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Expert knowledge for Azure Energy Data Services development including troubleshooting, decision making, architecture & design patterns, security, configuration, integrations & coding patterns, and deployment.
Passed 18 of 21 test cases with the skill, and 3 of 21 without it.
and 15 more in the full report
18 fixed3 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
One of 18 test cases the skill fixed. Same model, same prompt, with and without the skill.
I need to fetch official Microsoft Learn markdown content for an Azure Energy Data Services page. What specific query parameter must be appended to HTTP requests when fetching docs to identify the agent request origin?
| Checked | Without skill | With skill |
|---|---|---|
| Includes query parameter from=learn-agent-skill in documentation request URLs | Missed | Passed |
The instructions your model reads when the skill loads.
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.
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:
mcp_microsoftdocs:microsoft_docs_fetch with query string from=learn-agent-skill. Returns Markdown.fetch_webpage with query string from=learn-agent-skill&accept=text/markdown. Returns Markdown.| 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-L96 | Patterns and examples for integrating Azure Energy data (ACZ/ADME/DDMS) with Databricks, Fabric, Snowflake, external sources, logs/monitoring, and domain APIs (seismic, wells, reservoirs). |
| Deployment | L97-L100 | 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 |
| 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 |
| 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 |
| Topic | URL |
|---|
test cases passed, vs 3 / 21 without
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