deploying-monitoring-stacks

Monitor 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.

Quality

82%

Does it follow best practices?

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Securityby

Passed

No findings from the security scan

Quality

Content

65%Weight 40%Scale 1-3

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The content is concise and well-structured with a useful error-handling table, but it stops short of full actionability because the actual config templates and deploy scripts in the bundle are never referenced, and the workflow lacks intermediate validation checkpoints for a risky deployment process.

Suggestions

Reference the bundled templates and scripts inline (e.g., 'See assets/prometheus_config_template.yml for a starter scrape config' and 'Run scripts/deploy_prometheus.py to deploy'), so the detailed materials are actually discoverable from SKILL.md.

Add intermediate validation checkpoints between steps (e.g., verify scrape targets are up after configuring prometheus.yml, and validate alerting rules with promtool before configuring Alertmanager) rather than only testing at the final step.

Include a short copy-paste-ready prometheus.yml or alerting-rules snippet inline, or explicitly point to the template, so the core deliverable is executable rather than described.

Dimension	Reasoning	Score
Conciseness	The body is lean and assumes Claude's competence — it does not explain what Prometheus or Grafana are, and uses concrete commands and tables rather than padded prose, so every section earns its place.	3 / 3
Actionability	Some concrete commands are present ('helm install kube-prometheus-stack...', 'amtool check-config'), but the core deliverables (prometheus.yml scrape config, alerting rules, Grafana dashboards) are described rather than shown, and the bundled templates that would make them executable are never referenced from the body.	2 / 3
Workflow Clarity	Ten numbered steps give a clear sequence with a final validation step (step 10) and an error-handling table for recovery, but there are no intermediate validation checkpoints during a deployment that involves batch/risky operations, so it sits below the explicit-checkpoint anchor.	2 / 3
Progressive Disclosure	The body is organized into clear sections, but bundled detailed materials (assets/prometheus_config_template.yml, grafana_dashboard_template.json, scripts/deploy_*.py) exist yet are never signaled or linked from SKILL.md, and the bundle READMEs list files that do not match what is actually present.	2 / 3
	Total	9 / 12 Passed

Description

100%Weight 40%Scale 1-3

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is well-constructed with concrete capabilities, natural trigger phrases, and explicit when-guidance, though the opening 'Monitor use when deploying' reads as a copy-paste artifact and should be cleaned to 'Use when deploying'. It clearly answers both what and when with low conflict risk.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions — 'metric collection, visualization dashboards, and alerting rules' alongside deploying Prometheus, Grafana, and Datadog stacks — matching the multiple-specific-actions anchor.	3 / 3
Completeness	Explicitly states what it does ('Generates production-ready configurations...') and when to use it ('Trigger with phrases like...'), satisfying both halves; the garbled 'Monitor use when' opening is awkward but does not remove the explicit trigger guidance that prevents the completeness cap at 2.	3 / 3
Trigger Term Quality	Provides natural phrases a user would actually say ('deploy monitoring stack', 'setup prometheus', 'configure grafana', 'install datadog agent'), giving good coverage of common variations.	3 / 3
Distinctiveness Conflict Risk	Occupies a clear niche (deploying monitoring stacks across three named platforms) with distinct triggers unlikely to fire for unrelated skills.	3 / 3
	Total	12 / 12 Passed

Validation

87%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 14 / 16 Passed

Validation for skill structure

Criteria	Description	Result
allowed_tools_field	'allowed-tools' contains unusual tool name(s)	Warning
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	14 / 16 Passed

Repository: jeremylongshore/claude-code-plugins-plus-skills
Path: plugins/devops/monitoring-stack-deployer/skills/deploying-monitoring-stacks/SKILL.md
Commit: 4c47e33

Reviewed: 1 day ago

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