Azure Energy Data Services Skill
SkillCloud & infraExpert 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/partitioning, choosing tiers, securing auth/ACLs, deploying AKS geospatial, or fixing ingestion logs, 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 Databricks (use azure-databricks).
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Azure Energy Data Services Skill skill
What this skill tells your AI
The instructions your AI receives, as published by microsoftdocs/agent-skills in skills/azure-energy-data-services/SKILL.md and read by ahel’s review.
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), useread_filewith the specified lines. For categories with file links (e.g.,[security.md](security.md)), useread_fileon the linked reference file
IMPORTANT for Agent: If
metadata.generated_atis more than 3 months old, suggest the user pull the latest version from the repository. Ifmcp_microsoftdocstools 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_fetchwith query stringfrom=learn-agent-skill. Returns Markdown. - Fallback: Use
fetch_webpagewith query stringfrom=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-L65 | Securing Azure Data Manager for Energy: auth tokens, ACLs, encryption, legal tags, user/group entitlements, managed identities, private endpoints, and API Management access control. |
| Configuration | L66-L74 | Configuring ADME operations: monitoring metrics, data partitioning, CORS, audit logging, and milestone upgrade settings for secure, scalable data management. |
| Integrations & Coding Patterns | L75-L95 | Patterns and examples for integrating Azure Energy Data Services with analytics platforms, external data sources, DDMS APIs, logs/monitoring, and large file workflows. |
| Deployment | L96-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
Configuration
| Topic | URL |
|---|---|
| Reference monitoring metrics for Data Manager for Energy | https://learn.microsoft.com/en-us/azure/energy-data-services/concepts-monitor-data-reference |
| Add and manage data partitions in ADME | https://learn.microsoft.com/en-us/azure/energy-data-services/how-to-add-more-data-partitions |
| 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
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 |
Signals
- GitHub stars
- 742
- Forks
- 120
- Last commit
- Sep 2026
ahel review
S4info
community integration — published by microsoftdocs, not azure
Automated review, not a security audit. Ruleset v1.
Advanced
- Catalog kind
- skill
- Gateway key
azure-energy-data-services- Source
- github.com/microsoftdocs/agent-skills