
azure-hosted-copilot-sdk
Build, deploy, and modify GitHub Copilot SDK apps on Azure. MANDATORY when codebase contains @github/copilot-sdk or CopilotClient in package.json. PREFER OVER azure-prepare when copilot-sdk markers detected. WHEN: copilot SDK, @github/copilot-sdk, copilot-powered app, build copilot app, prepare copilot app, add feature to copilot app, modify copilot app, BYOM, bring your own model, CopilotClient, createSession, sendAndWait, azd init copilot. DO NOT USE FOR: deploying already-prepared copilot-sdk apps (use azure-deploy), general web apps without copilot SDK (use azure-prepare), Copilot Extensions, Foundry agents (use microsoft-foundry).
- Installs
- 355.3K
- Last 24h
- —
- Trending rank
- —
- Security
- Warn
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/microsoft/azure-skills --skill azure-hosted-copilot-sdk- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads azure-hosted-copilot-sdk automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
Security audits
Independent scans of the skill's instructions and bundled files.
SKILL.md
The instructions your agent reads when the skill is triggered.
GitHub Copilot SDK on Azure
Codebase Detection — MANDATORY FIRST CHECK
⚠️ CRITICAL: This check MUST run before ANY other skill (azure-prepare, azure-deploy, etc.) when an existing codebase is present.
Detection procedure (run IMMEDIATELY for any build/modify/add-feature/prepare prompt):
- Read
package.jsonin the workspace root (and any*/package.jsonone level deep) - Check if
@github/copilot-sdkorcopilot-sdkappears inname,dependencies, ordevDependencies - If NOT found in package.json, scan
.tsand.jsfiles forCopilotClientorcreateSession - If ANY marker is found → invoke this skill as the entry point. Do not route directly to azure-prepare or azure-deploy — this skill orchestrates them as sub-skills.
| Marker | Where to check |
|---|---|
@github/copilot-sdk | package.json dependencies or devDependencies |
copilot-sdk | package.json name or dependencies |
CopilotClient | Source files (.ts, .js) |
createSession + sendAndWait | Source files (.ts, .js) |
Generic prompts that MUST trigger this skill when markers are detected:
| Prompt pattern (no "copilot" keyword) | Why this skill |
|---|---|
| "Build this app" / "Prepare this app for Azure" | Codebase contains @github/copilot-sdk - needs SDK-aware scaffolding |
| "Add a new feature to this app" | Requires SDK-aware implementation patterns |
| "Update this app" / "Modify this app" | Must preserve SDK integration patterns |
⚠️ Warning: ANY build, modify, add-feature, or prepare prompt targeting an existing codebase MUST route to this skill when codebase contains
@github/copilot-sdk, even if the prompt does not mention "copilot". This skill then orchestrates azure-prepare and azure-deploy as sub-skills.
⚠️ Yield to azure-deploy: When the codebase already has
.azure/deployment-plan.mdand the user wants to deploy (not modify or add features), route to azure-deploy instead. This skill handles preparation; azure-deploy handles execution.
Step 1: Route
| User wants | Action |
|---|---|
| Build new (empty project) | Step 2A (scaffold) |
| Add new SDK service to existing repo | Step 2B (scaffold alongside) |
| Deploy existing SDK app to Azure | Step 2C (add infra to existing SDK app) |
| Modify/add features to existing SDK app | Use codebase context + SDK references to implement |
| Add SDK to existing app code | Integrate SDK |
| Use Azure/own model | Step 3 (BYOM config) |
Step 2A: Scaffold New (Greenfield)
azd init --template azure-samples/copilot-sdk-service
Template includes API (Express/TS) + Web UI (React/Vite) + infra (Bicep) + Dockerfiles + token scripts — do NOT recreate. See SDK ref.
Step 2B: Add SDK Service to Existing Repo
User has existing code and wants a new Copilot SDK service alongside it. Scaffold template to a temp dir, copy the API service + infra into the user's repo, adapt azure.yaml to include both existing and new services. See deploy existing ref.
