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…
Monitors and troubleshoots GKE TPU workloads, nodes, and node pools using GKE system metrics and PromQL.
Monitors and troubleshoots GKE TPU workloads, nodes, and node pools using GKE system metrics and PromQL.
Review, improve, organize, deploy, and verify Grafana dashboards, provisioned alert rules, and the Telegraf→InfluxDB→Grafana monitoring stack.
Use Grafana MCP, LitmusChaos, Alertmanager, Argo Workflows, and kagent to investigate chaos or production alerts, gather evidence, and produce an SRE-ready visual handoff.
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.
Build SRE-ready Grafana evidence packs from alert labels, using agent home dashboards for context and incident-specific dashboards for ticket handoff.
Install, configure, and use the Grafana MCP server effectively. Covers setup via Docker or binary, environment variables, tool categories, RBAC, and best practices for context…
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…
Write PromQL and LogQL queries in Grafana against Prometheus and Loki data sources. Use when building panel queries, exploring metrics and logs, or debugging query results.
Operate and integrate cooperative lifecycle control for detached Hugging Face Jobs with the hf-job-control Python package and CLI, including durable chunked outputs, audits, and…
Highlight.io is an open-source full-stack monitoring platform combining session replay, error monitoring, logging, and distributed tracing in a single cohesive tool.
Optimize Ideogram costs through model selection, caching, and usage monitoring. Use when analyzing Ideogram billing, reducing API costs, or implementing budget alerts and usage…
Filters specific errors from Sentry reporting in this OneKey monorepo. Use when needing to ignore/suppress/filter Sentry errors, add error exclusions, or stop certain errors from…
Implementar clientes de infraestrutura em infrastructure/. Use quando criar client externo, configuração, integração LLM, tracing, ou conexão com serviços fora do synth-l — from…
Run implement-review-fix cycle using multiple LLMs (Claude, Codex, Gemini, Grok, Mistral). Use for features, bugs, or refactoring with multi-LLM collaboration.
Deploy and configure the Dragos Platform for OT network monitoring, leveraging its 600+ industrial protocol
[Extended thinking: This workflow implements a sophisticated debugging and resolution pipeline that leverages AI-assisted debugging tools and observability platforms to…
Audit infrastructure status, health, and compliance without modifications - provides observability and drift detection
OpenClaw Agent Infrastructure Guardian — keep your agent's infrastructure alive. Process lifecycle management with detached execution, auto-restart on failure.
Perform routine infrastructure maintenance: health checks, log rotation, certificate renewal, dependency updates, database maintenance, cache management, and capacity monitoring.
Cross-cutting infrastructure security audit skill that checks cloud infrastructure, DNS, TLS, endpoints, access control, network security, containers, CI/CD pipelines, secrets…
Set up comprehensive infrastructure monitoring with Prometheus, Grafana, and alerting systems for metrics, health checks, and performance tracking.
Anwendungen mit OpenTelemetry fuer verteiltes Tracing instrumentieren, einschliesslich automatischer und manueller Instrumentierung, Kontextpropagierung, Sampling-Strategien und…
Optimize Intercom API costs through caching, request reduction, and usage monitoring. Use when analyzing Intercom API usage, reducing unnecessary requests, or implementing usage…
Handle Intercom API rate limits with backoff, queuing, and header monitoring. Use when handling 429 errors, implementing retry logic, or optimizing API request throughput for…
Debug issues that occur sporadically and are hard to reproduce. Use monitoring and systematic investigation to identify root causes of flaky behavior.
Handle alerts and debugging questions from Slack, query connected monitoring MCP servers, and follow runbook-guided investigation steps for live incidents.
Jaeger/OpenTelemetry patterns plus Skriptoteket tracing conventions (async context propagation, correlation, debugging).
Reviews and improves Debug.Log usage in Unity C# projects following structured logging principles: context tags, severity contracts, boundary-based placement, and criticality…
Before hand-building any reusable building block in a Jardis project — caching, scheduling, HTTP clients, queues or messaging, validation, logging, secrets, persistence, or DDD…
Programmatic interface to Google's Jules API for asynchronous coding task delegation. Use when creating Jules sessions, monitoring async work, or integrating code…
Debugging Kindlings macro derivation. LogDerivation imports, MIO diagnostic logging, flame graph generation, error trait hierarchy per module, compile-time annotation collection,…
Diagnoses Kirby rendering/runtime issues using MCP runtime rendering, dump traces, and template/snippet/controller indexes.
Set up logging and debugging for Kling AI API integrations. Use when troubleshooting video generation or building observability.
Track and monitor Kling AI video generation task status. Use when building dashboards, tracking batch jobs, or debugging stuck tasks.
Diagnose Kotlin Multiplatform performance and observability across Gradle build time, Kotlin/Native memory and GC, Compose Multiplatform jank, binary size, startup, runtime…
Add Timber logging statements to Kotlin Android files. Analyzes code logic to insert debug, info, warning, and error logs at function entry/exit, conditionals, try-catch blocks,…
Expert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with LangChain, LlamaIndex, and — from…
Expert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with LangChain, LlamaIndex, and — from…
Expert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with LangChain, LlamaIndex, and — from…
Expert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with LangChain, LlamaIndex, and — from…
Troubleshoot and respond to Langfuse-related incidents and outages. Use when experiencing Langfuse outages, debugging production issues, or responding to LLM observability…
Implement Langfuse rate limiting, batching, and backoff patterns. Use when handling rate limit errors, optimizing trace ingestion, or managing high-volume LLM observability…
Integrate Langfuse observability with AWS Strands Agents for comprehensive tracing, monitoring, and debugging of AI agent applications.
Query Langfuse traces for debugging LLM calls, analyzing token usage, and investigating workflow executions.
LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production — from…
LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production — from…
LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production — from…
LangSmith tracing and debugging setup for LLM applications. Configure observability, capture traces, and enable debugging for LangChain/LangGraph agents.
Integrates Lighthouse CI for automated performance testing, Core Web Vitals tracking, and regression detection in CI/CD pipelines.
Lighthouse optimization workflow for WordPress with deterministic handling of plugin/theme bloat, render-blocking assets, caching/CDN strategy, and image optimization.
Expert knowledge for real-time and baked lighting in games - from cinematography fundamentals to engine-specific optimization, covering GI, time-of-day, volumetrics, and…
Comprehensive debugging toolkit for Linear integrations. Use when setting up logging, tracing API calls, or building debug utilities for Linear.
Make a brownfield project agent-ready: build the initial knowledge wiki from read-only, redacted ingestion of every inventoried source (repository, git history, connected…
Instrument LLM applications with request tracing, token accounting, quality signals, and feedback loops.
Configures structured JSON logging with Serilog (.NET) or structlog (Python). Use when adding logging to backend projects.