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azure-hosted-copilot-sdk AI Agent Skill
View Source: microsoft/azure-skills
MediumInstallation
npx skills add microsoft/azure-skills --skill azure-hosted-copilot-sdk 197.3K
Installs
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 deploy/modify/add-feature 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 |
|---|---|
| "Deploy this app to Azure" | Codebase contains @github/copilot-sdk |
| "Add a new feature to this app" | Requires SDK-aware implementation patterns |
| "Update this app" / "Modify this app" | Must preserve SDK integration patterns |
| "Ship this to production" | Needs copilot-specific infrastructure and token management |
⚠️ Warning: ANY prompt targeting an existing codebase — deploy, modify, add feature, update, enhance — 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.
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
Installs
Security Audit
View Source
microsoft/azure-skills
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How to use this skill
Install azure-hosted-copilot-sdk by running npx skills add microsoft/azure-skills --skill azure-hosted-copilot-sdk in your project directory. Run the install command above in your project directory. The skill file will be downloaded from GitHub and placed in your project.
No configuration needed. Your AI agent (Claude Code, Cursor, Windsurf, etc.) automatically detects installed skills and uses them as context when generating code.
The skill enhances your agent's understanding of azure-hosted-copilot-sdk, helping it follow established patterns, avoid common mistakes, and produce production-ready output.
What you get
Skills are plain-text instruction files — not executable code. They encode expert knowledge about frameworks, languages, or tools that your AI agent reads to improve its output. This means zero runtime overhead, no dependency conflicts, and full transparency: you can read and review every instruction before installing.
Compatibility
This skill works with any AI coding agent that supports the skills.sh format, including Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider, and other tools that read project-level context files. Skills are framework-agnostic at the transport level — the content inside determines which language or framework it applies to.
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Use Claude, ChatGPT, Gemini alongside with EU-Hosted Models like Deepseek, GLM-5, Kimi K2.5 and many more.