Discover Agent Skills for analytics & monitoring. Browse 47 skills for Claude, ChatGPT & Codex.
Provides standardized incident response procedures and diagnostic tools for troubleshooting Lindy AI integrations and outages.
Executes rapid incident response, triage, and mitigation procedures for Speak language learning service outages.
Implements professional-grade monitoring, distributed tracing, and automated alerting for Mistral AI integrations.
Automatically captures and logs Claude Code session traces to Braintrust for full observability and debugging.
Implements end-to-end observability for LLM applications by tracing calls, spans, and generations using Langfuse.
Configures and manages PostHog instances across development, staging, and production environments with secure secret handling.
Monitors and optimizes Core Web Vitals to enhance frontend performance, search engine rankings, and user experience.
Enhances application observability by implementing advanced Sentry error tracking and context enrichment patterns.
Implements comprehensive LLM evaluation workflows, including manual scoring, user feedback capture, and automated LLM-as-judge patterns.
Analyzes web performance and Core Web Vitals using Chrome DevTools to identify and resolve site speed bottlenecks.
Implements comprehensive monitoring, logging, and tracing for MaintainX API integrations to ensure high reliability and fast incident response.
Configures and manages automated notifications, webhooks, and alert systems for Databricks jobs and pipelines.
Automates the generation and configuration of AWS CloudWatch alarms to monitor infrastructure performance and operational health.
Facilitates rapid incident response and recovery for Vast.ai service outages and integration failures through automated triage and mitigation steps.
Automates incident response and diagnostic procedures for MaintainX API integrations and synchronization failures.
Optimizes Lokalise expenditures through automated usage analysis, plan right-sizing, and resource cleanup.
Upgrades Langfuse SDKs and migrates codebase patterns to resolve breaking changes across TypeScript and Python environments.
Provides standardized incident response procedures and automation scripts for managing Mistral AI integration failures.
Deploys and configures Langfuse observability across cloud platforms and serverless environments with production-ready orchestration patterns.
Implements robust rate limiting, exponential backoff, and idempotency patterns for PostHog API integrations.
Optimizes OpenEvidence API expenditures and clinical AI usage efficiency through smart budgeting and request management.
Implements robust error handling patterns, structured logging, and resilience strategies like retries and circuit breakers for production-grade applications.
Implements comprehensive monitoring for Lokalise integrations using metrics, structured logging, and automated alerting.
Implements production-ready LLM observability infrastructure using standardized Langfuse architecture patterns and best practices.
Configures secure webhook endpoints and event-driven architectures to monitor Langfuse LLM traces and scores in real-time.
Automates the installation and configuration of PostHog SDKs and API authentication for project initialization.
Automates the process of upgrading PostHog SDK versions while detecting and resolving breaking changes.
Generates comprehensive diagnostic reports and sanitized logs for troubleshooting OpenEvidence API integrations.
Automates the collection of redacted diagnostic logs and environment data for troubleshooting Speak SDK integrations.
Generates comprehensive diagnostic bundles and redacted logs to troubleshoot Lokalise integration issues and accelerate support requests.
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