deploying-monitoring-stacks
tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill deploying-monitoring-stacksMonitor use when deploying monitoring stacks including Prometheus, Grafana, and Datadog. Trigger with phrases like "deploy monitoring stack", "setup prometheus", "configure grafana", or "install datadog agent". Generates production-ready configurations with metric collection, visualization dashboards, and alerting rules.
Validation
81%| Criteria | Description | Result |
|---|---|---|
allowed_tools_field | 'allowed-tools' contains unusual tool name(s) | Warning |
metadata_version | 'metadata' field is not a dictionary | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 13 / 16 Passed | |
Implementation
50%This skill provides useful monitoring stack configurations with concrete YAML/JSON examples, but suffers from organizational issues including duplicate sections and boilerplate text. The workflow lacks explicit validation checkpoints critical for production deployments, and the instructions remain too high-level to be immediately actionable without additional research.
Suggestions
Add specific deployment commands (e.g., 'kubectl apply -f prometheus.yaml') and verification steps (e.g., 'kubectl get pods -n monitoring | grep prometheus') to make the workflow actionable
Remove duplicate Overview and Examples sections, and eliminate boilerplate phrases like 'This skill provides automated assistance'
Integrate validation checkpoints into the workflow: after each deployment step, include a verification command and expected output before proceeding
Split platform-specific configurations (Kubernetes, Docker, bare metal) into separate referenced files to improve progressive disclosure
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Contains some unnecessary boilerplate ('This skill provides automated assistance...') and duplicate Overview sections. The core content is reasonably efficient but could be tightened by removing redundant headers and generic statements. | 2 / 3 |
Actionability | Provides concrete YAML/JSON examples that are mostly executable, but the instructions section is high-level and lacks specific commands for deployment steps. Missing actual kubectl commands, helm charts, or installation scripts that would make it copy-paste ready. | 2 / 3 |
Workflow Clarity | Steps are listed in logical sequence but lack validation checkpoints. No explicit verification steps between deployment phases (e.g., 'verify Prometheus is running before configuring scraping'). Error handling section exists but isn't integrated into the workflow. | 2 / 3 |
Progressive Disclosure | References external resources and example directories, but the main content is somewhat monolithic. The duplicate 'Overview' and 'Examples' sections suggest poor organization. Could better separate platform-specific configs into referenced files. | 2 / 3 |
Total | 8 / 12 Passed |
Activation
100%This is a well-crafted skill description that excels across all dimensions. It provides specific capabilities, explicit trigger phrases users would naturally say, clear guidance on both what the skill does and when to use it, and occupies a distinct niche in the monitoring/observability space. The description uses proper third-person voice throughout.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'deploying monitoring stacks', 'Generates production-ready configurations with metric collection, visualization dashboards, and alerting rules'. Names specific tools (Prometheus, Grafana, Datadog). | 3 / 3 |
Completeness | Clearly answers both what (deploying monitoring stacks, generating configurations with metrics, dashboards, alerting) AND when (explicit 'Trigger with phrases like...' clause provides clear usage guidance). | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural trigger terms users would say: 'deploy monitoring stack', 'setup prometheus', 'configure grafana', 'install datadog agent'. These are realistic phrases users would naturally use. | 3 / 3 |
Distinctiveness Conflict Risk | Clear niche focused on monitoring/observability tools with specific product names (Prometheus, Grafana, Datadog). Unlikely to conflict with other skills due to distinct domain and explicit tool mentions. | 3 / 3 |
Total | 12 / 12 Passed |
Reviewed
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