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kopai/create-dashboard

Build Kopai observability dashboards from OpenTelemetry metrics, logs, and traces by composing tiles — time-series charts, stat/KPI numbers, histograms, log timelines, and trace-detail views — into a dashboard via the Kopai SDK. Use this skill whenever the user wants to visualize, chart, monitor, or 'keep an eye on' telemetry — e.g. 'make a dashboard', 'monitoring view', 'KPI panel', 'chart request latency and throughput', 'an incident board with error logs and a trace viewer' — even if they don't say the word 'dashboard' — and when another workflow needs to present telemetry visually (e.g. after a root-cause analysis). This creates Kopai dashboards specifically. Do NOT use it to investigate or root-cause an issue (use root-cause-analysis), to add instrumentation (use otel-instrumentation), to build Grafana/Prometheus dashboards, or to code React/UI chart components.

77

Quality

97%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

Overview
Quality
Evals
Security
Files

Quality

Content

92%

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

The body is a tight, highly actionable skill with excellent workflow and validation guidance; its only real defect is that the single progressive-disclosure reference (rules/) points to a bundle directory that is not present.

Suggestions

Provide the missing rules/ directory referenced by 'Read rules/<rule-name>.md for details', or remove the dangling reference so navigation does not dead-end.

Confirm the auto-generated schema/metrics blocks degrade gracefully when the Kopai backend is offline, since their output becomes the reader's primary reference material.

DimensionReasoningScore

Conciseness

Lean and efficient throughout — it assumes Claude's TS/SDK competence, omits concept explanations, and every section (rules, caveats, workflow, example) earns its tokens rather than padding.

3 / 3

Actionability

Provides fully executable, copy-paste-ready code (the complete create-cpu-dashboard.mts), concrete kq query chains, and exact CLI commands — well above the pseudocode anchor.

3 / 3

Workflow Clarity

A clear 5-step numbered workflow with an explicit validation/feedback loop in step 4 ('On a KopaiValidationError/KopaiError, re-run discoverMetrics()... fix the tree, and retry'), plus a preventive 'Two rules' checkpoint section.

3 / 3

Progressive Disclosure

The in-body organization is clean and the only reference is one level deep and clearly signaled, but it points to 'rules/<rule-name>.md' and the rules/ bundle directory does not exist — a dangling reference that the guideline says to penalize against the actual bundle structure.

2 / 3

Total

11

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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 exemplary: it pairs concrete capability enumeration with explicit, natural-language trigger guidance and a strong exclusion list for distinctiveness, all in third-person voice with no fluff.

DimensionReasoningScore

Specificity

Lists multiple concrete composing actions — 'time-series charts, stat/KPI numbers, histograms, log timelines, and trace-detail views' — matching the multi-action anchor, not the single-domain anchor below it.

3 / 3

Completeness

Explicitly answers both what ('Build Kopai observability dashboards... by composing tiles') and when ('Use this skill whenever the user wants to visualize...'), with an explicit trigger clause that prevents the missing-trigger cap of 2.

3 / 3

Trigger Term Quality

Natural user phrasings are well covered — 'make a dashboard', 'monitoring view', 'KPI panel', 'chart request latency and throughput', plus 'keep an eye on' — going beyond jargon to common variations.

3 / 3

Distinctiveness Conflict Risk

Clear niche (Kopai dashboards) reinforced by an explicit 'Do NOT use it to...' exclusion list against root-cause-analysis, otel-instrumentation, Grafana/Prometheus, and React/UI, making wrong-skill triggering unlikely.

3 / 3

Total

12

/

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Reviewed

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