apm-usage

APM (Agent Package Manager) is the open-source package manager for AI coding agents. It lets teams install, share, and govern reusable instructions, prompts, agents, skills, and MCP server configurations across projects.

npx skills add https://github.com/microsoft/apm --skill apm-usage

Download ZIP GitHub

APM Usage

APM (Agent Package Manager) is the open-source package manager for AI coding agents. It lets teams install, share, and govern reusable instructions, prompts, agents, skills, and MCP server configurations across projects.

When to activate

User mentions apm or "Agent Package Manager"
Questions about installing or managing AI-agent packages
Setting up instructions, prompts, agents, skills, or chatmodes
Configuring MCP servers through apm.yml
Authentication for private repos (GitHub, ADO, GHES, Artifactory)
Policy enforcement or apm audit
Package authoring or publishing
Compiling agent context (apm compile)
Troubleshooting apm errors

Key rules

Commit these files: apm.yml, apm.lock.yaml, .apm/, deployed harness directories including .grok/, and AGENTS.md
Never commit: apm_modules/ (add to .gitignore)
Team sync: after git clone, run apm install to restore dependencies
Update deps: apm install --update refreshes to latest refs
Pin versions: use tags (#v1.0.0) in production, branches for development
ASCII only: all CLI output and source must stay within printable ASCII

Reference

For detailed guidance, see the following resources:

Installation -- install and update APM
Workflow -- core workflow, apm.yml format, what to commit
Commands -- full CLI command reference
Dependencies -- all dependency formats and version pinning
Authentication -- token setup for private repos
Governance -- policy engine and audit checks
Package Authoring -- creating APM packages
Troubleshooting -- common errors and fixes

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".