Implement proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design. Use when architecting complex backend systems or refactoring existing ...
Scanned 5/29/2026
Install via CLI
openskills install ratnesh-maurya/cursor-claude-personas---
name: architecture-patterns
description: "Implement proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design. Use when architecting complex backend systems or refactoring existing ..."
risk: unknown
source: community
date_added: "2026-02-27"
---
# Architecture Patterns
Master proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design to build maintainable, testable, and scalable systems.
## Use this skill when
- Designing new backend systems from scratch
- Refactoring monolithic applications for better maintainability
- Establishing architecture standards for your team
- Migrating from tightly coupled to loosely coupled architectures
- Implementing domain-driven design principles
- Creating testable and mockable codebases
- Planning microservices decomposition
## Do not use this skill when
- You only need small, localized refactors
- The system is primarily frontend with no backend architecture changes
- You need implementation details without architectural design
## Instructions
1. Clarify domain boundaries, constraints, and scalability targets.
2. Select an architecture pattern that fits the domain complexity.
3. Define module boundaries, interfaces, and dependency rules.
4. Provide migration steps and validation checks.
5. For workflows that must survive failures (payments, order fulfillment, multi-step processes), use durable execution at the infrastructure layer — frameworks like DBOS persist workflow state, providing crash recovery without adding architectural complexity.
Refer to `resources/implementation-playbook.md` for detailed patterns, checklists, and templates.
## Related Skills
Works well with: `event-sourcing-architect`, `saga-orchestration`, `workflow-automation`, `dbos-*`
## Resources
- `resources/implementation-playbook.md` for detailed patterns, checklists, and templates.
No comments yet. Be the first to comment!
Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.
Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...
**Complete production-ready guide for Google Gemini embeddings API** This skill provides comprehensive coverage of the `gemini-embedding-001` model for generating text embeddings, including SDK usage, REST API patterns, batch processing, RAG integration with Cloudflare Vectorize, and advanced use cases like semantic search and document clustering. ---
Interview, source-challenge, verify, save, and ADR-gate fuzzy coding requests into Codex-ready implementation specs. Use when a feature, bugfix, refactor, migration, repo-wide change, or architecture task needs user-verified requirements, source-backed decisions, durable architecture decisions, acceptance criteria, validation commands, rollout notes, saved spec/ADR files, and a Codex execution prompt. Do not use when already fully specified or when the user wants direct implementation now.
Use when a repo needs CodeGraph plus ast-grep for Codex MCP setup, exploration, impact analysis, structural search, or safe refactor planning.