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MicrosoftDocs/azure-open-datasets

MicrosoftDocs

azure-open-datasets

Expert knowledge for Azure Open Datasets development including limits & quotas. Use when handling non-Spark dataset downloads, throttling behavior, quota limits, retry logic, or rate-limit workarounds, and other Azure Open Datasets related development tasks. Not for Azure Data Explorer (use azure-data-explorer), Azure Synapse Analytics (use azure-synapse-analytics), Azure Databricks (use azure-databricks), Azure Machine Learning (use azure-machine-learning).

v1.0Latest
New~517Updated Jun 26, 2026

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

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Overall Score

48/100

Grade

C

Adequate

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 MCP clients 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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