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fleet-intelligence Skill

AI Agent SkillPythonOpen source

Monitor robot fleet telemetry via Azure IoT Operations, drift detection, Grafana dashboards, and Fabric analytics Published by microsoft in physical-ai-toolchain.

What is fleet-intelligence Skill?

Monitor robot fleet telemetry via Azure IoT Operations, drift detection, Grafana dashboards, and Fabric analytics 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.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Deployment
  • Data analysis
  • Deployment use cases
  • Data analysis use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use fleet-intelligence Skill

  • Use it for deployment.
  • Use it for data analysis.

Built with

PythonCopy skill directory

Editorial notes

Source

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

What it does

Monitor robot fleet telemetry via Azure IoT Operations, drift detection, Grafana dashboards, and Fabric analytics

Skill instructions

Fleet Intelligence Monitor and analyze deployed robot fleet telemetry — IoT Operations data collection, Grafana dashboards, drift detection, and Fabric Real-Time Intelligence analytics. Prerequisites | Requirement | Purpose | |-------------|---------| | Azure IoT Operations | Edge telemetry collection | | Azure Event Hubs | Cloud telemetry ingestion | | Grafana | Fleet dashboards and alerting | | Microsoft Fabric | Real-Time Intelligence KQL analytics | | az CLI | Azure authentication | | kubectl | Cluster access for IoT Operations | Setup Workflow Deploy fleet intelligence components in order: Step 1 — Deploy IoT Operations bash fleet-intelligence/setup/deploy-iot-operations.sh Step 2 — Deploy telemetry pipeline bash fleet-intelligence/setup/deploy-telemetry-pipeline.sh Step 3 — Deploy dashboards bash fleet-intelligence/setup/deploy-dashboards.sh Step 4 — Deploy Fabric Real-Time Intelligence bash fleet-intelligence/setup/deploy-fabric-rti.sh Telemetry Schemas | Schema | Path | Descrip

Explore related resources

Frequently asked questions

What is fleet-intelligence?

fleet-intelligence is a open-source AI agent skill with Copy skill directory. Monitor robot fleet telemetry via Azure IoT Operations, drift detection, Grafana dashboards, and Fabric analytics

Who is fleet-intelligence best for?

fleet-intelligence is best for reusing agent instructions, scripts, and references, deployment workflows, data analysis workflows.

How do I install fleet-intelligence?

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

Is fleet-intelligence actively maintained?

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

Share:

Stars
94
Forks
48
Last commit
9 days ago
Repository age
5 months
License
MIT

Auto-fetched from GitHub.

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