Android Crash/ANR/結構化日誌的「實作層」 — Firebase Crashlytics 33.x、Custom Signals/OnFatalException、Android 14 ANR Watchdog（含 foreground threshold）、Memory Warning、Timber、Play Console +…
Schedule and manage recurring tasks with cron and systemd timers. Use when setting up cron jobs, writing systemd timer units, handling timezone-aware scheduling, monitoring failed…
Unified JSON logging across Next.js, Python, and Firebase Functions using Pino and structlog. PROACTIVELY activate for: (1) Setting up structured logging, (2) Configuring Pino for…
Configures monitoring systems, implements structured logging pipelines, creates Prometheus/Grafana dashboards, defines alerting rules, and instruments distributed tracing — from…
Defines service level objectives, creates error budget policies, designs incident response procedures, develops capacity models, and produces monitoring configurations an — from…
Executes DAG workflows with parallel wave processing, agent spawning, context isolation, permission enforcement, and full execution tracing.
Datadog CLI for searching logs, querying metrics, tracing requests, and managing dashboards. Use this when debugging production issues or working with Datadog observabili — from…
Interfaces with the Datadog API v2 monitors and dashboards endpoints to programmatically create and manage monitors.
Synchronizes Datadog monitor definitions between environments using the Datadog API v2 monitors endpoint.
Use when diagnosing Apex behavior with debug logs, choosing log levels, or replacing `System.debug` habits with structured production logging and async job monitoring.
Debug hanging issues in SGLang distributed inference (TP/PP/DP/EP). Covers identifying hang locations via py-spy/watchdog/cuda coredump, per-rank logging to find state divergence,…
Add contextual logging to the exact call sites a bug passes through, run the repro, collect the logs, then REMOVE the logs.
Systematically debug issues in PhotoClove by examining code, state, logs, and data flow. Automatically invoked when investigating bugs, errors not working as expected, or tracing…
Systematic debugging methodology with 4-phase process, root cause tracing, and elite observability standards. No fixes without investigation.
Systematic debugging framework ensuring root cause investigation before fixes. Includes four-phase debugging process, backward call stack tracing, multi-layer validation, and…
Apply systematic root cause analysis and debugging methodologies to diagnose and fix bugs, test failures, and unexpected behavior.
Debugging workflows for Python (pdb, debugpy), Go (delve), Rust (lldb), and Node.js, including container debugging (kubectl debug, ephemeral containers) and production-safe…
DEBUG mysteriously disappearing tasks using the taskDisappearanceLogger. Use when tasks vanish without user deletion, data seems to be lost, or you need to track what's modifying…
You are a debugging expert specializing in setting up comprehensive debugging environments, distributed tracing, and diagnostic tools.
Implement distributed tracing with Jaeger and Tempo for request flow visibility across microservices.
Implement distributed tracing with Jaeger and Tempo to track requests across microservices and identify performance bottlenecks.
Implement distributed tracing with Jaeger and Tempo to track requests across microservices and identify performance bottlenecks.
Implement monitoring, logging, and tracing for Documenso integrations. Use when setting up observability, implementing metrics collection, or debugging production issues.
Apply MCAF human-review-planning guidance for a large AI-generated code drop by reading the target area, tracing the natural user and system flows, identifying the riskiest…
Build Model Context Protocol (MCP) servers in C#/.NET against the current ModelContextProtocol 1.x NuGet packages.
Use the Microsoft.Extensions stack correctly across Generic Host, dependency injection, configuration, logging, options, HttpClientFactory, and other shared infrastructure…
Use the free official .NET diagnostics CLI tools for profiling and runtime investigation in .NET repositories.
