Browser automation, debugging, and performance analysis using Puppeteer CLI scripts. Use for automating browsers, taking screenshots, analyzing performance, monitoring ne — from…
Browser automation, debugging, and performance analysis using Puppeteer CLI scripts. Use for automating browsers, taking screenshots, analyzing performance, monitoring ne — from…
Browser automation, debugging, and performance analysis using Puppeteer CLI scripts. Use for automating browsers, taking screenshots, analyzing performance, monitoring ne — from…
Autonomous CI fix loop with background monitoring and retry logic. Runs up to 10 fix-commit-push-wait cycles until CI passes or max retries reached.
Query PyTorch CI, GitHub Actions, HUD, Grafana, and infrastructure metrics. Use when users ask about CI duration, job failures, queue times, workflow trends, runner health,…
Use after creating PR - monitor CI pipeline, resolve failures cyclically until green or issue is identified as unresolvable
CI/CD pipeline monitoring and polling. Use PROACTIVELY when user pushes code, creates PR/MR, mentions "wait for CI", "check the build", "monitor pipeline", "watch workflow", or…
Optimize Anthropic API costs — model selection, prompt caching, batches, Use when working with cost-tuning patterns. token reduction, and usage monitoring.
Emit low-cost debug telemetry for skill-listing batches that records batch size, initial-vs-dynamic mode, and cumulative sent count without logging the payload body.
Claude Code internals - hooks, skills, subagents, headless mode, and debugging, current as of June 2026.
Safe removal of unnecessary variables during code review and refactoring. Use when simplifying code, inlining temporary or single-use variables, or removing redundant aliases,…
Implement monitoring, logging, and observability for Clerk authentication. Use when setting up monitoring, debugging auth issues in production, or implementing audit logging.
Optimize ClickUp API usage costs through plan selection, request reduction, caching, and usage monitoring.
Handle ClickUp API rate limits with backoff, queuing, and header monitoring. Use when hitting 429 errors, implementing retry logic, or optimizing API throughput against ClickUp's…
Systematic debugging with root cause tracing. Use when encountering bugs, test failures, or unexpected behavior - find root cause before attempting fixes, trace backward through…
Analyze code complexity, cyclomatic complexity, maintainability index, and code churn using metrics tools.
Collect comprehensive infrastructure performance metrics across compute, storage, network, containers, load balancers, and databases.
Troubleshoot systematically using the Scientific Method. Use when debugging crashes, tracing errors, diagnosing unexpected behavior, or investigating exceptions.
Token-efficient JS/TS code investigation. Use when exploring unfamiliar code, tracing symbol usage, understanding a file before editing, debugging cross-file behavior, or…
Configure OpenTelemetry distributed tracing, metrics, and logging in ASP.NET Core using the .NET OpenTelemetry SDK.
Global hooks for logging Claude Code conversation events to markdown files. Tracks prompts, tool usage, and responses across all sessions.
Unify metrics, logs, and traces for cohesive debugging. Implement exemplars for log-to-trace linking, build unified dashboards using RED/USE methods, and enable rapid root cause…
Implement distributed tracing with correlation IDs, trace propagation, and span tracking across microservices.
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…
Reviews and authors Cloudflare Workers code against production best practices. Load when writing new Workers, reviewing Worker code, configuring wrangler.jsonc, or checki — from…
Full Sentry SDK setup for browser JavaScript. Use when asked to \"add Sentry to a website\", \"install @sentry/browser\", or configure error monitoring, tracing, session replay,…
Analyze and resolve Sentry comments on GitHub Pull Requests. Use this when asked to review or fix issues identified by Sentry in PR comments.
Full Sentry SDK setup for .NET. Use when asked to \"add Sentry to .NET\", \"install Sentry for C#\", or configure error monitoring, tracing, profiling, logging, or crons for…
Full Sentry SDK setup for Node.js, Bun, and Deno. Use when asked to \"add Sentry to Node.js\", \"add Sentry to Bun\", \"add Sentry to Deno\", \"install @sentry/node\",…
Review a project's PRs to check for issues detected in code review by Seer Bug Prediction. Use when asked to review or fix issues identified by Sentry in PR comments, or — 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.
Debug FlyDSL GPU kernels that produce NaN, inf, wrong results, or crash. Covers cache invalidation, tracing pitfalls (runtime conditionals, range vs range_constexpr), loop-carried…
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.
Enable verbose / trace-level logging across the iEvo pipeline. Use when the user wants to debug an init, evolution, or security-audit session — captures full prompts, full…
Monitor, triage, fix, and proactively enhance Sentry error monitoring for any project. Use when asked to: check Sentry, fix Sentry errors, triage Sentry issues, run post-deploy…
Structured diagnostic workflow for debugging application issues using Grafana observability data. Use when the user reports errors, latency spikes, service degradation, HTTP 500s,…
Systematic debugging framework ensuring root cause investigation before fixes. Includes four-phase debugging process, backward call stack tracing, multi-layer validation, and…
Runtime-instrumentation debugging for bugs that static reading can't pin down — add temporary unconditional JSONL logging to the real code path, reproduce, read the log, then fix.
Apply systematic root cause analysis and debugging methodologies to diagnose and fix bugs, test failures, and unexpected behavior.
Guides systematic debugging methodology and troubleshooting approaches. Use when investigating bugs, tracing issues, or teaching debugging patterns.
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 distributed tracing with Jaeger and Tempo to track requests across microservices and identify performance bottlenecks.
Distributed tracing for Rails — OpenTelemetry SDK + auto-instrumentation, trace + span model, context propagation across HTTP / Sidekiq / Kafka, baggage, sampling strategies,…
Implement monitoring, logging, and tracing for Documenso integrations. Use when setting up observability, implementing metrics collection, or debugging production issues.