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discovery-services-agent-deployer Skill

AI Agent SkillPythonOpen source

Deploy Discovery catalog agents end-to-end with one command: discover the agent, build and bind its tool when present, skip tool stages for agents without tools, deploy the agent, and optionally run validation. Use this skill whenever the user asks to deploy a Discovery agent, publish or rebuild an agent tool image, re Published by microsoft in discovery.

What is discovery-services-agent-deployer Skill?

Deploy Discovery catalog agents end-to-end with one command: discover the agent, build and bind its tool when present, skip tool stages for agents without tools, deploy the agent, and optionally run validation. Use this skill whenever the user asks to deploy a Discovery agent, publish or rebuild an agent tool image, re Published by microsoft in discovery. 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
58/100

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

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use discovery-services-agent-deployer Skill

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

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/discovery
  • Skill file: .github/skills/discovery-services-agent-deployer/SKILL.md

What it does

Deploy Discovery catalog agents end-to-end with one command: discover the agent, build and bind its tool when present, skip tool stages for agents without tools, deploy the agent, and optionally run validation. Use this skill whenever the user asks to deploy a Discovery agent, publish or rebuild an agent tool image, re

Skill instructions

Discovery Agent Deployer Compatibility Runs on Windows, macOS, and Linux through PowerShell 7+ (pwsh). Requires git, python with pip, and Azure CLI (az). Docker is optional because the runner can use Azure Container Registry Tasks when local Docker is unavailable. What this skill does Deploy one or more Discovery catalog agents from this repository with a single deterministic runner: powershell pwsh -NoProfile -ExecutionPolicy Bypass -File .github/skills/discovery-services-agent-deployer/scripts/deploy-discovery-agent.ps1 <agent-name The single PowerShell script discovers the agent folder, selects its tool folder when present, builds and pushes the image, creates or updates the Microsoft.Discovery/tools resource, patches a run-local copy of agent.yaml, deploys the agent, validates it with a temporary investigation, and prints a final summary. If the agent has no tool, it skips build and deploy-tool and continues with agent deployment. It persists stage status to stage-todos.json in the

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Frequently asked questions

What is discovery-services-agent-deployer?

discovery-services-agent-deployer is a open-source AI agent skill with Copy skill directory. Deploy Discovery catalog agents end-to-end with one command: discover the agent, build and bind its tool when present, skip tool stages for agents without tools, deploy the agent, and.

Who is discovery-services-agent-deployer best for?

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

How do I install discovery-services-agent-deployer?

Install or run discovery-services-agent-deployer using Copy skill directory. Check discovery-services-agent-deployer for the latest setup command.

Is discovery-services-agent-deployer actively maintained?

discovery-services-agent-deployer may need a closer maintenance check before production use.

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Stars
212
Forks
47
Last commit
15 days ago
Repository age
2 months
License
MIT

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