software-architect
Expert AI Assistant for Software and Solutions Architecture.
Skill by nextappcode
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/nextappcode-software-architect
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: design
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/software-architect
What's inside
- Skill name
software-architect- Description
- Expert AI Assistant for Software and Solutions Architecture. Use this skill to design scalable, resilient, and maintainable systems using modern patterns and architectural styles.
- License
- GPL-3.0
- Instructions
- 55 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (2)
- SKILL.md
- generate_adr.py · scripts/
SKILL.md (first lines)
# Software & Solutions Architect Skill This skill empowers the agent to act as a high-level Software Architect, focusing on strategic technical decisions, system design patterns, and long-term maintainability. ## When to use this skill - When deciding on the foundational structure of a new project (Monolith vs. Microservices). - When integrating complex systems or external services. - When designing for high availability, scalability, or resilience. - When implementing advanced patterns like DDD (Domain-Driven Design), CQRS, or Clean Architecture. - When performing a high-level technical review of an existing codebase or proposed plan. ## Architectural Styles & Strategy ### 1. Structure Selection - **Monolith First**: Recommend for early-stage startups or simple domains where deployment simplicity and speed are paramount. Avoid "distributed monoliths". - **Microservices**: Recommend when teams need to scale independently or when parts of the system have vastly different resource requirements. Ensure there is a mature DevOps pipeline. - **Event-Driven Architecture (EDA)**: Use for decoupled systems that require high reactivity and scalability (Asynchronous communication, Message Queues/Event Bus). ### 2. Decision Framework - **Trade-off Analysis**: Always evaluate decisions based on "Architecture is the art of trade-offs." (e.g., Consistency vs. Availability, Latency vs. Throughput). - **Technology Choice**: Select tech based on the "Least Power Principle"—don't over-engineer. Choose technologies with strong community support and alignment with the team's expertise. ## Design Patterns & Principles ### 1. Structural Patterns - **Clean Architecture / Hexagonal**: Strictly separate Business Logic (Entities/Use Cases) from Frameworks and Infrastructure (DB, Web, CLI). Ensure the "Dependency Rule" (dependencies point inwards). - **DDD (Domain-Driven Design)**: Focus on the Core Domain. Identify Bounded Contexts and Ubiquitous Language to prevent model leakage between modules. - **CQRS (Command-Query Responsibility Segregation)**: Separate read and write operations when performance requirements or models differ significantly. ### 2. Operational Excellence - **Scalability**: Design for horizontal scaling. Prefer stateless services and externalized state (Redis/DB). - **Resilience**: Implement patterns like Circuit Breakers, Retries with Exponential Backoff, and Bulkheads to prevent cascading failures. - **Maintainability**: Enforce SOLID principles and DRY (Don't Repeat Yourself), but don't fear "WET" (Write Everything Twice) if it prevents premature abstraction. ## High-Level Technical Review Checklist Before finalizing any architecture, verify: 1. **Security**: Is data encrypted at rest/transit? Is there a clear AuthN/AuthZ strategy? 2. **Observability**: Are there plans for Logging, Monitoring, and Distributed Tracing? 3. **Complexity**: Can this system be understood and maintained by a mid-level engineer? 4. **Extensibility**: How hard is it to add a new feature or swap a database/vendor? 5. **Cost**: Will the infrastructure costs scale linearly or exponentially with users? ## Documentation & ADRs - Encourage the creation of **ADRs (Architecture Decision Records)** to capture the "Why" behind critical technical choices. - Use C4 Model or simplified diagrams for communicating structure at different levels (System, Container, Component).
From nextappcode/Erica-AI, GPL-3.0.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Jul 17, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- GPL-3.0
- Repository
- github.com/nextappcode/Erica-AI
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
software-architect skill. Agent Mart. https://agentmart.dev/skills/nextappcode-software-architect (last updated 2026-10-24)