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Created comprehensive skill collection covering all aspects of modern software development with production-ready patterns, best practices, and detailed documentation. ## Skills Organized by Domain ### Code Quality & Architecture (2 skills) - advanced-code-refactoring: SOLID principles, design patterns, refactoring patterns - code-review: Automated/manual review, security, performance, maintainability ### API & Integration (2 skills) - api-integration-expert: REST/GraphQL/WebSocket with auth, retry, caching - graphql-schema-design: Schema design, resolvers, optimization, subscriptions ### Database & Data (3 skills) - database-optimization: SQL/NoSQL tuning, indexing, query optimization - data-pipeline: ETL/ELT with Airflow, Spark, dbt - caching-strategies: Redis, Memcached, CDN, invalidation patterns ### Security & Authentication (2 skills) - security-audit: OWASP Top 10, vulnerability scanning, security hardening - auth-implementation: OAuth2, JWT, session management, SSO ### Testing & Quality (2 skills) - test-automation: Unit/integration/E2E tests, TDD/BDD, coverage - performance-profiling: CPU/memory profiling, Core Web Vitals optimization ### DevOps & Infrastructure (3 skills) - docker-kubernetes: Containerization, orchestration, production deployments - ci-cd-pipeline: GitHub Actions, automated testing, deployment strategies - logging-monitoring: Observability with Datadog, Prometheus, Grafana, ELK ### Frontend Development (3 skills) - frontend-accessibility: WCAG 2.1 compliance, ARIA, keyboard navigation - ui-component-library: Design systems with React/Vue, Storybook - mobile-responsive: Responsive design, mobile-first, PWAs ### Backend & Scaling (2 skills) - backend-scaling: Load balancing, sharding, microservices, horizontal scaling - real-time-systems: WebSockets, SSE, WebRTC for real-time features ### ML & AI (1 skill) - ml-model-integration: Model serving, inference optimization, monitoring ### Development Tools (2 skills) - git-workflow-optimizer: Git workflows, branching strategies, conflict resolution - dependency-management: Package updates, security patches, version conflicts ### Code Maintenance (3 skills) - error-handling: Robust error patterns, logging, graceful degradation - documentation-generator: API docs, README, technical specifications - migration-tools: Database/framework migrations with zero downtime ## Key Features Each skill includes: - YAML frontmatter with name, description, allowed tools - Clear purpose and when to use - Comprehensive capabilities overview - Production-ready code examples - Best practices and patterns - Success criteria - Tool-specific configurations ## Highlights - 25 comprehensive skills covering full development lifecycle - Production-ready patterns and examples - Security-first approach throughout - Performance optimization built-in - Comprehensive testing strategies - DevOps automation and infrastructure as code - Modern frontend with accessibility focus - Scalable backend architectures - Data engineering and ML integration - Advanced Git workflows ## File Structure claude_skills/ ├── README.md (comprehensive documentation) ├── advanced-code-refactoring/ │ ├── SKILL.md (main skill definition) │ ├── reference.md (design patterns, SOLID principles) │ └── examples.md (refactoring examples) ├── api-integration-expert/ │ └── SKILL.md (REST/GraphQL/WebSocket integration) ├── [23 more skills...] Total: 25 skills + comprehensive README + supporting documentation ## Usage Personal skills: cp -r claude_skills/* ~/.claude/skills/ Project skills: cp -r claude_skills/* .claude/skills/ Skills automatically activate based on context and description triggers.
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| name | description | allowed-tools |
|---|---|---|
| docker-kubernetes | Expert in containerization with Docker and orchestration with Kubernetes including deployment, scaling, networking, and production-grade configurations. Use for containerizing applications, Kubernetes deployments, microservices architecture, or DevOps automation. | Read, Write, Edit, Grep, Glob, Bash |
Docker & Kubernetes Expert
Purpose
Master containerization and orchestration for scalable, production-ready deployments.
Key Areas
- Dockerfile optimization (multi-stage builds, layer caching)
- Kubernetes manifests (Deployments, Services, Ingress)
- Helm charts and package management
- ConfigMaps and Secrets management
- Resource limits and requests
- Health checks (liveness, readiness, startup probes)
- Horizontal Pod Autoscaling (HPA)
- Service mesh (Istio, Linkerd)
- CI/CD integration
Example Dockerfile
# Multi-stage build
FROM node:18-alpine AS builder
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production
COPY . .
RUN npm run build
FROM node:18-alpine
RUN apk add --no-cache dumb-init
WORKDIR /app
COPY --from=builder /app/dist ./dist
COPY --from=builder /app/node_modules ./node_modules
EXPOSE 3000
USER node
ENTRYPOINT ["dumb-init", "--"]
CMD ["node", "dist/main.js"]
Kubernetes Deployment
apiVersion: apps/v1
kind: Deployment
metadata:
name: app
spec:
replicas: 3
selector:
matchLabels:
app: myapp
template:
metadata:
labels:
app: myapp
spec:
containers:
- name: app
image: myapp:1.0.0
ports:
- containerPort: 3000
resources:
requests:
memory: "128Mi"
cpu: "100m"
limits:
memory: "256Mi"
cpu: "200m"
livenessProbe:
httpGet:
path: /health
port: 3000
initialDelaySeconds: 30
periodSeconds: 10
readinessProbe:
httpGet:
path: /ready
port: 3000
initialDelaySeconds: 5
periodSeconds: 5
---
apiVersion: v1
kind: Service
metadata:
name: app-service
spec:
selector:
app: myapp
ports:
- port: 80
targetPort: 3000
type: LoadBalancer
Success Criteria
- ✓ Images < 500MB
- ✓ Build time < 5min
- ✓ Zero-downtime deployments
- ✓ Auto-scaling configured
- ✓ Monitoring and logging