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fabric-deploy Skill

AI Agent SkillPythonOpen source

The Engineer skill — deploys Fabric items in dependency-ordered waves and remediates issues found during validation. Use when user says "deploy", "create items", "run deployment", "fix deployment issues", "remediate", or after user sign-off is complete. Do NOT use for design (use fabric-design) or testing (use fabric-t Published by microsoft in fabric-task-flows.

What is fabric-deploy Skill?

The Engineer skill — deploys Fabric items in dependency-ordered waves and remediates issues found during validation. Use when user says "deploy", "create items", "run deployment", "fix deployment issues", "remediate", or after user sign-off is complete. Do NOT use for design (use fabric-design) or testing (use fabric-t Published by microsoft in fabric-task-flows. 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.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
41/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Testing
  • Deployment
  • Design and media
  • Writing
  • Testing use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use fabric-deploy Skill

  • Use it for testing.
  • Use it for deployment.
  • Use it for design and media.
  • Use it for writing.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/fabric-task-flows
  • Skill file: .github/skills/fabric-deploy/SKILL.md

What it does

The Engineer skill — deploys Fabric items in dependency-ordered waves and remediates issues found during validation. Use when user says "deploy", "create items", "run deployment", "fix deployment issues", "remediate", or after user sign-off is complete. Do NOT use for design (use fabric-design) or testing (use fabric-t

Skill instructions

⚠️ Artifacts-only mode: When deploymode is artifactsonly, this skill is NOT invoked — the pipeline runner handles this phase deterministically. The instructions below apply only when deploymode is live. Fabric Deployment ⚡ Pre-generated handoff: The runner writes deployment-handoff.md with every item in status: notstarted and <!-- AGENT: FILL -- markers before this skill is invoked, alongside deploy/workspace/, config.yml, the deploy script, and the taskflow JSON. Your job after running (or choosing to skip) deployment is to update each item's status to deployed / failed and replace every <!-- AGENT: FILL -- marker with real content. Deployment Mode Check the deploymode field in the agent prompt (set in pipeline-state.json): - live — User wants to deploy to a live Fabric workspace. Present the deploy script and guide them through running it. - artifactsonly (default) — No live deployment. Review generated artifacts and write the handoff with items in planned status. Instructions Step 1

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Frequently asked questions

What is fabric-deploy?

fabric-deploy is a open-source AI agent skill with Copy skill directory. The Engineer skill — deploys Fabric items in dependency-ordered waves and remediates issues found during validation.

Who is fabric-deploy best for?

fabric-deploy is best for reusing agent instructions, scripts, and references, testing workflows, deployment workflows, design and media workflows.

How do I install fabric-deploy?

Install or run fabric-deploy using Copy skill directory. Check fabric-deploy for the latest setup command.

Is fabric-deploy actively maintained?

fabric-deploy may need a closer maintenance check before production use.

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Stars
45
Forks
10
Last commit
2 months ago
Repository age
4 months
License
MIT

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