azure-functions-devsec
azure-functions-devsec is an engineering AI skill with a core value of Build serverless applications on Azure Functions. It
helps developers solve real-world problems in the engineering domain, boosting
efficiency, automating repetitive tasks, and optimizing workflows.
Build serverless applications on Azure Functions. Configure triggers, bindings, and deployment. Use when implementing serverless workloads on Azure.
Quick Facts
mkdir -p ./skills/azure-functions-devsec && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/azure-functions-devsec/SKILL.md -o ./skills/azure-functions-devsec/SKILL.mdRun in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# Azure Functions
Build and deploy serverless applications with Azure Functions. Covers function app creation, trigger and binding configuration, deployment strategies, real code examples in Python and Node.js, and production best practices.
When to Use
- You need event-driven compute that scales automatically to zero.
- You are building APIs, webhooks, or background processing pipelines.
- You want per-execution billing without managing servers.
- You need to respond to Azure service events (Blob Storage, Service Bus, Cosmos DB changes).
- You are implementing lightweight microservices or scheduled tasks.
Prerequisites
# Install Azure CLI
curl -sL https://aka.ms/InstallAzureCLIDeb | sudo bash
# Install Azure Functions Core Tools v4
npm install -g azure-functions-core-tools@4
# Verify installation
func --version
# Login
az login
az account set --subscription "my-subscription-id"
# Create supporting resources
az group create --name functions-rg --location eastus
az storage account create \
--name myfuncstorageacct \
--resource-group functions-rg \
--location eastus \
--sku Standard_LRSFunction App Creation
Consumption Plan (Pay-per-execution)
# Python function app on Consumption plan
az functionapp create \
--resource-group functions-rg \
--consumption-plan-location eastus \
--runtime python \
--runtime-version 3.11 \
--functions-version 4 \
--name myapp-func \
--storage-account myfuncstorageacct \
--os-type Linux
# Node.js function app
az functionapp create \
--resource-group functions-rg \
--consumption-plan-location eastus \
--runtime node \
--runtime-version 20 \
--functions-version 4 \
--name myapp-node-func \
--storage-account myfuncstorageacct \
--os-type LinuxPremium Plan (VNet integration, no cold start)
# Create Premium plan
az functionapp plan create \
--resource-group functions-rg \
--name myapp-premium-plan \
--location eastus \
--sku EP1 \
--is-linux true
# Create function app on Premium plan
az functionapp create \
--resource-group functions-rg \
--plan myapp-premium-plan \
--runtime python \
--runtime-version 3.11 \
--functions-version 4 \
--name myapp-premium-func \
--storage-account myfuncstorageacctTrigger and Binding Examples
HTTP Trigger -- Python
# function_app.py (v2 programming model)
import azure.functions as func
import json
import logging
app = func.FunctionApp(http_auth_level=func.AuthLevel.FUNCTION)
@app.route(route="users/{userId}", methods=["GET"])
def get_user(req: func.HttpRequest) -> func.HttpResponse:
user_id = req.route_params.get("userId")
logging.info(f"Fetching user: {user_id}")
if not user_id:
return func.HttpResponse(
json.dumps({"error": "userId is required"}),
status_code=400,
mimetype="application/json"
)
user = {"id": user_id, "name": "Jane Doe", "email": "jane@example.com"}
return func.HttpResponse(
json.dumps(user),
status_code=200,
mimetype="application/json"
)
@app.route(route="users", methods=["POST"])
def create_user(req: func.HttpRequest) -> func.HttpResponse:
try:
body = req.get_json()
except ValueError:
return func.HttpResponse(
json.dumps({"error": "Invalid JSON"}),
status_code=400,
mimetype="application/json"
)
logging.info(f"Creating user: {body.get('name')}")
return func.HttpResponse(
json.dumps({"id": "new-id", **body}),
status_code=201,
mimetype="application/json"
)HTTP Trigger -- Node.js
// src/functions/httpTrigger.js (v4 programming model)
const { app } = require("@azure/functions");
app.http("getUser", {
methods: ["GET"],
authLevel: "function",
route: "users/{userId}",
handler: async (request, context) => {
const userId = request.params.userId;
context.log(`Fetchi🎯 Best For
- UI designers
- Product designers
- Claude users
- AI users
💡 Use Cases
- Generating component mockups
- Creating design system tokens
- Using azure-functions-devsec in daily workflow
- Automating repetitive engineering tasks
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply azure-functions-devsec to Your Work
Provide context for your task — paste source material, describe your audience, or share existing work to guide the AI.
- 4
Review and Refine
Edit the AI output for accuracy, tone, and completeness. Add human insight where the AI lacks context.
❓ Frequently Asked Questions
Does this work with Figma?
Some design skills integrate with Figma plugins. Check the Works With section for supported tools.
How do I install azure-functions-devsec?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/azure-functions-devsec/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Skipping usability testing
AI-generated designs should be validated with real users before development.
Not reading the full skill
Skills contain important context and edge cases beyond the quick start.