Make slow Perspective pages measurable before you tune them.
This skill helps the AI move from vague page-speed complaints to evidence: sessions, metrics, logs, bindings, polling, embedded views, tables, trends, Named Queries, historian reads, and one small change at a time.
Why it was made
- Turns slow-page reports into measured observations instead of broad refactors.
- Looks for binding, polling, alarm table, table-size, trend, embedded-view, runScript, property-change, query, SVG, and history load patterns.
- Requires one measurable change per cycle so tuning does not create new unknowns.
Common use cases
- Perspective pages that open slowly or become sluggish in runtime.
- High Gateway or session load after a dashboard deploy.
- Large table, trend, Alarm Table, Flex Repeater, embedded view, SVG, runScript, or Named Query reviews.
- Performance triage before blaming Ignition, the browser, or the database.
Proof style
Validate the artifact, not the promise.
The skill marks static findings as candidates only; live metrics and repeated measurements are required before calling a performance fix proven.
Evidence
Profiler workflow proof
The graphic is AI-generated for the site. The checks below come from a sanitized read-only runner pass that proved the profiler skill can gather a safe baseline before tuning: metric discovery, tokenized metric snapshots, Gateway thread evidence, Perspective session inventory, and focused logs.
- metricsList found Perspective-related metric candidates using bounded filters.
- metricsSnapshot sampled tokenized metrics without exposing raw metric names.
- gatewayPerformanceSnapshot returned thread evidence while labeling unavailable JVM fields.
- perspectiveSessionsQuery returned a session row with identifiers and client details omitted.
- logQuery checked a bounded Perspective WARN/ERROR window before any tuning claim.
Example prompt
Profile this slow Perspective dashboard with the runner and recommend one measurable change to test first.This is the kind of short instruction the skill is designed to make useful. The value is in the checks and Ignition-specific defaults the AI uses after reading the skill.
Expected output
- Captures metrics, session context, Gateway performance snapshot, view structure, and recent logs.
- Ranks likely bottlenecks by evidence instead of intuition.
- Recommends a small reversible change and the exact metric to compare after the change.
Related workflows
Skills that pair with this one
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