Conciseness

The body is dense and assumes competence — no generic OTel/dashboard tutorials — but the MetricType guidance ('Choose the MetricType up front via kq.metrics("Gauge")') is stated three times (rule 1, Backend caveats, Workflow step 1) and rule #2 is restated in the Components section. This fits 'efficient; minor instances of over-explanation that could be trimmed' rather than 'every token earns its place'.

Actionability

Fully executable, copy-paste-ready guidance: a complete runnable Quick Example ('npx tsx create-cpu-dashboard.mts'), exact commands (npm i @kopai/sdk, the CLI fallback one-liner), concrete kq chains per tile type in the components table, and quoted render-time error messages that make failure modes actionable. Common cases are covered.

Workflow Clarity

The five-step workflow (discover → build queries → assemble uiTree → create → view) has an explicit error-recovery feedback loop: 'On a KopaiValidationError/KopaiError, re-run discoverMetrics() to recheck names and types, fix the tree, and retry', plus backend-connection error guidance embedded in the dynamic commands. Sequence and checkpoints are explicit.

Progressive Disclosure

The '## Rules' section points to 'Read rules/<rule-name>.md for details', but no rules/ directory (nor any references/scripts/assets bundle) exists, so the pointer is generic and dangling — a navigation dead-end that fits 'references present but not clearly signaled'. The rest of the structure (sections, table, dynamic schema/metrics injection) is reasonable, keeping it above anchor 2.

Specificity

The description lists multiple concrete actions with comprehensive coverage: '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.' It names the domain, the specific tile types, the data sources, and the mechanism (Kopai SDK).

Completeness

Both 'what' and 'when' are explicitly answered with concrete trigger phrases: the what is the full tile-composition capability list, and the when is 'Use this skill whenever the user wants to visualize, chart, monitor... 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).'

Trigger Term Quality

Comprehensive natural-language triggers users would actually say: 'visualize, chart, monitor, or "keep an eye on" telemetry', plus quoted example utterances ('make a dashboard', 'monitoring view', 'KPI panel', 'chart request latency and throughput', 'an incident board with error logs and a trace viewer'). Synonyms and phrasing variants are covered, including the no-'dashboard'-word case.

Distinctiveness Conflict Risk

A clear niche (Kopai dashboards specifically) with explicit exclusions that eliminate overlap risk: '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. When the Kopai connector is attached, use create-live-page instead.' Adjacent-skill boundaries are all disambiguated.