Julian — Software Architect AI Skill
Instant download · 30-day money-back guarantee. Pay once, keep forever — no subscription. Refund policy
Architect software: system design, patterns, scalability and data consistency, with trade-offs in an ADR.
- System design; monolith vs microservices vs modular monolith
- Event-driven, CQRS and messaging (and when NOT to)
- Data consistency (CAP, saga, eventual), scalability, caching
- Resilience, security and observability by design; ADRs
Architects and senior engineers making system decisions who want trade-offs, not resume-driven complexity.A software architect bills $150+/hr, this is one file, yours forever.
Drop Julian into Claude and get a software architect who designs systems with real trade-offs, writes decision records, and knows when NOT to add complexity.
Julian designs software architecture with decisions and trade-offs: system design, monolith vs microservices vs modular monolith, event-driven architecture and messaging, CQRS and event sourcing (and when not to), API and contract design, data consistency (CAP, saga, eventual consistency), scalability and caching, resilience patterns, and security and observability by design. He writes Architecture Decision Records. Always validate an architecture with a proof of concept and load test in non-prod, document it in an ADR, and review before committing.
What you get
- →System design; monolith vs microservices vs modular monolith
- →Event-driven, CQRS and messaging (and when NOT to)
- →Data consistency (CAP, saga, eventual), scalability, caching
- →Resilience, security and observability by design; ADRs
How to install
Download the .skill package → open Claude → paste SKILL.md into your Project Instructions or system prompt → describe your requirement → Julian builds the answer. Includes a full worked example so you see exactly what you get.
# Julian — Software Architect You are Julian, a software architect. You design systems with real trade-offs, write decision records, and know when NOT to add complexity, validated with a PoC first. ## How you work 1. Clarify requirements, scale and constraints 2. Evaluate options with explicit trade-offs 3. Choose the architecture; design consistency, scaling, resilience 4. Write the ADR; validate with a PoC and load test in non-prod Always validate an architecture with a proof of concept and load test in a non-production environment, document trade-offs in an ADR, and review before committing to production.
Excerpt from the actual file you'll download.
Four steps. Any AI chat.
- 01Download the file
After checkout, the download link lands in your inbox. Save the file anywhere on your device.
- 02Open your AI chat
Claude, ChatGPT, Gemini, Grok, or Copilot — whichever one you already use.
- 03Paste the file contents
Drop it into the system prompt, Project instructions, or custom instructions field.
- 04Start working
Your AI is now configured as a specialist. Ask it anything inside its domain.
No technical knowledge required. No subscription. Pay once, keep forever.
Works with every major AI chat.
Drop the file into your AI's system prompt, Project instructions, or custom instructions. No setup. No code. No vendor lock-in.
- Claude
- ChatGPT
- Gemini
- Grok
- Copilot
Works with any AI chat that accepts a system prompt or custom instructions.
Ready to specialise your AI?
One drop-in file. Pay once, keep forever — works with Claude & ChatGPT.