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- Claude Supercode Skills
- Fullstack Developer Skill
fullstack-developer-skill_skill
- Python
21
GitHub Stars
3
Bundled Files
2 months ago
Catalog Refreshed
4 months ago
First Indexed
Readme & install
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Installation
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npx veilstrat add skill 404kidwiz/claude-supercode-skills --skill fullstack-developer-skill- EXAMPLES.md10.3 KB
- REFERENCE.md12.0 KB
- SKILL.md7.0 KB
Overview
This skill provides end-to-end full-stack development expertise, owning features from database schema to user interface. It focuses on seamless frontend-backend integration, system architecture decisions, and production-ready implementation across modern web stacks.
How this skill works
I inspect the full feature lifecycle: data models, API contracts, backend services, frontend components, and deployment pipelines. I recommend architecture patterns, design API-first contracts, implement authentication and real-time flows, and deliver integrated code examples with deployment guidance.
When to use it
- Building a complete feature end-to-end (database → API → frontend)
- Integrating frontend and backend systems (REST/GraphQL, WebSockets, SSE)
- Designing or validating full-stack architecture (monolith, modular, microservices)
- Implementing authentication, authorization, and security across layers
- Optimizing cross-layer performance and debugging multi-tier issues
Best practices
- Design API contracts first and document them with OpenAPI or GraphQL schema
- Prefer a modular monolith for small teams, microservices when clear service boundaries exist
- Centralize state management and follow predictable data flow patterns on the frontend
- Enforce input validation, proper HTTP status codes, and consistent error responses
- Automate CI/CD, containerize environments, and add observability (logs, metrics, tracing)
Example use cases
- Implementing a new CRUD feature: DB schema → REST/GraphQL API → React/Vue UI with tests
- Adding real-time notifications via WebSockets and ensuring backend scaling
- Migrating a monolith into modular services with an API gateway and versioning strategy
- Securing an app with JWT/OAuth flows, role-based access, and session handling
- Improving end-to-end performance with caching, query tuning, and client-side code splitting
FAQ
Use GraphQL for complex, nested data needs or flexible client queries; choose REST for simple CRUD, predictable caching, or simpler operational requirements.
What architecture is best for a small startup team?
Start with a monolith or modular monolith for faster iteration and simpler deployment; split into microservices when team size, independent scaling, or clear domain boundaries justify it.