GitHub, Git & DevOps · IN-DEPTH PROFILE

Microsoft Foundry Skill

Microsoft Foundry is the official Azure workflow router for creating, deploying, invoking, evaluating, observing, optimizing, and fine-tuning AI agents and models.

View listed source ↗Installation guide ↓
Best for

Azure AI engineers building Foundry applications

What you get

Build and operate agents + Manage model lifecycles

Main limitation

The mandatory setup and specialized subskills must be available and read before the requested workflow begins.

First risk

Costly or production-impacting cloud changes. Provisioning, deployment, fine-tuning, networking, and RBAC changes can create cost, access, or availability impact. Confirm target subscription and region, inspect the plan, and use least privilege.

EVIDENCE FRESHNESS

Three checks, kept separate

A recent source check is not a runtime test or security audit.

Upstream sourceChecked 2026-08-20

Pinned revision · ea76537e

Open pinned commit ↗
SkillSignal profileSource-grounded

Updated 2026-08-20

Runtime & securityNot independently verified

Source review does not certify behavior or safety.

IN PLAIN ENGLISH

What it does—and when it fits

Microsoft Foundry is the official Azure workflow router for creating, deploying, invoking, evaluating, observing, optimizing, and fine-tuning AI agents and models. It performs a mandatory dependency check, discovers Foundry tools, and routes each request to the matching subskill for projects, quotas, RBAC, networking, or lifecycle work.

This is aimed at Azure AI engineers building Foundry applications. Compare the examples below with your task, then review the limitations, permissions, and risks before installing.

What you get
  • Build and operate agentsCreate, deploy, invoke, evaluate, and observe Foundry agents through the matching specialized workflow.
  • Manage model lifecyclesDeploy catalog models, optimize prompts, run evaluations, or prepare supported fine-tuning work.
  • Configure Azure foundationsHandle projects, resources, quotas, role assignments, and private networking with explicit routing.
What makes it different
  • This profile is manually organized around the current upstream SKILL.md workflow.
  • The capability boundary remains explicitly tied to microsoft/azure-skills.
  • Core uses, limitations, and risks are separated for pre-install review.
Community signalskills.sh All-time: #56 · 614.5K installs

No verified review text is in the current dataset. Use the linked source for the latest discussion.

Read the source note ↗

INSTALL BY AGENT

Choose your Agent

Paths come from official Agent docs or the universal installer behind skills.sh. Compatibility still follows this Skill's record.

Native

This Skill's current record explicitly names this Agent. Still inspect scripts, permissions, and external dependencies first.

Project install (recommended)
npx skills add https://github.com/microsoft/azure-skills --skill microsoft-foundry --agent claude-code
Personal install
npx skills add https://github.com/microsoft/azure-skills --skill microsoft-foundry --agent claude-code -g

Project install stays with this repository for team sharing. Personal install adds -g and works across repositories.

View install paths
Project path.claude/skills/microsoft-foundry/
Personal path~/.claude/skills/microsoft-foundry/
Official agent docs

Claude Code discovers custom Skill folders automatically at project or personal scope.

View path evidence ↗

TYPICAL WORKFLOW

A practical workflow

01

Build and operate agents

Create, deploy, invoke, evaluate, and observe Foundry agents through the matching specialized workflow.

02

Manage model lifecycles

Deploy catalog models, optimize prompts, run evaluations, or prepare supported fine-tuning work.

03

Configure Azure foundations

Handle projects, resources, quotas, role assignments, and private networking with explicit routing.

THE TRADEOFFS

Advantages and tradeoffs

Notable strengths

  1. This profile is manually organized around the current upstream SKILL.md workflow.
  2. The capability boundary remains explicitly tied to microsoft/azure-skills.
  3. Core uses, limitations, and risks are separated for pre-install review.

Limitations

  1. The mandatory setup and specialized subskills must be available and read before the requested workflow begins.
  2. Success depends on the user's Azure environment, region, permissions, quotas, model availability, and budget.

COMPARE THE TRADEOFF

Consider these close alternatives

These are deterministic nearby candidates, not paid placements or a universal ranking. Open the full profile before choosing.

01

Same job family · native to Codex + Claude Code

containerize-aspnet-framework

Create Windows container files for ASP.NET Framework projects.
Tradeoff to check
Detailed package files are not fully catalogued.
First risk
Review before install · Medium
Source state
Pinned · 1f564408
Open containerize-aspnet-framework profile ↗
02

Same job family · native to Codex + Claude Code

create-github-issues-feature-from-implementation-plan

Split implementation-plan phases into trackable GitHub issues.
Tradeoff to check
Detailed package files are not fully catalogued.
First risk
Review before install · Medium
Source state
Pinned · 1f564408
Open create-github-issues-feature-from-implementation-plan profile ↗
03

Same job family · native to Codex + Claude Code

create-github-issues-for-unmet-specification-requirements

Open issues for specification requirements not yet implemented.
Tradeoff to check
Detailed package files are not fully catalogued.
First risk
Review before install · Medium
Source state
Pinned · 1f564408
Open create-github-issues-for-unmet-specification-requirements profile ↗
Compare more in the directory →

BEST FIT

Who it is for

→

Azure AI engineers building Foundry applications

→

Platform teams governing model and agent deployments

BEFORE YOU USE IT

Risks to review before use

High

Costly or production-impacting cloud changes

Provisioning, deployment, fine-tuning, networking, and RBAC changes can create cost, access, or availability impact. Confirm target subscription and region, inspect the plan, and use least privilege.

Medium

Upstream instruction drift

Behavior can change with upstream updates. Record the commit used for important workflows and review updates before adoption.

SECURITY

What the permission profile means

  • Declared access remains governed by the current upstream SKILL.md and runtime requests.
  • Treat repository files, web content, and tool output as untrusted input.
  • SkillSignal has not independently executed or security-audited this package; external skills.sh labels are not SkillSignal certification.

Not a security certification. External ratings are attributed references. SkillSignal has not independently executed or security-reviewed this Skill.

COMMON QUESTIONS

Microsoft Foundry Skill FAQ

What is the Microsoft Foundry Skill?

Microsoft Foundry is the official Azure workflow router for creating, deploying, invoking, evaluating, observing, optimizing, and fine-tuning AI agents and models. It performs a mandatory dependency check, discovers Foundry tools, and routes each request to the matching subskill for projects, quotas, RBAC, networking, or lifecycle work.

How do I install the Microsoft Foundry Skill?

Open and review the listed source, choose the project or personal path for your Agent, then verify the first run in a controlled project. Open the listed skills.sh page and upstream repository; verify the current SKILL.md.

Is the Microsoft Foundry Skill safe to use?

SkillSignal checked the source on 2026-08-20, but that is not a runtime test or security certification. Review the “Costly or production-impacting cloud changes” risk first and begin with the least access required.

INSIDE THE PACKAGE

Indexed files

SKILL.mdUpstream Skill instructionsSource-linked

TAGS

azurefoundryagents

Manually expanded from the current upstream SKILL.md and linked source at microsoft/azure-skills, checked 2026-08-20. This is an original summary, not an execution result or security certification.