jbvc/prometheus-configuration
Set up Prometheus for comprehensive metric collection, storage, and monitoring of infrastructure and applications. Use when implementing metrics collection, setting up monitoring infrastructure, or configuring alerting systems.
67
67%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Advisory
Suggest reviewing before use
Quality
Discovery
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 has a solid structure with both 'what' and 'when' clauses, and correctly names Prometheus as the specific tool. However, it lacks granular concrete actions (e.g., writing PromQL, configuring exporters, setting up Alertmanager) and could include more natural trigger terms that users would use when seeking Prometheus-specific help. The broad monitoring/alerting language creates some overlap risk with other monitoring tool skills.
Suggestions
Add more specific concrete actions like 'configure scrape targets, write PromQL queries, set up Alertmanager rules, define recording rules, configure exporters'
Expand trigger terms in the 'Use when' clause to include natural variations like 'PromQL', 'prometheus.yml', 'scrape config', 'node_exporter', 'time series metrics', or '.rules files'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (Prometheus, monitoring) and some actions (metric collection, storage, monitoring, alerting), but doesn't list multiple concrete specific actions like configuring scrape targets, writing PromQL queries, setting up Alertmanager rules, or creating recording rules. | 2 / 3 |
Completeness | Clearly answers both 'what' (set up Prometheus for metric collection, storage, and monitoring) and 'when' with an explicit 'Use when' clause covering metrics collection, monitoring infrastructure, and alerting systems. | 3 / 3 |
Trigger Term Quality | Includes relevant keywords like 'Prometheus', 'metrics collection', 'monitoring infrastructure', and 'alerting systems', but misses common user variations like 'PromQL', 'Grafana', 'scrape config', 'exporters', 'node_exporter', 'prometheus.yml', or 'time series'. | 2 / 3 |
Distinctiveness Conflict Risk | Mentioning 'Prometheus' specifically helps distinguish it, but the broad terms 'monitoring infrastructure' and 'alerting systems' could overlap with skills for Grafana, Datadog, Nagios, or other monitoring tools. More Prometheus-specific triggers would reduce conflict risk. | 2 / 3 |
Total | 9 / 12 Passed |
Implementation
50%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill provides highly actionable, executable Prometheus configurations covering installation, scraping, recording rules, alerting, and validation. However, it severely violates conciseness by inlining extensive YAML configurations that belong in the referenced resource files, making the SKILL.md itself a monolithic reference document rather than a concise overview. The workflow lacks a clear sequential structure with integrated validation checkpoints.
Suggestions
Move the detailed YAML configurations (scrape configs, recording rules, alert rules) into the referenced files (references/scrape-configs.md, references/recording-rules.md, assets/prometheus.yml.template) and keep only minimal examples inline in SKILL.md.
Add a clear numbered workflow at the top: 1. Install → 2. Configure prometheus.yml → 3. Validate with promtool → 4. Add recording/alert rules → 5. Validate rules → 6. Deploy, with validation as explicit gates.
Remove the architecture diagram, the 'Do not use this skill when' section, and the generic best practices list—these waste tokens on information Claude already knows or can infer.
Trim the Instructions section which is generic boilerplate ('Clarify goals, constraints, and required inputs') and replace with Prometheus-specific guidance.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is extremely verbose at ~300 lines, including an architecture diagram Claude doesn't need, exhaustive YAML configs that could be in reference files, a best practices list of generic advice, and sections like 'Do not use this skill when' that add no value. Much of this content belongs in the referenced files rather than inline. | 1 / 3 |
Actionability | The skill provides fully executable, copy-paste ready configurations including Helm commands, Docker Compose files, complete prometheus.yml, recording rules, alert rules, and validation commands. All code examples are concrete and specific. | 3 / 3 |
Workflow Clarity | While individual sections are clear, there's no overall sequenced workflow tying installation → configuration → validation → deployment together. The validation section exists but isn't integrated as checkpoints within the setup process. For a config-heavy skill involving potentially destructive monitoring changes, explicit validation checkpoints within the workflow are needed. | 2 / 3 |
Progressive Disclosure | References to external files exist (assets/prometheus.yml.template, references/scrape-configs.md, etc.) which is good, but the SKILL.md itself contains massive inline configurations that should be in those reference files instead. The overview should be concise with pointers to details, not contain all the details plus pointers. | 2 / 3 |
Total | 8 / 12 Passed |
Validation
100%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
Reviewed
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