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fleet-deployment Skill

AI Agent SkillPythonOpen source

Deploy trained robot policies to edge fleets via FluxCD GitOps, image automation, and deployment gating Published by microsoft in physical-ai-toolchain.

Decision snapshot

Is this a fit?

Best for

Deployment, Design and media, Includes SKILL.md, Reusable instructions

Works with

Compatibility not yet detected.

Access

Permission behavior not yet detected.

Setup

Copy skill directory

Project health

2 months ago · MIT license

Considerations

No specific cautions were detected. Review the source and requested permissions before installing.

What is fleet-deployment Skill?

Deploy trained robot policies to edge fleets via FluxCD GitOps, image automation, and deployment gating Published by microsoft in physical-ai-toolchain. 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
49/100

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
  • Deployment
  • Design and media
  • Deployment use cases
  • Design and media use cases

Declared skill metadata

  • Source file: .github/skills/fleet-deployment/SKILL.md

These fields retain source and confidence evidence from the indexed SKILL.md.

Compatibility and setup

Copy skill directory
  • Install or run with Copy skill directory

When to use fleet-deployment Skill

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

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/physical-ai-toolchain
  • Skill file: .github/skills/fleet-deployment/SKILL.md

What it does

Deploy trained robot policies to edge fleets via FluxCD GitOps, image automation, and deployment gating

Skill instructions

Fleet Deployment Deploy trained robot policies to edge robot fleets using FluxCD GitOps pipelines, automated image updates, and deployment gating. Prerequisites | Tool | Requirement | |------|-------------| | kubectl | Authenticated to target cluster | | flux | FluxCD CLI 2.x | | az CLI | Azure authentication for ACR access | Deployment Workflow Step 1 — Bootstrap FluxCD bash fleet-deployment/gitops/bootstrap.sh Installs Flux components on the target cluster and configures Git source reconciliation. Step 2 — Configure image automation Define ImageRepository, ImagePolicy, and ImageUpdateAutomation resources in fleet-deployment/gitops/image-automation/. Step 3 — Set up deployment gating Configure gate criteria in fleet-deployment/gating/ to validate models before rollout. Step 4 — Deploy to fleet FluxCD reconciles cluster state from Git. New model images trigger automated manifest updates and gated rollout. Key Directories | Directory | Purpose | |-----------|---------| | fleet-deploymen

Verified compatibility and discovery

Frequently asked questions

What is fleet-deployment?

fleet-deployment is a open-source AI agent skill with Copy skill directory. Deploy trained robot policies to edge fleets via FluxCD GitOps, image automation, and deployment gating

Who is fleet-deployment best for?

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

How do I install fleet-deployment?

Install or run fleet-deployment using Copy skill directory. Check fleet-deployment for the latest setup command.

Is fleet-deployment actively maintained?

fleet-deployment may need a closer maintenance check before production use.

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Stars
94
Forks
48
Last commit
2 months ago
Last verified
Aug 30, 2026
Metadata fetched
Aug 30, 2026
Repository age
6 months
License
MIT

Project health auto-fetched from the source repository.

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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.

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