groq-observability

Set up observability for Groq integrations: latency histograms, token throughput, rate limit gauges, cost tracking, and Prometheus alerts. Trigger with phrases like "groq monitoring", "groq metrics", "groq observability", "monitor groq", "groq alerts", "groq dashboard".

Quality

—

Does it follow best practices?

Impact

—

No eval scenarios have been run

Securityby

Passed

No known issues

Quality

Content

65%

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

Highly actionable with executable code and concrete alert/dashboard thresholds, and a clear step sequence. It loses points on conciseness (metric repetition and some generic advice) and on workflow clarity / progressive disclosure (no validation checkpoints and no split-out detail files for a longish skill).

Suggestions

Add explicit validation checkpoints between steps, e.g. after Step 2 "verify Prometheus exposes groq_latency_ms at /metrics before proceeding to alert rules".

Split the large inline reference material (the Prometheus alert rules YAML and the dashboard panel list) into separate files under references/ and point to them from SKILL.md to improve progressive disclosure.

De-duplicate the metric definitions across the Key Metrics table, the code, and the Dashboard Panels list, and replace generic Error Handling advice with concrete commands or configuration steps.

Dimension	Reasoning	Score
Conciseness	Mostly dense and skill-specific (no generic concept filler), but the same metrics recur across the metrics table, code, and dashboard panel list, and the Error Handling table drifts into generic advice ("Enable streaming for better perceived performance") rather than concrete commands, so it could be tightened.	2 / 3
Actionability	Provides fully executable TypeScript for the instrumented client and prom-client metrics, concrete Prometheus alert YAML with real expressions, and specific dashboard thresholds (e.g. "alert if > 500ms", "280-560 range"), all copy-paste ready.	3 / 3
Workflow Clarity	Steps 1-6 are clearly sequenced, but there are no validation/verification checkpoints (e.g. confirm Prometheus is scraping, confirm groq_latency_ms exists before adding alerts), so checkpoints are missing rather than explicit.	2 / 3
Progressive Disclosure	At ~250 lines the skill is not a simple under-50-line case, yet all reference-like material (pricing table, full alert rules, dashboard panel list) is inline in SKILL.md with no one-level-deep detail files and no bundle files present, so content that should be separate stays inline.	2 / 3
	Total	9 / 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.

A strong description that states concrete capabilities and supplies multiple natural trigger phrases for a clear, narrow Groq-observability niche. The only minor weakness is the meta phrasing "Trigger with phrases like" instead of a canonical "Use when..." clause.

Dimension	Reasoning	Score
Specificity	Names the domain and lists multiple concrete capabilities — "latency histograms, token throughput, rate limit gauges, cost tracking, and Prometheus alerts" — matching the multi-action anchor rather than the partial score-2 anchor.	3 / 3
Completeness	Answers both what (set up Groq observability with the listed metrics) and when ("Trigger with phrases like ..."), which qualifies as equivalent explicit trigger guidance and clears the score-2 cap for missing triggers.	3 / 3
Trigger Term Quality	Provides several natural user phrases ("groq monitoring", "groq metrics", "groq observability", "monitor groq", "groq alerts", "groq dashboard") giving good coverage of likely utterances, not just jargon.	3 / 3
Distinctiveness Conflict Risk	Groq-specific scope with distinct groq-prefixed triggers makes it unlikely to fire for unrelated observability skills, matching the clear-niche anchor.	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: 1628598

Reviewed: 4 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.