senior-architect
The senior-architect skill provides a comprehensive toolkit for designing scalable systems across modern technology stacks including React, Next.js, Node.js, Express, React Native, Swift, Kotlin, Flutter, PostgreSQL, GraphQL, Go, and Python. It offers three automated scripts for architecture diagram generation, project architecture analysis, and dependency analysis, along with reference documentation on architecture patterns, system design workflows, and technology decision frameworks. Use this skill when designing system architectures, evaluating technology trade-offs, creating architecture diagrams, analyzing project dependencies, or defining integration patterns for complex applications.
git clone --depth 1 https://github.com/maslennikov-ig/claude-code-orchestrator-kit /tmp/senior-architect && cp -r /tmp/senior-architect/.claude/skills/senior-architect ~/.claude/skills/senior-architectSKILL.md
# Senior Architect Complete toolkit for senior architect with modern tools and best practices. ## Quick Start ### Main Capabilities This skill provides three core capabilities through automated scripts: ```bash # Script 1: Architecture Diagram Generator python scripts/architecture_diagram_generator.py [options] # Script 2: Project Architect python scripts/project_architect.py [options] # Script 3: Dependency Analyzer python scripts/dependency_analyzer.py [options] ``` ## Core Capabilities ### 1. Architecture Diagram Generator Automated tool for architecture diagram generator tasks. **Features:** - Automated scaffolding - Best practices built-in - Configurable templates - Quality checks **Usage:** ```bash python scripts/architecture_diagram_generator.py <project-path> [options] ``` ### 2. Project Architect Comprehensive analysis and optimization tool. **Features:** - Deep analysis - Performance metrics - Recommendations - Automated fixes **Usage:** ```bash python scripts/project_architect.py <target-path> [--verbose] ``` ### 3. Dependency Analyzer Advanced tooling for specialized tasks. **Features:** - Expert-level automation - Custom configurations - Integration ready - Production-grade output **Usage:** ```bash python scripts/dependency_analyzer.py [arguments] [options] ``` ## Reference Documentation ### Architecture Patterns Comprehensive guide available in `references/architecture_patterns.md`: - Detailed patterns and practices - Code examples - Best practices - Anti-patterns to avoid - Real-world scenarios ### System Design Workflows Complete workflow documentation in `references/system_design_workflows.md`: - Step-by-step processes - Optimization strategies - Tool integrations - Performance tuning - Troubleshooting guide ### Tech Decision Guide Technical reference guide in `references/tech_decision_guide.md`: - Technology stack details - Configuration examples - Integration patterns - Security considerations - Scalability guidelines ## Tech Stack **Languages:** TypeScript, JavaScript, Python, Go, Swift, Kotlin **Frontend:** React, Next.js, React Native, Flutter **Backend:** Node.js, Express, GraphQL, REST APIs **Database:** PostgreSQL, Prisma, NeonDB, Supabase **DevOps:** Docker, Kubernetes, Terraform, GitHub Actions, CircleCI **Cloud:** AWS, GCP, Azure ## Development Workflow ### 1. Setup and Configuration ```bash # Install dependencies npm install # or pip install -r requirements.txt # Configure environment cp .env.example .env ``` ### 2. Run Quality Checks ```bash # Use the analyzer script python scripts/project_architect.py . # Review recommendations # Apply fixes ``` ### 3. Implement Best Practices Follow the patterns and practices documented in: - `references/architecture_patterns.md` - `references/system_design_workflows.md` - `references/tech_decision_guide.md` ## Best Practices Summary ### Code Quality - Follow established patterns - Write comprehensive tests - Document decisions - Review regularly ### Performance - Measure before optimizing - Use appropriate caching - Optimize critical paths - Monitor in production ### Security - Validate all inputs - Use parameterized queries - Implement proper authentication - Keep dependencies updated ### Maintainability - Write clear code - Use consistent naming - Add helpful comments - Keep it simple ## Common Commands ```bash # Development npm run dev npm run build npm run test npm run lint # Analysis python scripts/project_architect.py . python scripts/dependency_analyzer.py --analyze # Deployment docker build -t app:latest . docker-compose up -d kubectl apply -f k8s/ ``` ## Troubleshooting ### Common Issues Check the comprehensive troubleshooting section in `references/tech_decision_guide.md`. ### Getting Help - Review reference documentation - Check script output messages - Consult tech stack documentation - Review error logs ## Resources - Pattern Reference: `references/architecture_patterns.md` - Workflow Guide: `references/system_design_workflows.md` - Technical Guide: `references/tech_decision_guide.md` - Tool Scripts: `scripts/` directory
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
Initialize Beads issue tracking in your project with interactive configuration setup.
Calculate priority score for bugs, issues, or tasks based on severity, impact, and likelihood. Use for bug prioritization, task ordering, or risk assessment.
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
Inline orchestration workflow for dead code detection and removal with Beads integration. Provides step-by-step phases for dead-code-hunter detection, priority-based cleanup with dead-code-remover, and verification cycles.