error-tracking
Add Sentry v8 error tracking and performance monitoring to your project services. Use this skill when adding error handling, creating new controllers, instrumenting cron jobs, or tracking database performance....
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Add Sentry v8 error tracking and performance monitoring to your project services. Use this skill when adding error handling, creating new controllers, instrumenting cron jobs, or tracking database performance....
Comprehensive 27-dimension production readiness audit. Runs in batches of 10 explorers, appending incrementally to a single report file. Categories - Structure (pagination, errors, routes, bootstrap, runtime),...
Provides guidance for systematically logging issues during Ralph autonomous execution. Use when: (1) Any problem occurs during task execution, (2) Manual intervention is required, (3) Workflows don't work as ex...
Implements privacy-friendly web analytics with Plausible as a Google Analytics alternative. Use when adding lightweight, cookie-free analytics that are GDPR compliant without consent banners.
Analyzes stack traces, identifies log patterns, provides error solutions, and guides performance profiling, memory debugging, and distributed tracing. Use when debugging errors, analyzing logs, profiling perfor...
Monitors applications with Sentry including error tracking, performance monitoring, and alerting. Use when tracking errors, monitoring performance, setting up alerts, or debugging production issues.
Implements structured logging and observability with Axiom for serverless applications. Use when adding logging, tracing, and Web Vitals monitoring to Next.js and Vercel applications.
Guide for implementing structured logging in SideQuest plugins using @sidequest/core. Use when adding logging to new plugins, debugging existing plugins, or setting up log analysis.
Best practices for structured logging, correlation IDs, performance metrics, and debugging in Bun applications using @sidequest/core/logging and LogTape. Use when implementing logging, setting up observability,...
Use when troubleshooting host service connectivity, debugging data loading issues, investigating progress tracking problems, diagnosing environment or configuration issues, or checking Grafana dashboards.
Use when diagnosing operation failures, stuck or slow operations, querying Jaeger traces, working with Grafana dashboards, debugging distributed system issues, or investigating worker selection and service comm...
Structured debugging workflow with log server capture and analysis
Grafana dashboard and alert management
Datadog monitoring and observability with native dogshell CLI integration
Queries Sentry for issues, events, traces, and error analysis. Use when debugging production errors, searching issues, analyzing traces, or getting AI root cause analysis with Seer.
Display routine measurement dashboard with metrics, costs, trends, and visualization
Implement application metrics (RED, USE), alerting strategies, and monitoring dashboards
Implement structured logging with appropriate levels, context, and correlation for effective debugging and monitoring
Apply structured logging best practices using Pino for Node.js applications: JSON output, log levels, context, redaction, correlation IDs, and centralization. Use when implementing logging, reviewing log statem...
Mandatory incident fix verification with observables. Invoke after: applying production fixes, before declaring incidents resolved, when someone says 'I think that fixed it'. Requires log entries, metric change...
Logging, debugging, profiling, and performance monitoring for development. Use when adding logging, debugging issues, profiling performance, or instrumenting code for observability.
Use when implementing Go error handling with error wrapping, sentinel errors, and custom error types. Use when handling errors in Go applications.
Create a new configuration profile
Create a new configuration profile
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。