architecture-patterns
System and API design guidance covering component boundaries, data flow, integration patterns, and scalability considerations.
npx skills add a5c-ai/babysitter --skill architecture-patterns --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
- Single responsibility boundaries - Interface contracts and type safety - Dependency injection patterns - Module cohesion and coupling analysis ### Data Flow - Request/response patterns - Event-driven architecture - State management strategies - Data transformation pipelines ### Integration Patterns - API design (REST, GraphQL, RPC) - Message queuing and async processing - Service boundaries and communication - Error propagation across boundaries ### Scalability - Horizontal vs vertical scaling considerations - Caching strategies - Database design and query optimization - Load balancing and distribution ## Decision Checkpoints Architectural decisions require user approval when: - Introducing new service boundaries - Changing data flow patterns - Adding new external dependencies - Modifying public API contracts ## When to Use - During PLAN workflow architecture phases - During BUILD when architectural choices arise - When reviewing system design in REVIEW workflow ## Agents Used - `planner` (architecture planning) - `component-builder` (architecture implementation) - `code-reviewer` (architecture review)
- Data Flow
- Integration Patterns
- Scalability
- Decision Checkpoints
- When to Use
- Agents Used
What does the architecture-patterns skill do?
System and API design guidance covering component boundaries, data flow, integration patterns, and scalability considerations.
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill architecture-patterns --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.