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Observability (Page 4 of 8)

465 Claude Code skills in the Observability sub-category of Engineering.

465 skills · updated 2026-10-25 · showing 181–240 of 465 by quality score

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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.
Add or update logging statements using GFLog library. Use when creating new log statements, refactoring existing logging code (JUL/SLF4J), or when you see string concatenation in…
Comprehensive observability patterns for GitHub Agentic Workflows including structured logging, metrics collection, alerting strategies, debugging techniques, and production…
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.
Use when monitoring ZFS pool health or running scrubs from a machine, script, or timer - checking capacity, read/write/checksum errors, device faults, or scrub age; sending pool…
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…
Design how a platform surfaces integration failures to the external developers and partners who built against it - per-integration request/event/delivery logs with replay,…
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.
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