Azure Energy Data Services Skill

This skill provides expert guidance for Azure Energy Data Services. Covers troubleshooting, decision making, architecture & design patterns, 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

Category	Lines	Description
Troubleshooting	L35-L39	Diagnosing and fixing manifest ingestion failures in Azure Data Manager for Energy using Airflow logs, including log analysis steps and common error patterns.
Decision Making	L40-L45	Guidance on choosing ADME deployment tiers (Developer vs Standard) and checking which OSDU data/compute services and capabilities are available in each tier.
Architecture & Design Patterns	L46-L50	Guidance on architecting resilient ADME deployments in Azure Energy Data Services, including zone redundancy, disaster recovery strategies, and high-availability design patterns.
Security	L51-L64	Securing ADME: auth tokens, ACLs, encryption, legal tags, user/group entitlements, managed identities, private endpoints, API Management, and support access controls.
Configuration	L65-L73	Configuring Azure Data Manager for Energy: data partitions, analytics zone setup, CORS, audit logging, and milestone upgrade settings.
Integrations & Coding Patterns	L74-L94	Integrating Azure Energy Data Services with Databricks/Fabric, configuring external data/log export, and using DDMS/ACZ/EDS APIs and tools to read, write, and manage subsurface and well data.
Deployment	L95-L99	Guides for deploying Azure Energy Data Services components, including Geospatial Consumption Zone on AKS and the OSDU Admin UI for Azure Data Manager for Energy administration

Troubleshooting

Topic	URL
Troubleshoot manifest ingestion in Azure Data Manager for Energy using Airflow logs	https://learn.microsoft.com/en-us/azure/energy-data-services/troubleshoot-manifest-ingestion

Decision Making

Topic	URL
Choose between Developer and Standard ADME tiers	https://learn.microsoft.com/en-us/azure/energy-data-services/concepts-tier-details
Determine which OSDU services are available on ADME	https://learn.microsoft.com/en-us/azure/energy-data-services/osdu-services-on-adme

Architecture & Design Patterns

Topic	URL
Design resilient ADME deployments with zones and DR	https://learn.microsoft.com/en-us/azure/energy-data-services/reliability-energy-data-services

Security

Topic	URL
Use Customer Lockbox to control ADME support access	https://learn.microsoft.com/en-us/azure/energy-data-services/how-to-create-lockbox
Enable legal tags for restricted origin data in Azure Energy	https://learn.microsoft.com/en-us/azure/energy-data-services/how-to-enable-legal-tags-restricted-country-of-origin
Generate auth and refresh tokens for Azure Data Manager for Energy	https://learn.microsoft.com/en-us/azure/energy-data-services/how-to-generate-auth-token
Configure and update ACLs on ADME data records	https://learn.microsoft.com/en-us/azure/energy-data-services/how-to-manage-acls
Configure data security and encryption for Azure Data Manager for Energy	https://learn.microsoft.com/en-us/azure/energy-data-services/how-to-manage-data-security-and-encryption
Create and manage legal tags for ADME data	https://learn.microsoft.com/en-us/azure/energy-data-services/how-to-manage-legal-tags
Manage users and OSDU group entitlements in ADME	https://learn.microsoft.com/en-us/azure/energy-data-services/how-to-manage-users
Secure Azure Data Manager for Energy APIs with API Management	https://learn.microsoft.com/en-us/azure/energy-data-services/how-to-secure-apis
Create private endpoints for ADME with Azure Private Link	https://learn.microsoft.com/en-us/azure/energy-data-services/how-to-set-up-private-links
Configure managed identities for Azure Data Manager for Energy	https://learn.microsoft.com/en-us/azure/energy-data-services/how-to-use-managed-identity

Configuration

Topic	URL
Add and manage data partitions in ADME	https://learn.microsoft.com/en-us/azure/energy-data-services/how-to-add-more-data-partitions
Configure Analytics Consumption Zone for Azure Data Manager for Energy	https://learn.microsoft.com/en-us/azure/energy-data-services/how-to-enable-analytics-consumption-zone
Configure CORS policies for Azure Data Manager for Energy	https://learn.microsoft.com/en-us/azure/energy-data-services/how-to-enable-cors
Configure and use audit logs in Azure Data Manager for Energy	https://learn.microsoft.com/en-us/azure/energy-data-services/how-to-manage-audit-logs
Configure milestone upgrade settings for Azure Data Manager for Energy	https://learn.microsoft.com/en-us/azure/energy-data-services/how-to-manage-upgrade-settings

