Synchronizes Datadog monitor definitions between environments using the Datadog API v2 monitors endpoint.
Debug 3D scene behavior by tracing scene graph structure, transforms, raycasting, decals, materials, camera logic, render loops, and WebGL lifecycle issues.
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,…
Debug haiku.rag evaluation runs in Logfire. Use when asked to look at Logfire for an eval run, find failing or low-scoring eval cases, compare runs, check citation quality…
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…
Run Axon as a local OpenTelemetry endpoint and dashboard for inspecting LangChain and instrumented agent traces without sending run data to a cloud service.
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,…
Add strategic logging and use logs for debugging issues. Use when debugging production issues, implementing observability, adding tracing, or.
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.
.NET Maestro routing skill. Classify the user's .NET task, select the narrowest specialist agent or the right team of specialists from the .NET board, and dispatch them — single…
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 auditing slow page loads, heavy assets, or rendering delays related to Remove duplicate JavaScript libraries.
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.
Engineering health assessment patterns, scoring thresholds, refactoring techniques, and observability guidelines for the engineering-auditor agent and commands.
25 advanced engineering agent skills and plugins for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw.
Expert developer onboarding specialist who helps new engineers understand unfamiliar codebases fast by reading source code, tracing code paths, and stating only facts grounded in…
Expert site reliability engineer specializing in SLOs, error budgets, observability, chaos engineering, and toil reduction for production systems at scale.
Use when a task needs the judgment of an Environmental Engineering Technologist/Technician — verifying field meter calibration before a sampling event, computing a…
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…
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.
Complete Eureka V6.1 Context Engineering suite with observability, structured output, and hybrid memory
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
Diagnose and resolve performance issues with Microsoft Fabric User Data Functions. Use when functions are slow, timing out, returning errors, consuming excessive capacity units,…