.claude/skills/senior-backend/SKILL.md
Comprehensive backend development skill for building scalable backend systems using NodeJS, Express, Go, Python, Postgres, GraphQL, REST APIs. Includes API scaffolding, database optimization, security implementation, and performance tuning. Use when designing APIs, optimizing database queries, implementing business logic, handling authentication/authorization, or reviewing backend code.
npx skillsauth add efiadm/informatik-ai-studio senior-backendInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Complete toolkit for senior backend with modern tools and best practices.
This skill provides three core capabilities through automated scripts:
# Script 1: Api Scaffolder
python scripts/api_scaffolder.py [options]
# Script 2: Database Migration Tool
python scripts/database_migration_tool.py [options]
# Script 3: Api Load Tester
python scripts/api_load_tester.py [options]
Automated tool for api scaffolder tasks.
Features:
Usage:
python scripts/api_scaffolder.py <project-path> [options]
Comprehensive analysis and optimization tool.
Features:
Usage:
python scripts/database_migration_tool.py <target-path> [--verbose]
Advanced tooling for specialized tasks.
Features:
Usage:
python scripts/api_load_tester.py [arguments] [options]
For database schema design and migration planning, use the database-architect agent FIRST before using the implementation tools in this skill.
| Component | Role |
|-----------|------|
| database-architect Agent | PLANNING - Designs database schemas, indexes, relationships, and migration strategies |
| This Skill (senior-backend) | IMPLEMENTATION - Provides tools for executing migrations and optimizing queries |
Recommended Workflow:
database-architect agent to create the schema plandatabase_migration_tool.py from this skill to implement migrationsdatabase_optimization_guide.md for query tuningComprehensive guide available in references/api_design_patterns.md:
Complete workflow documentation in references/database_optimization_guide.md:
Technical reference guide in references/backend_security_practices.md:
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
<!-- mixin-source: development-workflow v1.0.0 --># Install dependencies
npm install
# or
pip install -r requirements.txt
# Configure environment
cp .env.example .env
# Use the analyzer script
python scripts/database_migration_tool.py .
# Review recommendations
# Apply fixes
Follow the patterns and practices documented in:
references/api_design_patterns.mdreferences/database_optimization_guide.mdreferences/backend_security_practices.md# Development
npm run dev
npm run build
npm run test
npm run lint
# Analysis
python scripts/database_migration_tool.py .
python scripts/api_load_tester.py --analyze
# Deployment
docker build -t app:latest .
docker-compose up -d
kubectl apply -f k8s/
<!-- mixin-source: troubleshooting v1.0.0 -->
Check the comprehensive troubleshooting section in references/backend_security_practices.md.
references/api_design_patterns.mdreferences/database_optimization_guide.mdreferences/backend_security_practices.mdscripts/ directorydevelopment
Comprehensive frontend development skill for building modern, performant web applications using ReactJS, NextJS, TypeScript, Tailwind CSS. Includes component scaffolding, performance optimization, bundle analysis, and UI best practices. Use when developing frontend features, optimizing performance, implementing UI/UX designs, managing state, or reviewing frontend code.
tools
Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup, infrastructure as code, deployment automation, and monitoring. Use when setting up pipelines, deploying applications, managing infrastructure, implementing monitoring, or optimizing deployment processes.
development
World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business intelligence. Includes experiment design, feature engineering, model evaluation, and stakeholder communication. Use when designing experiments, building predictive models, performing causal analysis, or driving data-driven decisions.
development
World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, or implementing data governance.