Aidas Kriščiūnas
Community@Aidas-dev · Vilnius Lithuania
Making all my work public using the wonderful features of Git and GitHub.
Agent Skills by Aidas Kriščiūnas
Showing 72 vetted skills indexed across 1 GitHub repositories.
higress
Routes Higress tasks to operator CRD or Helm deployment sub-skills.
kubeflow-trainer
Configure Kubeflow Trainer v2.2 TrainJobs and TrainingRuntimes for distributed ML training on Kubernetes.
flagger
Configure Flagger canary, A/B, and blue/green progressive delivery on Kubernetes.
gitea-registry
Manages container images and packages in a Gitea OCI-compatible registry.
talos
Routes Talos Linux requests to the correct sub-skill for CLI, config, or Terraform tasks.
gitea-tea
Automate Gitea repository, issue, pull request, and release workflows using the tea CLI.
dragonfly
Configure and troubleshoot DragonflyDB operator resources on Kubernetes clusters.
kubeflow-training-operator
Configures legacy Kubeflow Training Operator v1 CRDs for distributed training jobs on Kubernetes.
kserve-operator
Create and manage KServe CRDs for model serving on Kubernetes clusters.
gitea-api
Automate Gitea REST API operations for repositories, issues, pull requests, and admin tasks.
tekton-pipelines
Author Tekton PipelineRun and TaskRun YAML with resolvers, matrix scheduling, and CEL conditions.
harbor-terraform
Manages Harbor registry infrastructure as code using the goharbor Terraform provider.
zitadel-terraform
Manage ZITADEL identity platform resources as code using the Terraform provider.
victoria-metrics
Routes VictoriaMetrics tasks to the correct sub-skill for operators, queries, logs, and traces.
mariadb
Routes MariaDB operator tasks to Helm deployment or CRD management sub-skills.
harbor
Routes Harbor container registry tasks to API, Helm, or Terraform sub-skills.
netbird-terraform
Manages NetBird networks, policies, and peers declaratively via the Terraform provider.
flux
Routes Flux CD tasks to sub-skills for cluster debugging, CRD knowledge, and repo auditing.
rook-ceph-operator
Deploy and manage Rook-Ceph storage clusters via CephCluster, CephBlockPool, and related CRDs.
mariadb-operator
Create and manage MariaDB operator CRDs for Galera clusters, backups, and PITR on Kubernetes.
vault-helm
Deploy and configure HashiCorp Vault on Kubernetes via Helm with HA Raft storage.
external-dns
Configure ExternalDNS to synchronize Kubernetes resources with DNS providers like Cloudflare.
vector-operator
Create and manage Vector operator CRDs for Kubernetes log collection and aggregation.
cert-manager
Configure cert-manager CRDs for TLS certificate issuance and renewal on Kubernetes.
Frequently Asked Questions About Aidas Kriščiūnas
FAQPage SchemaWhat tasks can I accomplish with Aidas-dev's skill collection?▼
You can deploy and operate Kubernetes platform components: Helm releases for Harbor, Vault, Nextcloud, and MariaDB; operator CRDs for Rook-Ceph, CloudNativePG, KServe, and VictoriaMetrics; Terraform management of ZITADEL, NetBird, and Talos; plus Tekton pipelines, Flux GitOps, and Cilium networking.
Who are these skills designed for?▼
Platform engineers, SREs, and Kubernetes administrators managing self-hosted infrastructure. The skills target practitioners running GitOps-driven clusters on Talos Linux who need precise CRD schemas, Helm values, Terraform provider configurations, and REST endpoint references for production deployments.
How do the routing skills and sub-skills work together?▼
Umbrella skills like harbor, vault, gitea, and netbird route requests to specialized sub-skills based on task type: Helm deployment, REST operations, Terraform management, or CLI usage. This ensures you load only the relevant reference material for your specific operational context.
What prerequisites are needed to use these skills?▼
A running Kubernetes cluster is the baseline, with many skills assuming Talos Linux nodes and GitOps tooling like Flux CD. Specific skills require their target platforms installed, such as Helm 3, Terraform, talosctl, kubeseal, or operator controllers already deployed in the cluster.
Do these skills cover ML workloads on Kubernetes?▼
Yes. Kubeflow Trainer v2 covers TrainJob and TrainingRuntime CRDs for PyTorch, TensorFlow, JAX, XGBoost, and MPI; KServe handles InferenceService and LLMInferenceService serving; and the NVIDIA device plugin skill covers GPU scheduling, MIG, and time-slicing configuration.