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Found 456 Skills
Troubleshoot Coval OpenTelemetry trace ingestion, missing trace UI, sparse traces, bad simulation or conversation correlation, auth/org errors, oversized payloads, duplicate spans, and production debugging with Trace Search.
Design structured logging systems with context propagation. Use to ensure Python applications are observable and logs are machine-readable.
View Langfuse session details with all traces. Use when analyzing conversation flows, checking session costs, or debugging multi-turn interactions.
LLM cost tracking with Langfuse for cached responses. Use when monitoring cache effectiveness, tracking cost savings, or attributing costs to agents in multi-agent systems.
View Langfuse trace details. Use when checking specific trace input/output, debugging LLM calls, or analyzing costs.
Service mesh for microservices networking. Use for service-to-service.
Use when "LangChain", "LLM chains", "ReAct agents", "tool calling", or asking about "RAG pipelines", "conversation memory", "document QA", "agent tools", "LangSmith"
Internal skill. Use cc10x-router for all development tasks.
Query and analyze Datadog logs, metrics, APM traces, and monitors using the Datadog API. Use when debugging production issues, monitoring application performance, or investigating alerts.
Full Sentry SDK setup for Android. Use when asked to "add Sentry to Android", "install sentry-android", "setup Sentry in Android", or configure error monitoring, tracing, profiling, session replay, or logging for Android applications. Supports Kotlin and Java codebases.
Implements error handling patterns, structured logging, retry strategies, circuit breakers, and graceful degradation. Use when designing error handling, setting up logging, implementing retries, adding error tracking, or when asked about error boundaries, log aggregation, alerting, or resilience patterns.
Trace agent execution by collecting spans and building a trace tree for a task