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

—

Does it follow best practices?

Impact

—

No eval scenarios have been run

Securityby

Passed

No known issues

Quality

Content

77%

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

The body is lean, well-sequenced, and includes explicit validation and error-recovery guidance, but it stops short of surfacing the ready-made bundle templates and scripts that already exist, and those bundles are themselves inconsistently documented. Actionability and progressive disclosure are the weakest dimensions.

Suggestions

Reference the existing bundle files from the body so they are discoverable, e.g. 'Start from assets/prometheus_config_template.yml for scrape targets and alerting rules' and 'Run scripts/deploy_prometheus.py to deploy and configure Prometheus'.

Include at least one complete, copy-paste-ready example inline or via a linked template (a minimal prometheus.yml with a scrape job and one alerting rule) rather than only describing the fields to define.

Reconcile the bundle READMEs with the actual files: the scripts README lists .sh scripts (deploy_prometheus.sh, rollback_deployment.sh, validate_config.py) that do not exist while the real scripts are .py, and the assets README lists example_k8s_manifests/ and example_terraform_configurations/ directories that are absent — either add the missing files or correct the listings.

Dimension	Reasoning	Score
Conciseness	The body is dense and assumes Claude's competence — it never explains what Prometheus/Grafana/Datadog are, and each line carries actionable information with no concept-padding or fluff.	3 / 3
Actionability	Concrete commands and specific thresholds are present ('helm install kube-prometheus-stack...', 'amtool check-config', CPU >80% for 5m, P99 >500ms), but several steps are descriptive rather than copy-paste ready (e.g., 'Configure scrape targets in prometheus.yml: define job names...') and no complete executable config example is provided inline.	2 / 3
Workflow Clarity	A clear 10-step sequence is given with an explicit validation checkpoint at step 10 ('trigger a test alert and verify notification delivery') plus an Error Handling table that provides feedback loops for recovery, matching the anchor for clear sequencing with validation and error recovery.	3 / 3
Progressive Disclosure	The body is well-sectioned but never signals or links to the actual bundle files (assets/ templates and scripts/ deploy scripts), and the bundle READMEs list files that do not exist (.sh vs actual .py scripts, missing example_k8s_manifests/ and validate_config.py) — references are present in the bundle but not clearly integrated from the body.	2 / 3
	Total	10 / 12 Passed

Description

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.

The description is strong: it states concrete capabilities, includes explicit natural trigger phrases, answers both what and when, and occupies a clear niche. The only blemish is the garbled opening 'Monitor use when deploying', which reads as a stray prefix before the 'Use when' clause but does not remove the required elements.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete deliverables — 'metric collection, visualization dashboards, and alerting rules' alongside 'production-ready configurations' — matching the anchor for several specific concrete actions rather than vague language.	3 / 3
Completeness	Both 'what' ('Generates production-ready configurations...') and 'when' ('use when deploying monitoring stacks...') are present with explicit trigger guidance, satisfying the anchor for clearly answering both; the clause is present so completeness is not capped at 2.	3 / 3
Trigger Term Quality	Natural user phrases are explicitly supplied — 'deploy monitoring stack', 'setup prometheus', 'configure grafana', 'install datadog agent' — giving good coverage of terms a user would actually say.	3 / 3
Distinctiveness Conflict Risk	The monitoring-stack niche (Prometheus/Grafana/Datadog) with its distinct trigger phrases is clearly distinguishable and 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
Commit: 6e3a65f

Reviewed: 4 days ago

Table of Contents

Discovery Implementation Validation

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