Azure Open Datasets Skill

This skill provides expert guidance for Azure Open Datasets. Covers limits & quotas. 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
Limits & Quotas	L29-L32	Managing and troubleshooting non-Spark download limits for Azure Open Datasets, including throttling behavior, quotas, and strategies to avoid or handle rate limits

Limits & Quotas

Topic	URL
Handle Azure Open Datasets non-Spark download limits	https://learn.microsoft.com/en-us/azure/open-datasets/samples

Files1

1 files · 18.2 KB

Select a file to preview

Overall Score

48/100

Grade

C

Adequate

Grades are signals, not a certification. Always review a skill yourself before use.

Safety

72

Quality

35

Clarity

65

Completeness

28

Summary

This skill provides expert guidance for developing with Azure Open Datasets, focusing on limits, quotas, throttling behavior, and rate-limit handling. It directs agents to fetch remote documentation from Microsoft Learn using either the mcp_microsoftdocs tool or a fetch_webpage fallback, and references local line ranges in the skill file for quick lookup.

Detected Capabilities

network accessremote documentation fetchingmcp_microsoftdocs integrationmarkdown content retrieval

Trigger Keywords

Phrases that agents use to match this skill to user intent.

azure open datasetsdataset download limitsthrottling and quotasrate limit workaroundsnon-spark data loading

Risk Signals

INFO

References external Microsoft Learn documentation via network requests (mcp_microsoftdocs or fetch_webpage)

SKILL.md, lines 16-19, 23-24

INFO

Requires network connectivity to retrieve documentation content

SKILL.md, line 23

WARNING

Skill content references line ranges (L29-L32) but file does not contain referenced content

SKILL.md, Category Index table

Referenced Domains

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

github.comlearn.microsoft.com

Use Cases

Handle non-Spark dataset download limits
Troubleshoot Azure Open Datasets throttling
Implement retry logic for rate-limited requests
Understand quota constraints for data downloads
Work around rate limits in data pipelines

Quality Notes

Positive: Clear scope boundary—skill explicitly excludes related services (Azure Data Explorer, Synapse, Databricks, ML) with cross-references
Positive: Well-structured Category Index provides agents clear guidance on how to locate and fetch relevant sections
Positive: Fallback mechanism documented for scenarios where mcp_microsoftdocs is unavailable
Positive: Includes version staleness check—suggests pulling latest if metadata is >3 months old
Negative: Incomplete implementation—Category Index references content at L29-L32 but the skill file does not contain those lines; content appears to be a stub or incomplete generation
Negative: No edge cases documented (e.g., network failures, large dataset handling, retry behavior)
Negative: Single category (Limits & Quotas) is too narrow for a skill titled 'Azure Open Datasets' given description scope
Negative: No examples, code snippets, or concrete troubleshooting steps provided
Negative: The URL provided is generic (samples page) rather than specific documentation about limits and quotas

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

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