claude-skills is a collection of specialized skills that extends Claude Code for full-stack development. Developers use it for programming languages, frameworks, infrastructure, APIs, testing, DevOps, security, data and machine learning, platform tasks, and project workflows.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Jeffallan/claude-skills --skill kubernetes-specialistgit clone --depth 1 https://github.com/Jeffallan/claude-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/jeffallan/claude-skills/kubernetes-specialist)<a href="https://agentmods.dev/skills/jeffallan/claude-skills/kubernetes-specialist"><img src="https://agentmods.dev/badge/skills/jeffallan/claude-skills/kubernetes-specialist/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/jeffallan/claude-skills/kubernetes-specialist"><img src="https://agentmods.dev/badge/skills/jeffallan/claude-skills/kubernetes-specialist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00079 | $0.01901 |
| Opus 5 | $0.00039 | $0.00950 |
| Sonnet 5 | $0.00016 | $0.00380 |
| Haiku 4.5 | $0.00008 | $0.00190 |
Grade A, and why
kubernetes-specialist scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
2 near-identical copies found in the catalogue:
- kubernetes-specialist — 95% identical, 6 lines differ
- kubernetes-specialist — 95% identical, 6 lines differ
How it starts
The opening of the file, as written. The whole thing — 244 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kubernetes Specialist
When to Use This Skill
- Deploying workloads (Deployments, StatefulSets, DaemonSets, Jobs)
- Configuring networking (Services, Ingress, NetworkPolicies)
- Managing configuration (ConfigMaps, Secrets, environment variables)
- Setting up persistent storage (PV, PVC, StorageClasses)
- Creating Helm charts for application packaging
- Troubleshooting cluster and workload issues
- Implementing security best practices
Core Workflow
- Analyze requirements — Understand workload characteristics, scaling needs, security requirements
- Design architecture — Choose workload types, networking patterns, storage solutions
- Implement manifests — Create declarative YAML with proper resource limits, health checks
- Secure — Apply RBAC, NetworkPolicies, Pod Security Standards, least privilege
- Validate — Run
kubectl rollout status,kubectl get pods -w, andkubectl describe pod <name>to confirm health; roll back withkubectl rollout undoif needed
Reference Guide
Load detailed guidance based on context:
| Topic | Reference | Load When |
|---|---|---|
| Workloads | references/workloads.md |
Deployments, StatefulSets, DaemonSets, Jobs, CronJobs |
| Networking | references/networking.md |
Services, Ingress, NetworkPolicies, DNS |
| Configuration | references/configuration.md |
ConfigMaps, Secrets, environment variables |
| Storage | references/storage.md |
PV, PVC, StorageClasses, CSI drivers |
| Helm Charts | references/helm-charts.md |
Chart structure, values, templates, hooks, testing, repositories |
| Troubleshooting | references/troubleshooting.md |
kubectl debug, logs, events, common issues |
| Custom Operators | references/custom-operators.md |
CRD, Operator SDK, controller-runtime, reconciliation |
| Service Mesh | references/service-mesh.md |
Istio, Linkerd, traffic management, mTLS, canary |
| GitOps | references/gitops.md |
ArgoCD, Flux, progressive delivery, sealed secrets |
| Cost Optimization | references/cost-optimization.md |
VPA, HPA tuning, spot instances, quotas, right-sizing |
| Multi-Cluster | references/multi-cluster.md |
Cluster API, federation, cross-cluster networking, DR |
What ships with it
11 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/configuration.md 8.8 KB
- references/cost-optimization.md 9.6 KB
- references/custom-operators.md 16 KB
- references/gitops.md 11 KB
- references/helm-charts.md 20 KB
- references/multi-cluster.md 11 KB
- references/networking.md 7.9 KB
- references/service-mesh.md 9.3 KB
- references/storage.md 9.5 KB
- references/troubleshooting.md 11 KB
- references/workloads.md 8.5 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 244 lines · 79 tokens per session scan A f84cb51c8696
kubernetes-specialist is a skill published in the GitHub repository Jeffallan/claude-skills (11,426 stars, last pushed 1mo ago), licensed MIT. It adds 79 tokens to every session and 1,901 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
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ecs
AWS ECS container orchestration for running Docker containers. Use when deploying containerized applications, configuring task definitions, setting up services, managing clusters, or troubleshooting container issues.
eks
AWS EKS Kubernetes management for clusters, node groups, and workloads. Use when creating clusters, configuring IRSA, managing node groups, deploying applications, or integrating with AWS services.
kubernetes-skill
Prevent Kubernetes hallucinations by diagnosing and fixing failure modes: insecure workload defaults, resource starvation, network exposure, privilege sprawl, fragile rollouts, and API drift. Use when generating, reviewing, refactoring, or migrating manifests, Helm charts, Kustomize overlays, cluster policies, and…
datarobot-workload-api
Use when the user wants to create, configure, scale, debug, observe, or roll out container workloads on DataRobot's Workload API. Triggers include: deploying a container as a managed service, listing/starting/stopping workloads, changing replica counts or autoscaling, picking CPU/GPU compute bundles, injecting…
diag-k8s-pod-crashloop
A diagnostic runbook for Kubernetes Pods stuck in CrashLoopBackOff. A Pod is a Kubernetes unit that runs one or more containers; CrashLoopBackOff means a container keeps failing and Kubernetes waits longer between restart attempts.