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Azure Energy Data Services

Organization
MicrosoftDocs
azure-energy-data-services

Expert knowledge for Azure Energy Data Services development including troubleshooting, decision making, architecture & design patterns, security, configuration, integrations & coding patterns, and deployment. Use when configuring ADME metrics/partitions, choosing tiers, securing auth/ACLs/legal tags, or integrating ACZ/DDMS with Databricks/Fabric, and other Azure Energy Data Services related development tasks. Not for Azure Data Explorer (use azure-data-explorer), Azure Synapse Analytics (use azure-synapse-analytics), Azure Data Factory (use azure-data-factory), Azure Data Manager for Agriculture (use azure-data-manager-for-agri).

Overview

PublisherMicrosoftDocs
RepositoryAgent-Skills
Skill nameazure-energy-data-services
Stars
778
Forks
126
Bundled files
Instructions only
LicenseCC-BY-4.0
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by MicrosoftDocs on GitHub. Read the source before you install it.

Installation

Install the Azure Energy Data Services AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-energy-data-services
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git /tmp/Agent-Skills
mkdir -p .claude/skills
cp -r /tmp/Agent-Skills/skills/azure-energy-data-services .claude/skills/azure-energy-data-services
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Azure Energy Data Services in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Azure Energy Data Services on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Azure Energy Data Services is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

CategoryLinesDescription
TroubleshootingL35-L39Diagnosing and fixing manifest ingestion failures in Azure Data Manager for Energy using Airflow logs, including log analysis steps and common error patterns.
Decision MakingL40-L45Guidance on choosing ADME deployment tiers (Developer vs Standard) and checking which OSDU data/compute services and capabilities are available in each tier.
Architecture & Design PatternsL46-L50Guidance on architecting resilient ADME deployments in Azure Energy Data Services, including zone redundancy, disaster recovery strategies, and high-availability design patterns.
SecurityL51-L65Securing Azure Data Manager for Energy: auth tokens, ACLs, encryption, legal tags, user/group entitlements, managed identities, private endpoints, and API Management access control.
ConfigurationL66-L74Configuring ADME operations: monitoring metrics, data partitioning, CORS, audit logging, and milestone upgrade settings for secure, scalable data management.
Integrations & Coding PatternsL75-L96Patterns and examples for integrating Azure Energy data (ACZ/ADME/DDMS) with Databricks, Fabric, Snowflake, external sources, logs/monitoring, and domain APIs (seismic, wells, reservoirs).
DeploymentL97-L100Guides 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

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

Decision Making

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

Architecture & Design Patterns

TopicURL
Design resilient ADME deployments with zones and DRhttps://learn.microsoft.com/en-us/azure/energy-data-services/reliability-energy-data-services

Security

TopicURL
Use Customer Lockbox to control ADME support accesshttps://learn.microsoft.com/en-us/azure/energy-data-services/how-to-create-lockbox
Enable Analytics Consumption Zone with managed identity and storagehttps://learn.microsoft.com/en-us/azure/energy-data-services/how-to-enable-analytics-consumption-zone
Enable legal tags for restricted origin data in Azure Energyhttps://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 Energyhttps://learn.microsoft.com/en-us/azure/energy-data-services/how-to-generate-auth-token
Configure and update ACLs on ADME data recordshttps://learn.microsoft.com/en-us/azure/energy-data-services/how-to-manage-acls
Configure data security and encryption for Azure Data Manager for Energyhttps://learn.microsoft.com/en-us/azure/energy-data-services/how-to-manage-data-security-and-encryption
Create and manage legal tags for ADME datahttps://learn.microsoft.com/en-us/azure/energy-data-services/how-to-manage-legal-tags
Manage users and OSDU group entitlements in ADMEhttps://learn.microsoft.com/en-us/azure/energy-data-services/how-to-manage-users
Secure Azure Data Manager for Energy APIs with API Managementhttps://learn.microsoft.com/en-us/azure/energy-data-services/how-to-secure-apis
Create private endpoints for ADME with Azure Private Linkhttps://learn.microsoft.com/en-us/azure/energy-data-services/how-to-set-up-private-links
Configure managed identities for Azure Data Manager for Energyhttps://learn.microsoft.com/en-us/azure/energy-data-services/how-to-use-managed-identity

