Discover Agent Skills for analytics & monitoring. Browse 47 skills for Claude, ChatGPT & Codex.
Generates comprehensive diagnostic bundles and redacted logs to troubleshoot Lokalise integration issues and accelerate support requests.
Automates the process of upgrading PostHog SDK versions while detecting and resolving breaking changes.
Implements sophisticated rate limiting, batching, and backoff patterns for high-volume Langfuse observability workloads.
Implements comprehensive monitoring, metrics, and alerting for Langfuse LLM operations using Prometheus and Grafana.
Optimizes Sentry implementations for high-traffic applications to manage event volume, costs, and performance.
Automates the installation and configuration of PostHog SDKs and API authentication for project initialization.
Implements comprehensive monitoring, structured logging, and distributed tracing for Documenso digital signature integrations.
Implements production-ready LLM observability infrastructure using standardized Langfuse architecture patterns and best practices.
Automates the collection of redacted diagnostic logs and environment data for troubleshooting Speak SDK integrations.
Provides standardized procedures and automated scripts for triaging, diagnosing, and resolving production incidents in Guidewire InsuranceSuite.
Implements comprehensive monitoring, structured logging, and distributed tracing for Evernote API integrations to ensure service reliability.
Automates the collection of diagnostic evidence and redacted logs for Windsurf troubleshooting and support tickets.
Analyzes and optimizes TwinMind usage across all pricing tiers to reduce operational costs and prevent budget overruns.
Diagnoses and resolves common PostHog integration errors and API exceptions to ensure stable data tracking.
Implements comprehensive logging, performance monitoring, and error tracking systems for Obsidian plugins.
Generates comprehensive diagnostic reports and environment snapshots to troubleshoot TwinMind API and extension issues.
Implements idiomatic Langfuse SDK patterns and best practices for comprehensive LLM application observability and tracing.
Optimizes Lindy AI agent latency and throughput through instruction refinement, caching, and streaming implementation.
Sets up and configures the Langfuse SDK for LLM observability and tracing in Python and Node.js environments.
Generates a comprehensive diagnostic package to troubleshoot and resolve Langfuse integration issues and support tickets.
Implements comprehensive monitoring, distributed tracing, and automated alerting for Supabase database integrations.
Automates Sentry release workflows, including version creation, commit association, and source map management.
Monitors and maps the flow of data across pipelines to ensure transparency, compliance, and impact analysis.
Optimizes Deepgram transcription expenditures through intelligent model selection, audio preprocessing, and real-time usage monitoring.
Streamlines incident response for Clay integrations with automated triage, guided mitigation, and post-incident reporting.
Implements comprehensive monitoring, metrics, and structured logging for Apollo.io API integrations.
Analyzes and optimizes application performance across frontend, backend, and database layers using data-driven workflows.
Maps execution paths and identifies likely hotspots to streamline performance profiling and optimization workflows.
Appends structured performance investigation notes and evidence to a persistent workspace state for auditability and tracking.
Manages and compares performance baselines by consolidating versioned metrics and environment metadata into standardized JSON files.
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