aggregating-performance-metrics
Aggregate and centralize performance metrics from applications, systems, databases, caches, and services. Use when consolidating monitoring data from multiple sources. Trigger with phrases like "aggregate metrics", "centralize monitoring", or "collect performance data".
54
44%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./plugins/performance/metrics-aggregator/skills/aggregating-performance-metrics/SKILL.mdQuality
Discovery
89%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a solid description with excellent completeness and trigger term coverage, explicitly providing both 'Use when' and 'Trigger with' clauses. Its main weakness is that the core capability is described somewhat narrowly as just 'aggregate and centralize' without listing more specific concrete actions the skill can perform. Overall it would serve well for skill selection in a large skill library.
Suggestions
Add more specific concrete actions beyond 'aggregate and centralize', such as 'normalize metric formats, correlate cross-service data, generate unified dashboards' to improve specificity.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | The description names the domain (performance metrics) and lists sources (applications, systems, databases, caches, services), but the core action is essentially one thing: 'aggregate and centralize'. It lacks multiple distinct concrete actions like 'generate dashboards, set alerts, correlate anomalies'. | 2 / 3 |
Completeness | Clearly answers both 'what' (aggregate and centralize performance metrics from multiple sources) and 'when' (explicit 'Use when' clause and 'Trigger with phrases like' providing concrete trigger guidance). | 3 / 3 |
Trigger Term Quality | Includes natural trigger phrases like 'aggregate metrics', 'centralize monitoring', 'collect performance data', and domain terms like 'databases', 'caches', 'services', 'monitoring data'. These are terms users would naturally use when needing this skill. | 3 / 3 |
Distinctiveness Conflict Risk | The focus on aggregating/centralizing performance metrics from multiple monitoring sources is a clear niche. The specific trigger phrases and domain terms (performance metrics, monitoring data, caches, databases) make it unlikely to conflict with other skills. | 3 / 3 |
Total | 11 / 12 Passed |
Implementation
0%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill reads like a product description or README rather than actionable instructions for Claude. It contains no executable code, no concrete configuration examples, no specific commands, and no real workflow guidance. Nearly every section describes what the skill will do in abstract terms rather than providing the concrete, copy-paste-ready instructions that would make it useful.
Suggestions
Replace abstract descriptions with concrete, executable examples: include actual Prometheus scrape configs, StatsD client code snippets, and CloudWatch API calls that Claude can directly use or adapt.
Provide a specific metrics naming convention with concrete examples (e.g., 'app.http.request_duration_seconds{method="GET", endpoint="/api/users"}') rather than just saying 'use a consistent naming convention'.
Add validation checkpoints to the workflow: e.g., 'After configuring Prometheus, run `promtool check config prometheus.yml` to validate' and include error recovery steps with specific diagnostic commands.
Remove the 'Overview', 'How It Works', 'When to Use This Skill', and 'Integration' sections entirely—they consume tokens explaining things Claude already knows and provide no actionable guidance.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is highly verbose, explaining what Claude will do in abstract terms rather than providing actionable information. Sections like 'How It Works', 'When to Use This Skill', and 'Overview' explain concepts Claude already knows and pad the content with marketing-style language ('empowers Claude to streamline performance monitoring'). The 'Integration' section adds no actionable value. | 1 / 3 |
Actionability | There is no concrete code, no executable commands, no configuration snippets, and no specific examples. Everything is described abstractly ('Guide the user in defining metrics', 'Help configure Prometheus'). There are no Prometheus config files, no StatsD client code, no CloudWatch API calls, no actual naming convention examples—nothing copy-paste ready. | 1 / 3 |
Workflow Clarity | The 'Instructions' section lists 6 high-level steps with no specifics, no validation checkpoints, and no feedback loops. The error handling section is a generic checklist with no concrete commands or diagnostic steps. For a multi-step process involving configuration of multiple systems, this lacks any meaningful sequencing or verification. | 1 / 3 |
Progressive Disclosure | The content is a monolithic wall of text with no bundle files, no references to external documents, and no structured navigation. The 'Resources' section lists documentation titles without links. Content that could be split (e.g., per-tool configuration guides, naming convention reference) is neither inline nor referenced. | 1 / 3 |
Total | 4 / 12 Passed |
Validation
81%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 9 / 11 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 | 9 / 11 Passed | |
- Commit
3a2d27d
- Reviewed
Table of Contents
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.