Configuration

TopicURL
Reference monitoring metrics for Data Manager for Energyhttps://learn.microsoft.com/en-us/azure/energy-data-services/concepts-monitor-data-reference
Add and manage data partitions in ADMEhttps://learn.microsoft.com/en-us/azure/energy-data-services/how-to-add-more-data-partitions
Configure CORS policies for Azure Data Manager for Energyhttps://learn.microsoft.com/en-us/azure/energy-data-services/how-to-enable-cors
Configure and use audit logs in Azure Data Manager for Energyhttps://learn.microsoft.com/en-us/azure/energy-data-services/how-to-manage-audit-logs
Configure milestone upgrade settings for Azure Data Manager for Energyhttps://learn.microsoft.com/en-us/azure/energy-data-services/how-to-manage-upgrade-settings

Integrations & Coding Patterns

TopicURL
Integrate Azure Energy ACZ with Azure Databrickshttps://learn.microsoft.com/en-us/azure/energy-data-services/how-to-connect-analytics-consumption-zone-to-databricks
Connect Azure Energy ACZ data to Microsoft Fabrichttps://learn.microsoft.com/en-us/azure/energy-data-services/how-to-connect-analytics-consumption-zone-to-fabric
Connect Azure Energy Analytics data to Snowflakehttps://learn.microsoft.com/en-us/azure/energy-data-services/how-to-connect-analytics-consumption-zone-to-snowflake
Enable External Data Services and Key Vault accesshttps://learn.microsoft.com/en-us/azure/energy-data-services/how-to-enable-external-data-services
Integrate Airflow task logs from ADME with Azure Monitorhttps://learn.microsoft.com/en-us/azure/energy-data-services/how-to-integrate-airflow-logs-with-azure-monitor
Send ADME Elasticsearch logs to Azure Monitorhttps://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 Monitorhttps://learn.microsoft.com/en-us/azure/energy-data-services/how-to-integrate-osdu-service-logs-with-azure-monitor
Register external data sources with ADME EDShttps://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 APIhttps://learn.microsoft.com/en-us/azure/energy-data-services/how-to-upload-large-files-using-file-service
Call Analytics Consumption Zone management APIs with cURLhttps://learn.microsoft.com/en-us/azure/energy-data-services/tutorial-analytics-consumption-zone-apis
Work with Petrel data via Petrel DDMS APIshttps://learn.microsoft.com/en-us/azure/energy-data-services/tutorial-petrel-ddms
Read reservoir data using Reservoir DDMS REST APIshttps://learn.microsoft.com/en-us/azure/energy-data-services/tutorial-reservoir-ddms-apis
Use Reservoir DDMS websocket endpoints for datahttps://learn.microsoft.com/en-us/azure/energy-data-services/tutorial-reservoir-ddms-websocket
Call RAFS DDMS APIs for rock and fluid sampleshttps://learn.microsoft.com/en-us/azure/energy-data-services/tutorial-rock-and-fluid-samples-ddms
Call Seismic DDMS APIs with cURLhttps://learn.microsoft.com/en-us/azure/energy-data-services/tutorial-seismic-ddms
Use sdutil CLI to interact with Seismic Storehttps://learn.microsoft.com/en-us/azure/energy-data-services/tutorial-seismic-ddms-sdutil
Manage well records with Well Delivery DDMS APIshttps://learn.microsoft.com/en-us/azure/energy-data-services/tutorial-well-delivery-ddms
Use Wellbore DDMS APIs for well datahttps://learn.microsoft.com/en-us/azure/energy-data-services/tutorial-wellbore-ddms

Deployment

TopicURL
Deploy Geospatial Consumption Zone on AKS with Azure Data Manager for Energyhttps://learn.microsoft.com/en-us/azure/energy-data-services/how-to-deploy-gcz

Frequently asked questions

What does the Azure Energy Data Services AI skill do?

Expert knowledge for Azure Energy Data Services development including troubleshooting, decision making, architecture & design patterns, security, configuration, integrations & coding patterns, and deployment. Use when configuring ADME metrics/partitions, choosing tiers, securing auth/ACLs/legal tags, or integrating ACZ/DDMS with Databricks/Fabric, and other Azure Energy Data Services related development tasks. Not for Azure Data Explorer (use azure-data-explorer), Azure Synapse Analytics (use azure-synapse-analytics), Azure Data Factory (use azure-data-factory), Azure Data Manager for Agric...

Why use Azure Energy Data Services on TypingMind?

Because you install it once and use it with any model. Azure Energy Data Services is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Azure Energy Data Services in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-energy-data-services. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Azure Energy Data Services?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Azure Energy Data Services?

As many as you like. As long as a model supports skills, you can use Azure Energy Data Services with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Azure Energy Data Services AI skill free?

Yes. It is published on GitHub by MicrosoftDocs under the CC-BY-4.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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