pantheon-ai/k8s-debug
Comprehensive Kubernetes debugging and troubleshooting toolkit. Use this skill when diagnosing Kubernetes cluster issues, debugging failing pods, investigating network connectivity problems, analyzing resource usage, troubleshooting deployments, or performing cluster health checks.
Overall
score
93%
Does it follow best practices?
Validation for skill structure
Discovery
100%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is an excellent skill description that follows best practices. It provides specific, concrete actions in third person voice, includes comprehensive trigger terms that users would naturally use, explicitly states both capabilities and usage conditions, and maintains clear distinctiveness through Kubernetes-specific terminology.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'Inspect pod logs', 'analyze resource quotas', 'trace network policies', 'check deployment rollout status', and 'run cluster health checks'. These are all distinct, actionable capabilities. | 3 / 3 |
Completeness | Clearly answers both what (inspect logs, analyze quotas, trace policies, check rollouts, run health checks) AND when with explicit 'Use this skill when...' clause covering multiple trigger scenarios (diagnosing issues, debugging pods, investigating network problems, etc.). | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural terms users would say: 'Kubernetes', 'pod logs', 'network policies', 'deployment', 'cluster health', 'failing pods', 'network connectivity', 'resource usage'. These match how users naturally describe K8s troubleshooting needs. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive with Kubernetes-specific terminology throughout. The combination of 'pod logs', 'network policies', 'deployment rollout', and 'cluster health' creates a clear niche that wouldn't conflict with general DevOps or other container skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a strong, well-structured Kubernetes debugging skill with excellent actionability and workflow clarity. The emergency operations section exemplifies best practices with verification steps before and after destructive commands. Minor improvements could be made by trimming some redundant content between sections and removing generic overview text.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is reasonably efficient but includes some redundancy (e.g., the debugging workflow section overlaps with common debugging patterns) and could be tightened. Some explanatory text like 'Systematic toolkit for debugging and troubleshooting' adds little value for Claude. | 2 / 3 |
Actionability | Excellent actionability with fully executable commands throughout, specific flags explained, and copy-paste ready examples. Commands include namespace placeholders and practical patterns like checking previous container logs and filtering by field selectors. | 3 / 3 |
Workflow Clarity | Clear multi-step workflows with explicit validation checkpoints, especially in the Emergency Operations section which includes verification steps before and after destructive operations. The numbered debugging workflow provides clear sequencing with appropriate feedback loops. | 3 / 3 |
Progressive Disclosure | Well-structured with clear overview, organized sections, and appropriate references to external files (troubleshooting_workflow.md, common_issues.md) that are one level deep and clearly signaled. Content is appropriately split between quick reference commands and detailed guides. | 3 / 3 |
Total | 11 / 12 Passed |
Validation
100%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
Install with Tessl CLI
npx tessl i pantheon-ai/k8s-debug@0.1.0Reviewed
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