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Found 388 Skills
Minimal smoke test for SLS log query skill. Validate SDK auth and one bounded query.
Search and filter Observability logs using ES|QL. Use when investigating log spikes, errors, or anomalies; getting volume and trends; or drilling into services or containers during incidents.
Monitor LLMs and agentic apps: performance, token/cost, response quality, and workflow orchestration. Use when the user asks about LLM monitoring, GenAI observability, or AI cost/quality.
Use when you need to implement or improve Java logging and observability — including selecting SLF4J with Logback/Log4j2, applying proper log levels (ERROR, WARN, INFO, DEBUG, TRACE), parameterized logging, secure logging without sensitive data exposure, environment-specific configuration, log aggregation and monitoring, or validating logging through tests. Part of the skills-for-java project
Apply when making VTEX IO services easier to observe, troubleshoot, and operate in production. Covers metrics, structured logging, failure visibility, rate-limit awareness, and production readiness checks for backend apps. Use for integration monitoring, error diagnosis, or improving the operational quality of VTEX IO services before or after release.
Expert skill for Datadog Observability & Security Platform
LLM observability platform for tracing, evaluation, prompt management, and cost tracking. Use when setting up Langfuse, monitoring LLM costs, tracking token usage, or implementing prompt versioning.
Monitoring and observability with OpenTelemetry, Prometheus, Grafana dashboards, and structured logging
Self-report agent issues by logging user corrections for later review, then resume with the correct skill. Use when a user says "don’t do that", "stop doing X", "always do Y", or requests self-correction.
Monitoring, logging, and tracing implementation using OpenTelemetry as the unified standard. Use when building production systems requiring visibility into performance, errors, and behavior. Covers OpenTelemetry (metrics, logs, traces), Prometheus, Grafana, Loki, Jaeger, Tempo, structured logging (structlog, tracing, slog, pino), and alerting.
Monitor Granola usage, analytics, and meeting insights. Use when tracking meeting patterns, analyzing team productivity, or building meeting analytics dashboards. Trigger with phrases like "granola analytics", "granola metrics", "granola monitoring", "meeting insights", "granola observability".
Extract and analyze Agentforce session tracing data from Salesforce Data 360. Supports high-volume extraction (1-10M records/day), Polars-based analysis, and debugging workflows for agent sessions.