Integrations & Coding Patterns

Topic	URL
Integrate Azure Energy ACZ with Azure Databricks	https://learn.microsoft.com/en-us/azure/energy-data-services/how-to-connect-analytics-consumption-zone-to-databricks
Connect Azure Energy ACZ data to Microsoft Fabric	https://learn.microsoft.com/en-us/azure/energy-data-services/how-to-connect-analytics-consumption-zone-to-fabric
Enable External Data Services and Key Vault access	https://learn.microsoft.com/en-us/azure/energy-data-services/how-to-enable-external-data-services
Integrate Airflow task logs from ADME with Azure Monitor	https://learn.microsoft.com/en-us/azure/energy-data-services/how-to-integrate-airflow-logs-with-azure-monitor
Send ADME Elasticsearch logs to Azure Monitor	https://learn.microsoft.com/en-us/azure/energy-data-services/how-to-integrate-elastic-logs-with-azure-monitor
Export OSDU service logs from ADME to Azure Monitor	https://learn.microsoft.com/en-us/azure/energy-data-services/how-to-integrate-osdu-service-logs-with-azure-monitor
Register external data sources with ADME EDS	https://learn.microsoft.com/en-us/azure/energy-data-services/how-to-register-external-data-services
Upload large files via Azure Data Manager for Energy File service API	https://learn.microsoft.com/en-us/azure/energy-data-services/how-to-upload-large-files-using-file-service
Manage Analytics Consumption Zones via ACZ REST APIs	https://learn.microsoft.com/en-us/azure/energy-data-services/tutorial-analytics-consumption-zone-apis
Work with Petrel data via Petrel DDMS APIs	https://learn.microsoft.com/en-us/azure/energy-data-services/tutorial-petrel-ddms
Read reservoir data using Reservoir DDMS REST APIs	https://learn.microsoft.com/en-us/azure/energy-data-services/tutorial-reservoir-ddms-apis
Use Reservoir DDMS websocket endpoints for data	https://learn.microsoft.com/en-us/azure/energy-data-services/tutorial-reservoir-ddms-websocket
Call RAFS DDMS APIs for rock and fluid samples	https://learn.microsoft.com/en-us/azure/energy-data-services/tutorial-rock-and-fluid-samples-ddms
Call Seismic DDMS APIs with cURL	https://learn.microsoft.com/en-us/azure/energy-data-services/tutorial-seismic-ddms
Use sdutil CLI to interact with Seismic Store	https://learn.microsoft.com/en-us/azure/energy-data-services/tutorial-seismic-ddms-sdutil
Manage well records with Well Delivery DDMS APIs	https://learn.microsoft.com/en-us/azure/energy-data-services/tutorial-well-delivery-ddms
Use Wellbore DDMS APIs for well data	https://learn.microsoft.com/en-us/azure/energy-data-services/tutorial-wellbore-ddms

Deployment

Topic	URL
Deploy Geospatial Consumption Zone on AKS with Azure Data Manager for Energy	https://learn.microsoft.com/en-us/azure/energy-data-services/how-to-deploy-gcz
Deploy OSDU Admin UI for ADME administration	https://learn.microsoft.com/en-us/azure/energy-data-services/how-to-deploy-osdu-admin-ui

Files1

1 files · 18.2 KB

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Overall Score

78/100

Grade

B

Good

Safety

92

Quality

72

Clarity

82

Completeness

68

Summary

This skill provides expert guidance for Azure Energy Data Services development, covering troubleshooting, architecture, security, configuration, integrations, and deployment. It functions as a reference index with links to Microsoft Learn documentation, using MCP tools to fetch remote content. The skill has no local executable content, file writes, or credential handling.

Detected Capabilities

documentation retrievalnetwork request (mcp_microsoftdocs fetch)documentation indexlink reference

Trigger Keywords

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

azure energy data servicesadme troubleshootingosdu deploymentenergy data apisgeospatial consumption zoneseismic data integrationwell delivery ddmsanalytics consumption zone

Referenced Domains

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

github.comlearn.microsoft.com

Use Cases

Troubleshoot manifest ingestion failures in Azure Data Manager for Energy
Choose between Developer and Standard ADME deployment tiers
Design resilient and disaster-recovery-capable ADME deployments
Secure ADME with authentication, ACLs, encryption, and access controls
Configure ADME partitions, zones, CORS, and audit logging
Integrate ADME with Databricks, Fabric, and external data sources
Call DDMS and EDS APIs for well, seismic, and subsurface data
Deploy Geospatial Consumption Zone on AKS and OSDU Admin UI

Quality Notes

Well-organized category index with clear topic groupings and line range references for local sections
Provides fallback MCP tool options (mcp_microsoftdocs preferred, fetch_webpage fallback) with explicit query parameters
Includes important metadata check — alerts users if skill is >3 months old and suggests MCP tool installation
Scope is well-defined: explicitly excludes Azure Data Explorer, Synapse Analytics, Data Factory, and Databricks (directs to specific alternative skills)
All documentation links point to learn.microsoft.com with consistent URL structure
Clear instructions on which tool to use (preferred/fallback) and how to parse responses
Missing: specific error handling guidance for network failures, timeout handling, or MCP tool unavailability scenarios beyond the fallback mention
Missing: example queries or use case workflow to demonstrate when/how to fetch documentation

Model: claude-haiku-4-5-20251001Analyzed: Jun 26, 2026

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