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Found 37 Skills
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".
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.
Track production app health and catch issues before users complain. Use after deploying, to check app status, or when investigating user reports. Covers error tracking, uptime monitoring, and metrics for non-technical founders.
Agent skill for performance-monitor - invoke with $agent-performance-monitor
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.
MetricKit API reference for field diagnostics - MXMetricPayload, MXDiagnosticPayload, MXCallStackTree parsing, crash and hang collection
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.
Redis 数据库管理
Sentry error tracking and performance monitoring for real-time visibility into application errors, performance issues, and release health
Optimize Fireflies.ai API performance with caching, batching, and connection pooling. Use when experiencing slow API responses, implementing caching strategies, or optimizing request throughput for Fireflies.ai integrations. Trigger with phrases like "fireflies performance", "optimize fireflies", "fireflies latency", "fireflies caching", "fireflies slow", "fireflies batch".
Execute advanced Sentry troubleshooting techniques. Use when debugging complex SDK issues, missing events, source map problems, or performance anomalies. Trigger with phrases like "sentry not working", "debug sentry", "sentry events missing", "fix sentry issues".
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.