Step 2C: Deploy Existing SDK App
User already has a working Copilot SDK app and needs Azure infra. See deploy existing ref.
Step 3: Model Configuration
Three model paths (layers on top of 2A/2B):
| Path | Config |
|---|---|
| GitHub default | No model param — SDK picks default |
| GitHub specific | model: "<name>" — use listModels() to discover |
| Azure BYOM | model + provider with bearerToken via DefaultAzureCredential |
⚠️ BYOM Auth — MANDATORY: Azure BYOM configurations MUST use
DefaultAzureCredential(local dev) orManagedIdentityCredential(production) to obtain abearerToken. The ONLY supported auth pattern isbearerTokenin the provider config. See auth-best-practices.md for the credential pattern and model config ref for the full BYOM code example.
See model config ref.
Step 4: Deploy
Invoke azure-prepare (skip its Step 0 routing — scaffolding is done) → azure-validate → azure-deploy in order.
Rules
- Read
AGENTS.mdin user's repo before changes - Docker required (
docker info) - BYOM auth: ONLY
bearerTokenviaDefaultAzureCredentialorManagedIdentityCredential— no other auth pattern is supported
FAQ
What does the azure-hosted-copilot-sdk skill do?
Build, deploy, and modify GitHub Copilot SDK apps on Azure. MANDATORY when codebase contains @github/copilot-sdk or CopilotClient in package.json. PREFER OVER azure-prepare when copilot-sdk markers detected. WHEN: copilot SDK, @github/copilot-sdk, copilot-powered app, build copilot app, prepare copilot app, add feature to copilot app, modify copilot app, BYOM, bring your own model, CopilotClient, createSession, sendAndWait, azd init copilot. DO NOT USE FOR: deploying already-prepared copilot-sdk apps (use azure-deploy), general web apps without copilot SDK (use azure-prepare), Copilot Extensions, Foundry agents (use microsoft-foundry).
How do I install azure-hosted-copilot-sdk?
Run npx skills add https://github.com/microsoft/azure-skills --skill azure-hosted-copilot-sdk in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/azure-hosted-copilot-sdk/ (personal) or .claude/skills/azure-hosted-copilot-sdk/ (project).
Which AI agents can use azure-hosted-copilot-sdk?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is azure-hosted-copilot-sdk safe to install?
Security partners have reviewed it: Gen Agent Trust Hub passed; Socket passed; Snyk flagged items to review; ZeroLeaks passed. As with any skill, read the SKILL.md and bundled scripts before installing.
Who maintains azure-hosted-copilot-sdk?
It is published by microsoft in microsoft/azure-skills, and it is an official skill from the maker of the technology it covers. It has 355,277 recorded installs.
More from microsoft/azure-skills
microsoft-foundry
microsoft/azure-skills
Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent create, managed harness agent create, GitHub Copilot harness agent, create agent, update agent, add tool to agent, invoke agent, agent insights, evaluate agent, batch eval, continuous eval, continuous monitoring, agent CI/CD, optimize prompt, improve prompt, optimize agent instructions, Agent Optimizer scaffold, dataset curation from traces, deploy model, model fine-tuning (SFT/DPO/RFT), Foundry project, RBAC, role assignment, permissions, quota, capacity, region, deployment failure, AI Services, create Foundry resource, knowledge index, customize deployment, onboard, availability, training-data, grader, distillation, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure
azure-diagnostics
microsoft/azure-skills
Debug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot app service, app service high CPU, app service deployment failure, troubleshoot container apps, container app 503 or target port mismatch, troubleshoot functions, function telemetry missing or stopped after a config/connection-string change, troubleshoot AKS, VM RDP, Linux SSH, VM black screen, can't connect to VM, reset VM password, NSG or firewall blocking, kubectl cannot connect, kube-system/CoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, analyze logs, KQL, insights, image pull failures, cold start issues, health probe failures, resource health, root cause of errors, troubleshoot event hubs, troubleshoot service bus, messaging SDK error, AMQP connection failure, message lock lost, lock renewal during long-running processing, service bus dead letter.
