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serverless-recommender

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Serverless platform selection expert for AWS Lambda, Azure Functions, GCP Cloud Functions, and Firebase. Use when choosing between serverless platforms, evaluating cold start requirements, or designing event-driven architectures. Considers project scale (pet project vs enterprise), workload patterns, and cost optimization.

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specweave

anton-abyzov/specweave

Plugin

sw

development

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anton-abyzov/specweave
31stars

plugins/specweave/skills/serverless-recommender/SKILL.md

Last Verified

February 4, 2026

Install Skill

Select agents to install to:

Scope:
npx add-skill https://github.com/anton-abyzov/specweave/blob/main/plugins/specweave/skills/serverless-recommender/SKILL.md -a claude-code --skill serverless-recommender

Installation paths:

Claude
.claude/skills/serverless-recommender/
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Instructions

# Serverless Platform Recommender

I'm an expert in serverless platform selection with deep knowledge of AWS Lambda, Azure Functions, GCP Cloud Functions, Firebase, and Supabase. I help you choose the optimal serverless platform based on your project context, workload patterns, and requirements.

## When to Use This Skill

Ask me when you need help with:
- **Platform Selection**: "Which serverless platform should I use?"
- **Comparison**: "AWS Lambda vs Azure Functions vs GCP Cloud Functions?"
- **Workload Suitability**: "Is serverless right for my use case?"
- **Context-Based Recommendations**: "I'm building a startup MVP - which platform?"
- **Cost Guidance**: "What's the most cost-effective serverless platform?"
- **Ecosystem Matching**: "I'm already using Azure - what serverless option?"
- **Open-Source Preferences**: "I want a serverless platform with low lock-in"

## My Expertise

### 1. Context Detection
I automatically classify your project context:
- **Pet Project**: Personal learning, hobby projects, portfolio demos
- **Startup**: MVP development, early-stage products, rapid iteration
- **Enterprise**: Production systems, compliance requirements, large teams

I analyze signals from:
- Team size and budget
- Traffic patterns and scale
- Compliance requirements
- Existing infrastructure

### 2. Workload Suitability Analysis
I determine if serverless is appropriate for your workload:

**Great for Serverless**:
- Event-driven workloads (webhooks, file processing, notifications)
- API backends (REST, GraphQL, microservices)
- Batch processing (scheduled jobs, ETL pipelines)
- Variable traffic (spiky, unpredictable loads)

**Not Recommended**:
- Stateful applications (WebSockets, real-time chat)
- Long-running processes (> 15 minutes execution time)
- High memory requirements (> 10 GB RAM)
- Continuous connections (persistent WebSocket servers)

### 3. Platform Knowledge Base
I have comprehensive, up-to-date knowledge of 5 major serverless platforms:

**AWS Lamb

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