ai-architecture

ai-architecture is a skill for Claude Code from frankxai/claude-skills-library. It costs 57 tokens per session (638 once invoked), scanned A, original, MIT.

Guidance for designing AI platforms across AWS, Google Cloud, Microsoft Azure, and Oracle Cloud, including cost estimates and technical trade-offs.

In plain words
What is it for?
Use it to compare cloud providers, estimate infrastructure costs, and make architecture decisions for AI products.
Why use it?
It helps compare cloud choices and decide whether to build or buy parts of an AI product’s infrastructure.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the claude-skills-library plugin — 116 skills shipped together

Good fit Use it to compare cloud providers, estimate infrastructure costs, and make architecture decisions for AI products.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/frankxai/claude-skills-library/ai-architecture
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add frankxai/claude-skills-library --skill ai-architecture
Clone the repo
git clone --depth 1 https://github.com/frankxai/claude-skills-library

Made for: Claude Code.

Or install claude-skills-library, the plugin that ships this one along with the rest of its 116 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for ai-architecture

README.md
[![agentmods](https://agentmods.dev/badge/skills/frankxai/claude-skills-library/ai-architecture/github.svg)](https://agentmods.dev/skills/frankxai/claude-skills-library/ai-architecture)
Your own site
<a href="https://agentmods.dev/skills/frankxai/claude-skills-library/ai-architecture"><img src="https://agentmods.dev/badge/skills/frankxai/claude-skills-library/ai-architecture/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for ai-architecture

Your own site · 80×15
<a href="https://agentmods.dev/skills/frankxai/claude-skills-library/ai-architecture"><img src="https://agentmods.dev/badge/skills/frankxai/claude-skills-library/ai-architecture.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 638 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00057 $0.00638
Opus 5.5 $0.00023 $0.00255
Sonnet 5.5 $0.00011 $0.00128
Haiku 4.5 $0.00006 $0.00064

Measured 11d ago against content hash 62e98e0b9955, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ai-architecture scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

free-skills/ai-architecture/SKILL.md · 80 lines

How it starts

The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Architecture Skill

Purpose

Expert guidance on multi-cloud architecture, cost analysis, and technical decision-making for AI-powered platforms. Combines Oracle AI Architect expertise with FrankX brand voice.

When to Use This Skill

Activate /ai-architecture when you need:

  • Multi-cloud provider comparison (AWS, GCP, Azure, OCI)
  • Cost analysis for AI/ML infrastructure
  • Architecture patterns for creator platforms
  • Technical stack recommendations
  • Database and compute decisions
  • AI service selection guidance
  • Cloud migration strategies

Core Principles

1. Provider-Agnostic Analysis

  • Compare all major cloud providers fairly
  • Focus on use case fit, not vendor loyalty
  • Include real cost estimates and trade-offs
  • Acknowledge strengths and weaknesses of each

2. Creator-Focused Perspective

  • Frame technical decisions through creator needs
  • Balance cost with capability
  • Prioritize simplicity and developer experience
  • Consider solo developers through enterprise teams

3. FrankX Voice for Technical Content

  • Use studio metaphors (mixing consoles, tracks, sessions)
  • Warm technical writing - accurate but accessible
  • "Like choosing gear for your studio" framing
  • Real-world examples from Frank's projects

4. Data-Driven Recommendations

  • Real pricing from official sources
  • Actual service capabilities, not marketing
  • TCO analysis, not just sticker price
  • Performance benchmarks when available

Cloud Provider Quick Reference

AWS: Most services, mature ecosystem, $$$ cost, best for enterprise scale GCP: AI/ML leader, clean APIs, $$ cost, best for data science Azure: Microsoft integration, OpenAI access, $$ cost, best for enterprise OCI: Best price-performance, Oracle integration, $ cost, best for cost optimization

Architecture Decision Framework

  • Cost-Focused: OCI > GCP free tier > serverless patterns
  • Ecosystem-Focused: AWS > GCP AI tools > community support
  • Enterprise-Focused: Azure (Microsoft) > OCI (Oracle) > compliance
  • Innovation-Focused: GCP AI > AWS Bedrock > Azure OpenAI

Read the full file on GitHub · 80 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago Changed · +1 lines 62e98e0b9955
  2. 2mo ago First seen · 79 lines · 57 tokens per session scan A 904924884ccb

Subscribe to this mod's changes

ai-architecture is a skill published in the GitHub repository frankxai/claude-skills-library (47 stars, last pushed yesterday), licensed MIT. It adds 57 tokens to every session and 638 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

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