k1lgor/virtual-company Skills

Use this for complex project planning, full-stack feature implementation, or coordinating multiple skills (Design, Backend, Frontend, Ops) into a cohesive workflow.

Use this whenever the user asks to explain code, generate documentation, write a README, or add inline comments.

Use this when the user reports an error, a crash, a bug, or provides a stack trace.

Use this when the user asks to write tests, increase code coverage, or verify functionality.

Use this when the user asks to refactor, clean up, optimize, or improve code quality.

Use this when the user asks for a security review, vulnerability check, or wants to know if code is safe. Focus on common issues like injection, broken auth, insecure defaults, and sensitive data exposure.

Use this when the user asks about performance, slowness, optimization, or wants to make code more efficient. Focus on hot paths, unnecessary work, and algorithmic complexity.

Use this when the user wants to migrate between libraries, upgrade major versions, or move from one framework to another. Generate step-by-step migration plans and code updates.

Use this when the user needs help with CI/CD configurations, GitHub Actions, GitLab CI, or generic automation scripts. Keep configs simple, readable, and secure.

Use this for Infrastructure as Code (Terraform, CloudFormation), cloud resource setup, networking, IAM policies, and general cloud architecture.

Use this when designing APIs (REST or GraphQL), defining routes, request/response schemas, or writing OpenAPI/Swagger specs.

Use this for SQL queries, database schema design, ETL pipelines, data transformations (pandas/Spark), and data validation.

Use this for UI implementation, component design, state management logic, responsive layouts, and accessibility improvements. (Works for React, Vue, Svelte, etc.)

Use this for server-side implementation, business logic, middleware, service layer design, and backend architecture patterns. (Works for Node, Python, Go, Java, etc.)

Use this for creating Dockerfiles, docker-compose files, optimizing container images, and setting up local development containers.

Use this for writing Kubernetes manifests (YAML), setting up Deployments, Services, Ingress, ConfigMaps, and managing Helm charts.

Use this for exploratory data analysis (EDA), generating visualizations, finding trends, and deriving insights from datasets using Python (Pandas/Seaborn/Plotly) or SQL.

Use this for mobile app development (iOS/Android), cross-platform frameworks (Flutter, React Native), and mobile-specific UI/UX patterns.

Use this for building machine learning models, feature engineering, training pipelines, and integrating predictions into applications.

Use this for setting up monitoring, logging, distributed tracing, and alerting for applications and infrastructure.