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claude-skills-vault

A curated collection of high impact skills for Claude Code designed to supercharge the senior full stack workflow. This vault automates the repetitive parts of development like architectural reviews, TDD cycles, and PR management so you can stay in flow. It is a force multiplier for shipping clean, production ready code at scale. 🚀⚡️

25estrelas
Atualizado há 4 meses

Ver no GitHub ↗ Licença: MIT

Como adicionar

/plugin marketplace add georgekhananaev/claude-skills-vault

O comando exato pode variar conforme o repositório. Confira o README no GitHub.

Para o autor da skill

Cole no README do seu repo

Mostra que sua skill está catalogada na Skillteca, gera backlink e tráfego rastreável.

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Ler descrição completa

System Architect Skill

Design scalable, maintainable software systems.

When to Use

  • Designing new system/feature
  • Evaluating architectural trade-offs
  • API/database/caching decisions
  • Commands: /architect, /design, /system-design

Capabilities

1. System Design

  • Microservices vs monolith
  • API design (REST, GraphQL, gRPC)
  • DB selection & schema design
  • Caching & message queues
  • Event-driven systems

2. Scalability

  • Horizontal/vertical scaling
  • Load balancing & sharding
  • CDN & auto-scaling

3. Reliability

  • HA patterns & DR planning
  • Circuit breaker & retry
  • Graceful degradation

4. Security

  • Auth systems (OAuth, JWT, SSO)
  • Authorization (RBAC, ABAC)
  • API security & encryption

Architecture Decision Process

Step 1: Requirements

1. Functional: Core features, workflows, integrations
2. Non-Functional: Performance, scalability, availability, security, budget
3. Constraints: Tech stack, team expertise, timeline, existing systems

Step 2: Pattern Selection

Reference patterns.json for patterns, tech recommendations, trade-offs.

Step 3: Design Doc Template

# Architecture Design Document

## 1. Overview
[High-level description]

## 2. Goals & Non-Goals

## 3. Architecture
### System Diagram
### Components
| Component | Responsibility | Technology |
|-----------|---------------|------------|

### Data Flow

## 4. Technical Decisions
### Decision 1: [Title]
- Context | Options | Decision | Rationale

## 5. API Design
## 6. Data Model
## 7. Security
## 8. Scalability
## 9. Monitoring & Observability
## 10. Risks & Mitigations

Pattern Reference

Communication

| Pattern | Use When | Trade-offs | |---------|----------|------------| | Sync REST | Simple CRUD | Tight coupling | | Async Queue | Decoupling | Complexity | | Event Sourcing | Audit trail | Storage | | CQRS | Read/write opt | Eventual consistency | | GraphQL | Flexible queries | Caching | | gRPC | High perf | Browser support |

Data

| Pattern | Use When | Trade-offs | |---------|----------|------------| | SQL | ACID, complex queries | Scaling | | NoSQL | Flexibility, scale | Consistency | | Cache-aside | Read-heavy | Invalidation |

Resilience

| Pattern | Purpose | |---------|---------| | Circuit Breaker | Prevent cascade failures | | Retry w/ Backoff | Handle transient failures | | Bulkhead | Isolate failures | | Timeout | Prevent hanging | | Fallback | Graceful degradation |

Project Structures

Reference structures.json for:

  • Python: FastAPI, Django
  • TypeScript: Next.js, React, Express
  • Java: Spring Boot
  • Go: Standard Layout

Tech Stack Recommendations

Web Apps

Frontend: React/Next.js, Vue/Nuxt, Angular
Backend: Node.js, Go, Python (FastAPI), Rust
DB: PostgreSQL, MongoDB
Cache: Redis | Queue: RabbitMQ, SQS, Kafka
Search: Elasticsearch, Meilisearch

Real-time

WebSocket: Socket.io, ws
Pub/Sub: Redis, Kafka

Data-Intensive

Processing: Spark, Flink
Storage: S3, GCS
Warehouse: Snowflake, BigQuery
Pipeline: Airflow, Dagster

Diagramming

ASCII Component

┌─────────────┐     ┌─────────────┐     ┌─────────────┐
│   Client    │────▶│ API Gateway │────▶│  Services   │
└─────────────┘     └─────────────┘     └─────────────┘
                           │                   │
                           ▼                   ▼
                    ┌─────────────┐     ┌─────────────┐
                    │    Auth     │     │  Database   │
                    └─────────────┘     └─────────────┘

Mermaid Sequence

sequenceDiagram
    Client->>API: Request
    API->>Auth: Validate Token
    Auth-->>API: Valid
    API->>Service: Process
    Service->>DB: Query
    DB-->>Service: Data
    Service-->>API: Response
    API-->>Client: Response

Evaluation Criteria

| Criterion | Weight | Description | |-----------|--------|-------------| | Scalability | High | Can it handle growth? | | Maintainability | High | Easy to modify/debug? | | Performance | Med-High | Meets latency/throughput? | | Cost | Medium | Infra + dev cost | | Security | High | Meets requirements? | | Complexity | Medium | Team can build/operate? |

Output Templates

Quick Decision

**Question**: [What needs deciding]
**Recommendation**: [Approach]
**Rationale**: [Why]
**Trade-offs**: [Accepting]
**Alternatives**: [Other options]

Integration

  • code-reviewer: Validate impl matches design
  • postgres-mcp: DB schema design
  • jira-bridge: Create impl tickets
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