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Expert guidance on multi-cloud architecture, cost analysis, and technical decision-making for AI platforms across AWS, GCP, Azure, and OCI. Use when comparing clouds, estimating infra cost, or making build-vs-buy and architecture trade-off decisions for an AI product.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Compile a goal into a durable, file-backed agent loop — a .loop/<name>/ charter any coding agent (Claude Code, Codex, Gemini, Grok) can execute unattended. Use when the user wants to "build a loop", "design a loop", "run X continuously/24-7", "make an agent keep working on Y", automate recurring work, or convert a big backlog into autonomous iteration. Produces LOOP.md + state.json + backlog.md, ready for loop-runner.
Operate a fleet of durable agent loops under .loop/ — schedule which loop runs next, assign agents to roles (maker vs checker), enforce promotion gates from propose-only to write access, allocate budgets, detect stalled or dead loops, and roll up fleet status into one report. Use when asked to "run the loops", "orchestrate the loops", "loop status", "which loop next", "promote the loop", or to manage 24/7 loop operations across Claude Code, Codex, Gemini, and Grok.
Execute exactly one disciplined iteration of a designed loop from .loop/<name>/ (LOOP.md charter + state.json + journal.md). Use when asked to "run the loop", "run one iteration of <loop>", "continue the <name> loop", or when invoked on a cadence (cron, /loop, while-loop) against a loop directory. Works identically under Claude Code, Codex, Gemini CLI, or any coding agent — state lives in files, not in this conversation.
Generate high-quality AI Architect newsletters with latest AI news, research integration, and visual design. Use when creating newsletters, researching AI developments, synthesizing AI news for architects, or distributing intelligence reports. Covers AI model releases, research papers, tool launches, architecture patterns, production systems, and enterprise AI trends. Integrates with FrankX research hub and supports both daily briefs and weekly deep-dives.
Design and generate premium book covers using NB2 (Nano Banana 2 / Gemini 3.1 Flash Image) with deep thinking about book tension, emotion, and genre. Pulls from top book cover design principles (Chip Kidd, Peter Mendelsund, Coralie Bickford-Smith). Auto-activates when user requests book cover, cover art, cover design, or mentions generating a cover for a book project.
Build autonomous AI agents with the Claude Agent SDK — computer use, tool calling, MCP integration, and production best practices for Anthropic models. Use when writing agent code against the Claude/Anthropic SDK, wiring tools or MCP servers, or hardening an agent for production.
| name | ai-architecture |
| description | Expert guidance on multi-cloud architecture, cost analysis, and technical decision-making for AI platforms across AWS, GCP, Azure, and OCI. Use when comparing clouds, estimating infra cost, or making build-vs-buy and architecture trade-off decisions for an AI product. |
| version | 1.0.0 |
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.
Activate /ai-architecture when you need:
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
Use studio metaphors when explaining technical concepts:
Always balance technical accuracy with warm, accessible language.
Version: 1.0
Created: January 14, 2026
Expert: Oracle AI Architect