azure-prepare
microsoft/azure-skills
Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azd infrastructure, modernize app for Azure with azd, deploy with azd, function app, timer trigger, service bus trigger, event-driven function, managed identity, generate Bicep, generate Terraform, create and deploy to Azure.
azure-ai
microsoft/azure-skills
Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.
azure-deploy
microsoft/azure-skills
Execute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead. This skill runs azd up, azd deploy, terraform apply, and az deployment commands with built-in error recovery. Requires .azure/deployment-plan.md from azure-prepare and validated status from azure-validate. WHEN: "run azd up", "run azd deploy", "execute deployment", "push to production", "push to cloud", "go live", "ship it", "bicep deploy", "terraform apply", "publish to Azure", "launch on Azure". DO NOT USE WHEN: "create and deploy", "build and deploy", "create a new app", "set up infrastructure", "create and deploy to Azure using Terraform" — use azure-prepare for these.
azure-validate
microsoft/azure-skills
Pre-deployment validation for Azure readiness. Run deep checks on configuration, infrastructure (Bicep or Terraform), RBAC role assignments, managed identity permissions, and prerequisites before deploying. WHEN: validate my app, check deployment readiness, run preflight checks, verify configuration, check if ready to deploy, validate azure.yaml, validate Bicep, test before deploying, troubleshoot deployment errors, validate Azure Functions, validate function app, validate serverless deployment, verify RBAC roles, check role assignments, review managed identity permissions, what-if analysis, validate Container Apps deployment.
Popular devops & cloud skills
wizard
mattpocock/skills
Generate an interactive bash wizard that walks a human through steps only they can perform. Use when provisioning infrastructure, setting up credentials or CI secrets, walking an unfamiliar third-party dashboard, or running a one-off migration or cutover. Don't invoke this for steps the agent can perform itself.
google-agents-cli-deploy
google/agents-cli
This skill should be used when the user wants to "deploy an agent", "deploy my ADK agent", "set up CI/CD", "configure secrets", "troubleshoot a deployment", or needs guidance on Agent Runtime, Cloud Run, or GKE deployment targets, or binding an agent to an Agent Gateway. Covers deployment workflows, service accounts, rollback, and production infrastructure. Applies to any framework agents-cli deploys (ADK, LangChain, ...). Part of the agents-cli skills suite. Do NOT use for agent API code patterns (ADK: use google-agents-cli-adk-code), evaluation (use google-agents-cli-eval), or project scaffolding (use google-agents-cli-scaffold).
google-agents-cli-scaffold
google/agents-cli
This skill should be used when the user wants to "create an agent project", "start a new ADK project", "build me a new agent", "add CI/CD to my project", "add deployment", "enhance my project", or "upgrade my project". Part of the agents-cli skills suite. Covers agents-cli scaffold create, scaffold enhance, and scaffold upgrade commands, template options, deployment targets, and the prototype-first workflow. Do NOT use for writing agent code (ADK projects: use google-agents-cli-adk-code) or deployment operations (use google-agents-cli-deploy).
google-agents-cli-observability
google/agents-cli
This skill should be used when the user wants to "set up tracing", "monitor my agent", "configure logging", "add observability", "debug production traffic", or needs guidance on monitoring deployed agents, including ADK (Agent Development Kit) agents. Covers Cloud Trace, prompt-response logging, BigQuery Agent Analytics, third-party integrations (AgentOps, Phoenix, MLflow, etc.), and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment setup (use google-agents-cli-deploy) or API code patterns (use google-agents-cli-adk-code).
vercel-composition-patterns
vercel-labs/agent-skills
React composition patterns that scale. Use when refactoring components with boolean prop proliferation, building flexible component libraries, or designing reusable APIs. Triggers on tasks involving compound components, render props, context providers, or component architecture. Includes React 19 API changes.
sentry-cli
sentry/dev
Guide for using the Sentry CLI to interact with Sentry from the command line. Use when the user asks about viewing issues, events, projects, organizations, making API calls, or authenticating with Sentry via CLI.