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serverless-recommender

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.

Why use this skill?

Choose the right serverless platform with expert guidance on AWS Lambda, Azure Functions, and GCP. Optimize for cost, scale, and architecture.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/anton-abyzov/sw-serverless-recommender
Or

What This Skill Does

The serverless-recommender skill acts as a specialized architect for cloud-native development. It evaluates your specific project constraints—such as team composition, existing cloud footprint, and scalability requirements—to provide an objective comparison between industry-leading serverless platforms. By analyzing traffic patterns, potential cold start impacts, and integration requirements, it guides you toward the optimal provider, whether that be AWS Lambda, Azure Functions, or GCP Cloud Functions.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal:

clawhub install openclaw/skills/skills/anton-abyzov/sw-serverless-recommender

Ensure that you have the latest version of the OpenClaw CLI to access the most recent platform update patches and best-practice libraries.

Use Cases

This skill is engineered for developers, architects, and product managers at various project stages. It is highly effective for startups choosing their primary cloud provider, enterprise teams looking to migrate monoliths to event-driven architectures, and solo developers seeking the most cost-effective hosting for hobbyist webhooks or APIs. Use this skill when you are at a decision crossroads regarding infrastructure, particularly when cost, vendor lock-in, and developer velocity are conflicting priorities.

Example Prompts

  1. "I am building a startup MVP that requires high-concurrency event-driven processing. Given that we are already on GCP, should I use Cloud Functions or consider a move to AWS Lambda?"
  2. "We need a serverless solution for a .NET-based enterprise backend. Compare the benefits of Azure Functions' Durable Functions versus AWS Lambda's Step Functions in terms of cost and complexity."
  3. "Which serverless platform offers the most generous free tier for a portfolio project that receives erratic traffic spikes?"

Tips & Limitations

To get the best results, always provide specific context regarding your tech stack and expected request volume. Note that while this skill excels at architectural recommendations, it does not manage your cloud credentials or perform actual infrastructure deployments. It is a decision-support tool meant to guide you, not an automation tool that touches your live production environment. Always verify specific pricing tiers on the provider's official documentation before finalizing large-scale migrations as free tier limits can change.

Metadata

Stars1054
Views1
Updated2026-02-16
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-anton-abyzov-sw-serverless-recommender": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#cloud#serverless#aws#architecture#devops
Safety Score: 5/5