Use when you need to run a binary, trace execution, or observe runtime behavior. Runtime analysis via QEMU emulation, GDB debugging, and Frida hooking - syscall tracing ( — from…
RFC-27 compliant runtime log level control for Java services. Covers proper log level usage, enabling dynamic log levels in estate-catalog, and changing levels via Developer…
Execute AI-generated code in secure isolated E2B cloud sandboxes with advanced monitoring, MCP gateway integration (200+ tools), and multi-language support.
eBPF skill for Linux observability and networking. Use when writing eBPF programs with libbpf or bpftrace, attaching kprobes/tracepoints/XDP hooks, debugging verifier errors,…
Optimize ElevenLabs costs through model selection, character-efficient patterns, caching, and usage monitoring with budget alerts.
Conducts Data Protection Impact Assessments for employee monitoring systems per EDPB Guidelines 3/2019 on workplace data processing.
25 advanced engineering agent skills and plugins for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw.
You are an expert error analysis specialist with deep expertise in debugging distributed systems, analyzing production incidents, and implementing comprehensive observabi — from…
You are an error tracking and observability expert specializing in implementing comprehensive error monitoring solutions.
You are an expert error analysis specialist with deep expertise in debugging distributed systems, analyzing production incidents, and implementing comprehensive observabi — from…
Implement structured logging, error hierarchies, and observability patterns for production systems. Covers structured JSON logging, error classification, correlation IDs, and…
AWS error investigation with multi-layer verification, CloudWatch analysis, and Lambda logging patterns.
Structured JSON logging with correlation IDs for multi-service systems. Use when implementing logging, debugging failures, or tracing errors across services.
Vercel-first, provider-aware review and remediation workflow for web app error logging. Use when a user asks to audit, add, fix, harden, or verify logging, error capture, runtime…
Expert guide for error handling, logging, monitoring, and debugging. Use when implementing error boundaries, logging systems, or integrating monitoring tools like Sentry.
Adds comprehensive error tracking with Sentry, Rollbar, or similar services including error boundaries, context, and breadcrumbs.
Optimize Exa costs through search type selection, caching, and usage monitoring. Use when analyzing Exa billing, reducing API costs, or implementing budget controls and usage…
Run python examples in auto mode with logging, rerun helpers, and background control. — from JoshuaShepherd/my-skills
Run python examples in auto mode with logging, rerun helpers, and background control. — from engineering/observability
Optimize Firecrawl costs through crawl limits, format selection, caching, and credit monitoring. Use when analyzing Firecrawl billing, reducing API costs, or implementing credit…
Optimize Flexport API usage costs through efficient pagination, caching, webhook-driven updates, and monitoring API call volume.
Handle Flexport API rate limits with exponential backoff, queue-based throttling, and response header monitoring for logistics API calls.
Set up monitoring + alerting for Flow runtime errors at org scale: routing fault emails, Flow runtime error reports, custom centralized logging (Integration_Log__c), escalation…
Running services and background processes in Flox environments. Use for service configuration, network services, logging, database setup, and service debugging.
Use when monitoring code quality over time, measuring refactoring impact, tracking if complexity is improving or worsening, or validating technical debt work - tracks complexity…
Comprehensive debugging toolkit for Gamma integration issues. Use when you need detailed diagnostics, request tracing, or systematic debugging of Gamma API problems.
Use when the user is debugging a bug, tracing an error, or asking why something fails. Examples: \"Why is X failing?\", \"Where does this error come from?\", \"Trace this — from…
Use when building Grafana dashboards backed by Prometheus, Loki, or Tempo, designing PromQL/LogQL queries, wiring template variables, setting alert rules, building SLO dashboards,…
Grafana Dashboard Creator - Auto-activating skill for DevOps Advanced. Triggers on: grafana dashboard creator, grafana dashboard creator Part of the DevOps Advanced skill category.
Improve OpenShift/Kubernetes Grafana dashboards and validate PromQL/GitOps changes.
Scaffold and automate Grafana plugin projects using @grafana/create-plugin. Use when creating panel plugins, data source plugins, app plugins, or backend plugins.
Use this when: set up Grafana dashboards, configure Prometheus scraping, write recording rules, configure alerting, monitoring is broken, dashboards are wrong, cardinality is…
Highlight.io is an open-source full-stack monitoring platform combining session replay, error monitoring, logging, and distributed tracing in a single cohesive tool.