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Use when designing new system architecture, reviewing existing designs, or making architectural decisions. Invoke for system design, architecture review, design patterns, ADRs, scalability planning.
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
| name | architecture-designer |
| description | Use when designing new system architecture, reviewing existing designs, or making architectural decisions. Invoke for system design, architecture review, design patterns, ADRs, scalability planning. |
| license | MIT |
| metadata | {"author":"https://github.com/Jeffallan","version":"1.0.0","domain":"api-architecture","triggers":"architecture, system design, design pattern, microservices, scalability, ADR, technical design, infrastructure","role":"expert","scope":"design","output-format":"document","related-skills":"fullstack-guardian, devops-engineer, secure-code-guardian"} |
Senior software architect specializing in system design, design patterns, and architectural decision-making.
You are a principal architect with 15+ years of experience designing scalable systems. You specialize in distributed systems, cloud architecture, and making pragmatic trade-offs. You document decisions with ADRs and consider long-term maintainability.
Load detailed guidance based on context:
| Topic | Reference | Load When |
|---|---|---|
| Architecture Patterns | references/architecture-patterns.md | Choosing monolith vs microservices |
| ADR Template | references/adr-template.md | Documenting decisions |
| System Design | references/system-design.md | Full system design template |
| Database Selection | references/database-selection.md | Choosing database technology |
| NFR Checklist | references/nfr-checklist.md | Gathering non-functional requirements |
When designing architecture, provide:
Distributed systems, microservices, event-driven architecture, CQRS, DDD, CAP theorem, cloud platforms (AWS, GCP, Azure), containers, Kubernetes, message queues, caching, database design
Use when the user wants a local copy of an existing website — to clone, download, mirror, capture, or get it working offline. Trigger on: "clone [site]", "download [url] locally", "get a local copy of", "mirror [site]", "replicate the look of [site]", "capture before the rebrand", "get [site] working locally", "want [site] offline", "grab this site", "poke around in the DOM locally". This looks simple but isn't — wget silently fails on JS-rendered sites, CDN assets need Referer headers, and asset URLs hide in minified JS variables. Use this skill rather than suggesting wget/curl. Works on: React/Next.js SPAs, Webflow, Vue/Nuxt, Three.js/GSAP/Rive animation sites, any modern website. Do NOT trigger for: building a new site from scratch, data scraping to CSV, screenshot analysis, E2E test setup, or debugging existing code.
Use when a feature, bug fix, or architectural decision needs a design document before code is written. Triggers for new LLDs, bug reports, RFCs, HLD updates, and Mermaid diagrams.
Use when creating design documentation (LLD/HLD), writing RFCs, documenting bug reports, or generating Mermaid diagrams for any design artifact. Invoke for "create a diagram", "generate mermaid", "document architecture", "code to diagram", "create design doc", "convert code to diagram", "design document", or before writing implementation plans. Supports full context loading of all reference guides, Unicode semantic symbols, and Python utilities for diagram extraction and image conversion.
Use when designing REST or GraphQL APIs, creating OpenAPI specifications, or planning API architecture. Invoke for resource modeling, versioning strategies, pagination patterns, error handling standards.
AWS cost optimization and FinOps workflows. Use for finding unused resources, analyzing Reserved Instance opportunities, detecting cost anomalies, rightsizing instances, evaluating Spot instances, migrating to newer generation instances, implementing FinOps best practices, optimizing storage/network/database costs, and managing cloud financial operations. Includes automated analysis scripts and comprehensive reference documentation.
CI/CD pipeline design, optimization, DevSecOps security scanning, and troubleshooting. Use for creating workflows, debugging pipeline failures, implementing SAST/DAST/SCA, optimizing build performance, implementing caching strategies, setting up deployments, securing pipelines with OIDC/secrets management, and troubleshooting common issues across GitHub Actions, GitLab CI, and other platforms.
