senior▌
30 indexed skills · max 10 per page
senior-frontend
borghei/claude-skills · Frontend
Frontend development patterns, performance optimization, and automation tools for React/Next.js applications.
senior-devops
alirezarezvani/claude-skills · Productivity
../../../engineering-team/senior-devops/SKILL.md
senior-data-scientist
alirezarezvani/claude-skills · Productivity
../../../engineering-team/senior-data-scientist/SKILL.md
senior-data-engineer
alirezarezvani/claude-skills · Productivity
Production-grade data engineering skill for building scalable, reliable data systems.
senior-qa
alirezarezvani/claude-skills · Productivity
Test automation, coverage analysis, and quality assurance patterns for React and Next.js applications.
senior-prompt-engineer
alirezarezvani/claude-skills · Productivity
../../../engineering-team/senior-prompt-engineer/SKILL.md
senior-architect
alirezarezvani/claude-skills · Productivity
../../../engineering-team/senior-architect/SKILL.md
senior-backend
alirezarezvani/claude-skills · Backend
REST API scaffolding, database optimization, and API load testing for backend systems. \n \n Generates Express/Fastify/Koa route handlers, validation middleware, and TypeScript types from OpenAPI specs or database schemas \n Analyzes database performance, detects missing indexes and N+1 query risks, generates migration files with dry-run support \n Performs HTTP load testing with configurable concurrency, measuring latency percentiles (P50/P95/P99), throughput, and error rates \n Includes workfl
senior-ml-engineer
davila7/claude-code-templates · AI/ML
Production-grade ML engineering expertise for deploying models, building MLOps systems, and scaling AI infrastructure. \n \n Covers model deployment, feature stores, monitoring, and distributed computing with PyTorch, TensorFlow, Spark, and Kubernetes \n Includes LLM integration patterns, RAG system architecture, and fine-tuning workflows using LangChain and LlamaIndex \n Provides production patterns for scalable data processing, real-time inference, A/B testing, and automated retraining pipelin
senior-prompt-engineer
davila7/claude-code-templates · Productivity
Expert guidance on prompt optimization, LLM evaluation, and agentic system design for production AI applications. \n \n Covers advanced prompt engineering patterns, few-shot learning, chain-of-thought techniques, and structured output design for Claude, GPT-4, and other LLMs \n Includes RAG optimization frameworks, LLM evaluation methodologies, and performance tuning strategies with reference documentation \n Provides agentic system design principles, multi-agent orchestration patterns, and depl