pipeline-migration Skill
Migrates Synapse Data Factory pipelines to Fabric Data Factory, turning linked services into Fabric connections, inlining datasets into activities, converting global parameters to Variable Libraries, and mapping SynapseNotebook to TridentNotebook. Use for pipeline JSON. For Synapse Spark notebook code use synapse-migra Published by microsoft in skills-for-fabric.
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Data analysis, Includes SKILL.md, Reusable instructions
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Copy skill directory
12 days ago · MIT license
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What is pipeline-migration Skill?
Migrates Synapse Data Factory pipelines to Fabric Data Factory, turning linked services into Fabric connections, inlining datasets into activities, converting global parameters to Variable Libraries, and mapping SynapseNotebook to TridentNotebook. Use for pipeline JSON. For Synapse Spark notebook code use synapse-migra Published by microsoft in skills-for-fabric. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Data analysis
- Data analysis use cases
Declared skill metadata
- Source file: skills/pipeline-migration/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use pipeline-migration Skill
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/skills-for-fabric
- Skill file: skills/pipeline-migration/SKILL.md
What it does
Migrates Synapse Data Factory pipelines to Fabric Data Factory, turning linked services into Fabric connections, inlining datasets into activities, converting global parameters to Variable Libraries, and mapping SynapseNotebook to TridentNotebook. Use for pipeline JSON. For Synapse Spark notebook code use synapse-migra
Skill instructions
Telemetry — MANDATORY. Every api.fabric.microsoft.com call must carry x-ms-fabric-skill: pipeline-migration (az rest: --headers "x-ms-fabric-skill=pipeline-migration"), including every LRO poll, fabriclro and retry. Snippets omit it — add it anyway. CRITICAL NOTES 1. To find workspace details (including its ID) from a workspace name: list all workspaces, then use JMESPath filtering 2. To find item details (including its ID) from workspace ID, item type, and item name: list all items of that type in that workspace, then use JMESPath filtering 3. Fabric does NOT have a "Dataset" item type — all dataset properties are inlined into activity typeProperties 4. Linked Services map to Fabric Connections — in pipeline activity JSON, referenceName on the activity's linkedService block uses the Fabric connection display name (not the connection GUID); the connection GUID is used only on Fabric REST API calls 5. Notebook activities change from SynapseNotebook to TridentNotebook and reference noteb
Verified compatibility and discovery
Frequently asked questions
What is pipeline-migration?
pipeline-migration is a open-source AI agent skill with Copy skill directory. Migrates Synapse Data Factory pipelines to Fabric Data Factory, turning linked services into Fabric connections, inlining datasets into activities, converting global parameters to Variable Libraries.
Who is pipeline-migration best for?
pipeline-migration is best for reusing agent instructions, scripts, and references, data analysis workflows.
How do I install pipeline-migration?
Install or run pipeline-migration using Copy skill directory. Check pipeline-migration for the latest setup command.
Is pipeline-migration actively maintained?
pipeline-migration may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
