# Azure Functions

> Expert patterns for Azure Functions development including isolated worker model, Durable Functions orchestration, cold start optimization, and production patterns. Covers .NET, Python, and Node.js ... Use when this capability is needed.

- Skill: `tomevault-io/azure-functions-3` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add tomevault-io/azure-functions-3`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/azure-functions-3/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: DevOps & Infra
- Author: tomevault-io (https://skillmd.com/u/tomevault-io)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/tomevault-io/azure-functions-3

---


# Azure Functions

## Patterns

### Isolated Worker Model (.NET)

Modern .NET execution model with process isolation

### Node.js v4 Programming Model

Modern code-centric approach for TypeScript/JavaScript

### Python v2 Programming Model

Decorator-based approach for Python functions

## Anti-Patterns

### ❌ Blocking Async Calls

### ❌ New HttpClient Per Request

### ❌ In-Process Model for New Projects

## ⚠️ Sharp Edges

| Issue | Severity | Solution |
|-------|----------|----------|
| Issue | high | ## Use async pattern with Durable Functions |
| Issue | high | ## Use IHttpClientFactory (Recommended) |
| Issue | high | ## Always use async/await |
| Issue | medium | ## Configure maximum timeout (Consumption) |
| Issue | high | ## Use isolated worker for new projects |
| Issue | medium | ## Configure Application Insights properly |
| Issue | medium | ## Check extension bundle (most common) |
| Issue | medium | ## Add warmup trigger to initialize your code |

## When to Use
This skill is applicable to execute the workflow or actions described in the overview.

---

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## AGI Framework Integration

> **Adapted for [@techwavedev/agi-agent-kit](https://www.npmjs.com/package/@techwavedev/agi-agent-kit)**
> Original source: [antigravity-awesome-skills](https://github.com/sickn33/antigravity-awesome-skills)

### Memory-First Protocol

Retrieve prior deployment configurations, rollback procedures, and incident post-mortems. Avoid re-discovering infrastructure patterns.

```bash
# Check for prior infrastructure context before starting
python3 execution/memory_manager.py auto --query "deployment configuration and patterns for Azure Functions"
```

### Storing Results

After completing work, store infrastructure decisions for future sessions:

```bash
python3 execution/memory_manager.py store \
  --content "Deployment pipeline: configured blue-green deployment with health checks on port 8080" \
  --type technical --project <project> \
  --tags azure-functions devops
```

### Multi-Agent Collaboration

Broadcast deployment changes so frontend and backend agents update their configurations accordingly.

```bash
python3 execution/cross_agent_context.py store \
  --agent "<your-agent>" \
  --action "Deployed infrastructure changes — updated CI/CD pipeline with new health check endpoints" \
  --project <project>
```

### Playbook Integration

Use the `ship-saas-mvp` or `full-stack-deploy` playbook to sequence this skill with testing, documentation, and deployment verification.

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---
> Converted and distributed by [TomeVault](https://tomevault.io/claim/techwavedev) — claim your Tome and manage your conversions.
<!-- tomevault:4.0:skill_md:2026-04-13 -->