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Found 51 Skills
Sentry error tracking and debugging specialist
Expert in observing, benchmarking, and optimizing AI agents. Specializes in token usage tracking, latency analysis, and quality evaluation metrics. Use when optimizing agent costs, measuring performance, or implementing evals. Triggers include "agent performance", "token usage", "latency optimization", "eval", "agent metrics", "cost optimization", "agent benchmarking".
PostgreSQL database optimization workflow for query tuning, indexing strategies, performance analysis, and production database management.
Manage power and performance metrics and diagnostic logs using the `asc` CLI tool. Use this skill when: (1) Listing performance metrics for an app: "asc perf-metrics list --app-id <id>" (2) Listing performance metrics for a build: "asc perf-metrics list --build-id <id>" (3) Filtering metrics by type: "asc perf-metrics list --app-id <id> --metric-type LAUNCH" (4) Listing diagnostic signatures for a build: "asc diagnostics list --build-id <id>" (5) Filtering diagnostics: "asc diagnostics list --build-id <id> --diagnostic-type HANGS" (6) Viewing diagnostic logs: "asc diagnostic-logs list --signature-id <id>" Also trigger when the user mentions: performance metrics, launch time, hang rate, disk writes, memory usage, battery life, termination, animation hitches, diagnostic signatures, call stacks, power metrics, app performance monitoring, "why is my app slow", "check hangs", "check launch time"
AppSignal integration. Manage data, records, and automate workflows. Use when the user wants to interact with AppSignal data.
Aggregate and display system metrics with anomaly detection for a time period
Best practices and guidelines for using logger in API routes. Defines appropriate logging levels, what to log, and when to avoid logging. Use when implementing or reviewing API route logging, debugging strategies, or optimizing log output.
This skill should be used when adding error tracking and performance monitoring with Sentry and OpenTelemetry tracing to Next.js applications. Apply when setting up error monitoring, configuring tracing for Server Actions and routes, implementing logging wrappers, adding performance instrumentation, or establishing observability for debugging production issues.
Comprehensive Windows 11 system diagnostics via PowerShell. Diagnoses crashes, freezes, reboots, BSOD, disk health, memory issues, hardware errors, and performance problems. Use when troubleshooting Windows stability issues, analyzing Event Viewer logs, checking disk/memory health, investigating hardware errors, or diagnosing system performance problems.
Sentry error tracking and performance monitoring for real-time visibility into application errors, performance issues, and release health
Query Scout APM performance data via REST API. Use when investigating app performance, slow endpoints, error groups, traces, or insights like N+1 queries and memory bloat.
MetricKit API reference for field diagnostics - MXMetricPayload, MXDiagnosticPayload, MXCallStackTree parsing, crash and hang collection