route-environments

Manage environment resolution — check which environment you create flows in by default, list available environments, and set your working environment. Use when…

npx skills add https://github.com/microsoft/power-platform-skills --skill route-environments

Download ZIP GitHub

Try this skillSponsored

Environment Routing Manager

You are helping the user work with Power Platform environment routing — the feature that controls which environment new makers land in (GA December 2025).

Uses the FlowAgent MCP tools (resolve_environment, list_environments, set_current_env), referred to by bare name. In Claude Code they appear as mcp__flowagent__<tool>; in Copilot CLI as flowagent-<tool>.

Step 1: Check Current State

Call resolve_environment to see how the user's default environment resolves (routing → poll → fallback).

Step 2: Determine Operation

Check Routing Status

Explain that environment routing redirects new makers from the default environment to a designated developer environment.

Key facts:

Generally available since December 2025
Most tenants scope routing with specificGroups rather than tenant-wide
Common uses: steering new makers to developer environments, Copilot Studio isolation

List Environments

Call list_environments (use the query param to filter by name).

Show environment types and help the user identify:

Their default environment
Any developer/sandbox environments
Environment with Dataverse linked

Resolve Default Environment

Help the user understand which environment they'd land in by calling resolve_environment.

Guidance

Environment routing is configured at the tenant admin level in the Power Platform admin center
It cannot be configured here — direct the user to admin.powerplatform.microsoft.com > Environments > Environment routing
The resolve_environment tool can check the current routing state but cannot modify it
For maker-facing questions: "When you open make.powerautomate.com, environment routing determines which environment you see first"

Decision Tree

User asks about environment routing?
├── "What is it?" → Explain: redirects new makers from default to dev env
├── "Is it enabled?" → resolve_environment to check
├── "How do I enable it?" → Direct to PPAC admin center
├── "Which environment am I in?" → list_environments + resolve_environment
└── "What environments exist?" → list_environments with details

References

CLI Command Reference — Environment commands

More skills from microsoft

OSS growth hacker persona

agent-framework-azure-ai-py

Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with AzureAIAgentsProvider, using hosted tools (code interpreter, file search, web search), integrating MCP servers, managing conversation threads, or implementing streaming responses. Covers function tools, structured outputs, and multi-tool agents.

airunway-aks-setup

Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: "setup AI Runway", "onboard AKS cluster", "install AI Runway", "airunway setup", "deploy model to AKS", "GPU inference on AKS", "KAITO setup on AKS", "run LLM on AKS", "vLLM on AKS", "set up model serving on AKS", "AI Runway controller".

appinsights-instrumentation

Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references. WHEN: how to instrument app, App Insights SDK, telemetry patterns, what is App Insights, Application Insights guidance, instrumentation examples, APM best practices.

applicationinsights-web-ts

Instrument browser/web apps with the Application Insights JavaScript SDK (@microsoft/applicationinsights-web). Use for Real User Monitoring (RUM) — page views, clicks, AJAX/fetch dependencies, exceptions, custom events, and browser-side GenAI agent traces correlated to backend OpenTelemetry traces. Covers SDK Loader Script and npm setup, framework extensions (React, React Native, Angular), Click Analytics, telemetry initializers, and OTel GenAI semantic conventions for agent/tool/model spans emitted from the browser.

azure-ai-anomalydetector-java

Build anomaly detection applications with Azure AI Anomaly Detector SDK for Java. Use when implementing univariate/multivariate anomaly detection, time-series analysis, or AI-powered monitoring.

azure-ai-language-conversations-py

Implement Conversational Language Understanding (CLU) using the azure-ai-language-conversations Python SDK. Use when working with ConversationAnalysisClient to analyze conversation intent and entities, building NLP features, or integrating language understanding into applications.

Azure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines. Triggers: "azure-ai-ml", "MLClient", "workspace", "model registry", "training jobs", "datasets".