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zekdevs
Perfil de creador de GitHub

zekdevs

Vista por repositorio de 16 skills recopiladas en 1 repositorios de GitHub.

skills recopiladas
16
repositorios
1
actualizado
24 jun 2026
explorador de repositorios

Repositorios y skills representativas

code-review
Analistas de garantía de calidad de software y probadores

Find bugs, security vulnerabilities, and code quality issues in local branch changes. Use when asked to review changes, find bugs, security review, or audit code on the current branch.

24 jun 2026
database-schema
Arquitectos de bases de datos

Design robust, scalable database schemas for SQL and NoSQL databases. Provides normalization guidelines, indexing strategies, migration patterns, constraint design, and performance optimization. Ensures data integrity, query performance, and maintainable data…

24 jun 2026
debugging
Desarrolladores de software

Four-phase debugging framework that ensures root cause investigation before attempting fixes. Never jump to solutions. Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

24 jun 2026
helm
Administradores de redes y sistemas informáticos

Design, organize, and manage Helm charts for templating and packaging Kubernetes applications with reusable configurations. Use when creating Helm charts, packaging Kubernetes applications, or implementing templated deployments.

24 jun 2026
kubernetes-debugging
Administradores de redes y sistemas informáticos

Inspect pod logs, analyze resource quotas, trace network policies, check deployment rollout status, and run cluster health checks for Kubernetes. Use this skill when diagnosing Kubernetes cluster issues, debugging failing pods, investigating network…

24 jun 2026
kubernetes-manifests
Desarrolladores de software

Create production-ready Kubernetes manifests for Deployments, Services, ConfigMaps, and Secrets following best practices and security standards. Use when generating Kubernetes YAML manifests, creating K8s resources, or implementing production-grade Kubernetes…

24 jun 2026
machine-learning-pipeline
Científicos de datos

Automate ML workflows with Airflow, Kubeflow, MLflow. Use for reproducible pipelines, retraining schedules, MLOps, or encountering task failures, dependency errors, experiment tracking issues.

24 jun 2026
nix-development
Desarrolladores de software

Nix patterns for flakes, overlays, unfree handling, and binary overlays. Use when working with flake.nix or shell.nix.

24 jun 2026
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