Link private endpoints for Azure Data Manager for Agriculture services.
Configuration L43-L49 Configuring diagnostics and Event Grid for Data Manager for Agriculture, including enabling logs, choosing event schemas, and understanding sample event payloads.
Integrations & Coding Patterns L50-L64 Integrating external ag data sources (farm activities, sensors, weather, satellite imagery, ISVs), configuring ingestion jobs/IoT, and using AI/copilot and nutrient APIs with Azure Data Manager for Agriculture

Limits & Quotas

Topic URL
Plan and manage API throttling limits for Azure Data Manager for Agriculture https://learn.microsoft.com/en-us/azure/data-manager-for-agri/concepts-understanding-throttling

Security

Topic URL
Store and manage BYOL credentials securely in Azure Data Manager for Agriculture https://learn.microsoft.com/en-us/azure/data-manager-for-agri/concepts-byol-and-credentials
Create private endpoints for Azure Data Manager for Agriculture with Azure Private Link https://learn.microsoft.com/en-us/azure/data-manager-for-agri/how-to-set-up-private-links

Configuration

Topic URL
Enable and configure diagnostic logging for Azure Data Manager for Agriculture https://learn.microsoft.com/en-us/azure/data-manager-for-agri/how-to-set-up-audit-logs
Configure Azure Event Grid event schemas for Azure Data Manager for Agriculture https://learn.microsoft.com/en-us/azure/data-manager-for-agri/how-to-use-events
Review sample Azure Event Grid events for Azure Data Manager for Agriculture https://learn.microsoft.com/en-us/azure/data-manager-for-agri/sample-events

Integrations & Coding Patterns

Topic URL
Integrate and ingest farm activities data into Azure Data Manager for Agriculture https://learn.microsoft.com/en-us/azure/data-manager-for-agri/concepts-farm-operations-data
Configure Sentinel Hub satellite imagery ingestion for Azure Data Manager for Agriculture https://learn.microsoft.com/en-us/azure/data-manager-for-agri/concepts-ingest-satellite-imagery
Ingest sensor telemetry into Azure Data Manager for Agriculture https://learn.microsoft.com/en-us/azure/data-manager-for-agri/concepts-ingest-sensor-data
Integrate weather data providers with Azure Data Manager for Agriculture https://learn.microsoft.com/en-us/azure/data-manager-for-agri/concepts-ingest-weather-data
Use generative AI and copilot templates with Azure Data Manager for Agriculture https://learn.microsoft.com/en-us/azure/data-manager-for-agri/concepts-llm-apis
Configure farm activities ingestion jobs in Azure Data Manager for Agriculture https://learn.microsoft.com/en-us/azure/data-manager-for-agri/how-to-ingest-and-egress-farm-operations-data
Integrate Azure Data Manager for Agriculture with farm activities data providers https://learn.microsoft.com/en-us/azure/data-manager-for-agri/how-to-integrate-with-farm-ops-data-provider
Install and use ISV solutions with Azure Data Manager for Agriculture APIs https://learn.microsoft.com/en-us/azure/data-manager-for-agri/how-to-set-up-isv-solution
Push and consume sensor data as provider and customer in Azure Data Manager for Agriculture https://learn.microsoft.com/en-us/azure/data-manager-for-agri/how-to-set-up-sensor-as-customer-and-partner
Set up sensors as a customer in Azure Data Manager for Agriculture https://learn.microsoft.com/en-us/azure/data-manager-for-agri/how-to-set-up-sensors-customer
Onboard sensor partners and configure IoT Hub ingestion for Azure Data Manager for Agriculture https://learn.microsoft.com/en-us/azure/data-manager-for-agri/how-to-set-up-sensors-partner
Use plant tissue nutrient APIs in Azure Data Manager for Agriculture https://learn.microsoft.com/en-us/azure/data-manager-for-agri/how-to-use-nutrient-apis
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Overall Score

78/100

Grade

B

Good

Safety

82

Quality

76

Clarity

82

Completeness

70

Summary

This skill provides expert guidance for Azure Data Manager for Agriculture development. It covers API limits and quotas, security (BYOL credentials and Private Link), configuration (diagnostics and Event Grid), and integration patterns for agricultural data ingestion and AI APIs. The skill acts as a knowledge index with links to Microsoft Learn documentation, using network tools to fetch remote content on demand.

Detected Capabilities

network access (documentation fetch)web content retrieval (mcp_microsoftdocs or fetch_webpage)file reading (read_file for skill content references)

Trigger Keywords

Phrases that MCP clients use to match this skill to user intent.

azure data manager agriculturefarm data ingestionagricultural iot setupbyol credentials azureprivate link setupthrottling limits apisensor data telemetrysatellite imagery ingestionfarm operations data

Risk Signals

INFO

Network access to external documentation service (learn.microsoft.com)

Referenced Domains, mcp_microsoftdocs tool
INFO

Fallback to generic fetch_webpage tool if mcp_microsoftdocs unavailable

How to Use This Skill section

Referenced Domains

External domains referenced in skill content, detected by static analysis.

github.comlearn.microsoft.com

Use Cases

  • Set up BYOL credentials and Private Link for secure Azure Data Manager access
  • Configure API throttling and manage high-volume agricultural workloads
  • Enable diagnostic logging and Event Grid integration for audit and event tracking
  • Integrate external ag data sources including sensors, weather, satellite imagery, and IoT
  • Implement AI/copilot templates and nutrient API integrations
  • Onboard ISV solutions and farm operation data providers
  • Configure sensor partnerships and IoT Hub ingestion for real-time telemetry

Quality Notes

  • Skill is well-structured as a reference index with clear categorization (Limits & Quotas, Security, Configuration, Integrations)
  • Category Index table with line-range references enables agents to efficiently locate and retrieve specific sections
  • Explicit instructions for agents on tool usage (mcp_microsoftdocs preferred, fetch_webpage fallback) with query strings
  • Age-check guidance for metadata helps users identify stale documentation
  • Clear scope boundaries with deprecation references (excludes Data Explorer, Data Factory, Synapse, Databricks)
  • All 13 external documentation URLs are well-formed and point to Microsoft Learn official sources
  • Minimal local content — design is intentionally lightweight, deferring to authoritative remote documentation
  • No examples of actual instruction content provided (only index structure), which is acceptable for a reference-based skill
Model: claude-haiku-4-5-20251001Analyzed: Jun 26, 2026

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