nexus-labs-automation

Trace agent decision-making, tool selection, and reasoning chains

Instrument safety checks, content filters, and guardrails for agent outputs

Strategies for evaluating agents in production - sampling, baselines, and regression detection

Track prompt versions, A/B test variants, and measure prompt performance

Instrument error handling, retries, fallbacks, and failure patterns

Instrument evaluation metrics, quality scores, and feedback loops

Instrument human approval workflows, feedback loops, and escalations

Plan what to measure in AI agent systems using tiered approach

Instrument API requests with spans and distributed tracing. Use when tracking request latency or debugging API issues.

Monitor JavaScript bundle size and execution performance. Use when tracking bundle size, identifying large chunks, or optimizing load performance.

Measure and optimize Core Web Vitals (LCP, INP, CLS). Use when implementing CWV tracking or debugging performance.

Set up error tracking with actionable context. Use when configuring error capture or error boundaries.

Measure SSR hydration timing and issues. Use when tracking hydration performance, debugging hydration mismatches, or optimizing SSR/SSG applications.

Plan what to measure in web applications. Use when starting observability or prioritizing instrumentation.

Measure time from navigation to page fully loaded and interactive. Use when tracking SPA navigation, route changes, or slow page transitions.

Set up session replay for visual debugging. Use when implementing DOM recording with privacy controls.

Configure crash symbolication for readable stack traces. Use when setting up dSYMs (iOS), ProGuard/R8 mappings (Android), or source maps (React Native).

Set up crash instrumentation with actionable context. Use when configuring crash capture, error boundaries, or breadcrumb strategies.

Plan what to measure in mobile apps. Use when starting observability, prioritizing instrumentation, or asking "what should I track?"

Measure time from user tap to action completion. Use when tracking button response times, form submissions, add-to-cart, or any tap-triggered operation.

Measure time from navigation tap to screen fully loaded and interactive. Use when tracking screen transitions, deep links, or tab switches.

Instrument API requests with spans and distributed tracing. Use when tracking request latency, correlating client-backend traces, or debugging API issues.

Set up session replay for visual debugging. Use when implementing screen recording, replay features, or visual debugging tools.

Track user journeys with intent context and friction signals. Use when instrumenting onboarding, checkout, or any multi-step flow where you need to understand WHY users fail.

Track cache hit rates, latency, and detect cache-related issues

Instrument database queries, connection pools, and detect N+1 queries

Capture errors with rich context for debugging and alerting

Implement liveness, readiness, and dependency health checks

Plan backend observability using RED + USE + 4 Golden Signals + JTBD

Monitor message queues, job processing, and detect backpressure

Instrument HTTP/gRPC endpoints with distributed tracing and RED metrics

Define SLIs, SLOs, and implement burn-rate alerting

This skill should be used when the user asks to "write playwright test", "e2e test", "playwright locator", "test isolation", "page object", or needs guidance on Playwright E2E testing patterns, locator strategies, test structure, or debugging flaky tests.