azure-data-factory

Installation
SKILL.md

Azure Data Factory Skill

This skill provides expert guidance for Azure Data Factory. Covers troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, 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), 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
Troubleshooting L37-L90 Diagnosing and fixing ADF issues: connector/format errors, copy & data flow performance, pipelines/triggers, SHIR/SSIS IR problems, security/access, and interpreting failure logs.
Best Practices L91-L113 Performance, DataOps, and reliability best practices for ADF: tuning data flows/copy, optimizing sources/sinks/IR, handling schema drift/errors, and migrating data (HDFS, Netezza, S3) to Azure.
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Installs
62
GitHub Stars
540
First Seen
Mar 10, 2026