creating-apm-dashboards

Execute this skill enables AI assistant to create application performance monitoring (apm) dashboards. it is triggered when the user requests the creation of a new apm dashboard, monitoring dashboard, or a dashboard for application performance. the skill helps ... Use when generating or creating new content. Trigger with phrases like 'generate', 'create', or 'scaffold'.

Quality

—

Does it follow best practices?

Impact

—

No eval scenarios have been run

Securityby

Passed

No known issues

Quality

Content

20%

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

The skill body is well-sectioned but largely generic prose and filler with no executable guidance, no reference to the bundled creation/validation scripts, and no validation checkpoints in its workflow. It describes the task rather than telling Claude how to perform it concretely.

Suggestions

Replace the Overview/Instructions/Output/Resources filler with a quick-start that actually invokes the bundled scripts, e.g. `python scripts/create_grafana_dashboard.py config.json` and `python scripts/validate_dashboard_config.py config.json`.

Add a concrete dashboard-config template (panel JSON with golden-signal metrics like latency, traffic, errors, saturation) so the 'Define Dashboard Components' and 'Generate Configuration' steps are actionable.

Insert an explicit validate-then-deploy checkpoint into the workflow ('validate config -> fix and re-validate -> only then deploy') to close the current validation gap.

Dimension	Reasoning	Score
Conciseness	The body is padded with sections that restate concepts Claude already knows and template filler ('This skill automates the creation of Application Performance Monitoring (APM) dashboards, providing a structured approach to visualizing critical application metrics', 'The skill produces structured output relevant to the task', 'Project documentation / Related skills and commands'), with no concrete payoff, matching the verbose/padded anchor rather than the mostly-efficient level above.	1 / 3
Actionability	Despite real bundle scripts existing, the body gives no executable code, commands, or config templates — 'Generate Configuration: Create the dashboard configuration file', 'Deploy Dashboard: Deploy the generated configuration', and 'Provide necessary context and parameters' describe rather than instruct, fitting the vague/abstract anchor and falling short of the pseudocode-or-incomplete level above.	1 / 3
Workflow Clarity	A clear sequence is present ('Identify Requirements -> Define Dashboard Components -> Generate Configuration -> Deploy Dashboard'), but there are no validation or verification checkpoints even though the bundle contains a validate_dashboard_config.py that is never referenced, capping it at the 'steps listed but validation gaps' anchor rather than the explicit-checkpoint level.	2 / 3
Progressive Disclosure	The body is organized into sections, but it never references the existing bundle scripts (create_grafana_dashboard.py, create_datadog_dashboard.py) or the validation script, so navigation to material that should be separate is missing rather than well-signaled one level deep; it is not a 1 because sections are present and references are not deeply nested.	2 / 3
	Total	6 / 12 Passed

Description

67%

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 answers both what and when with APM-relevant triggers, but is marred by grammatical errors, a truncated 'the skill helps ...' fragment, and generic generate/create/scaffold boilerplate that dilutes trigger quality and raises conflict risk.

Suggestions

Rewrite the opening in clean third person, e.g. 'Creates Application Performance Monitoring (APM) dashboards for Grafana, Datadog, and New Relic', and remove the truncated 'the skill helps ...' fragment.

Drop the generic 'Use when generating or creating new content. Trigger with phrases like generate, create, or scaffold' and replace it with APM-specific triggers such as 'apm dashboard', 'monitoring dashboard', 'golden signals dashboard', and 'application performance dashboard'.

List a few distinct concrete actions (e.g. generate golden-signal panels, request-rate and error-rate panels, deploy to Grafana/Datadog) to raise specificity beyond a single repeated verb.

Dimension	Reasoning	Score
Specificity	It names a concrete domain and action ('create application performance monitoring (apm) dashboards') but only restates that one action with synonyms rather than listing multiple distinct capabilities, and the garbled 'Execute this skill enables AI assistant to' and truncated 'the skill helps ...' add vagueness, so it sits at the 'names domain and some actions' anchor rather than the comprehensive level above.	2 / 3
Completeness	It explicitly states both what ('create application performance monitoring (apm) dashboards') and when ('it is triggered when the user requests the creation of a new apm dashboard...') with explicit trigger guidance, satisfying both halves; it is not a 2 because an explicit when-clause is present and matches the skill.	3 / 3
Trigger Term Quality	It includes some natural APM terms users would say ('a new apm dashboard, monitoring dashboard, or a dashboard for application performance') but then appends generic boilerplate triggers ('generate', 'create', or 'scaffold') that are not APM-specific, leaving it short of good coverage of natural terms.	2 / 3
Distinctiveness Conflict Risk	The APM-specific triggers carve out a niche, but the appended generic 'Use when generating or creating new content. Trigger with phrases like generate, create, or scaffold' would overlap with countless content-generation skills, so it remains only 'somewhat specific but could still overlap' rather than a clear, conflict-free niche.	2 / 3
	Total	9 / 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: 3022dd3

Reviewed: 2 days ago

Table of Contents

Discovery Implementation Validation

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.