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: This file may be large. Use the Category Index below to locate relevant sections, then use read_file with specific line ranges (e.g., L136-L144) to read the sections needed for the user's question
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 |
Security and access control in ADME: auth tokens, ACLs, encryption, legal tags, user/group entitlements, API protection, private endpoints, managed identities, and support access control. |
| Configuration |
L65-L72 |
Configuring Azure Data Manager for Energy: data partitioning, CORS rules, enabling Reservoir DDMS, and setting up/using audit logging for governance and access tracking. |
| Integrations & Coding Patterns |
L73-L90 |
Patterns and APIs for integrating ADME/OSDU with external data sources, DDMS domain services, large file upload, and exporting logs/metrics to Azure Monitor and other tools |
| Deployment |
L91-L95 |
Guides for deploying Azure Data Manager for Energy geospatial consumption zones and setting up the OSDU Admin UI for ADME administration and management |
Troubleshooting
Decision Making
Architecture & Design Patterns
Security
Configuration
Integrations & Coding Patterns
Deployment