Skill UI

This skill guides the implementation of comprehensive error monitoring and observability solutions. It helps in setting up robust error tracking systems, configuring detailed alerts, implementing structured logging, and establishing workflows to ensure teams can quickly detect, group, and resolve production issues efficiently.

This skill is designed for advanced error detective work. It analyzes complex log streams, correlates stack traces across distributed systems, and detects anomalous error patterns. It helps identify root causes by correlating errors with system deployments and changes, providing actionable findings for immediate fixes and long-term prevention strategies.

A comprehensive, AI-assisted methodology for diagnosing complex software errors in production environments. This skill guides users through the entire debugging lifecycle, from initial triage and gathering observability data (Sentry, DataDog, Jaeger) to generating hypotheses, selecting appropriate debugging strategies (Time-Travel, Chaos Engineering), and performing AI-powered root cause analysis. It culminates in proposing validated fixes and prevention measures.

Provides structured error handling patterns, logging, retry/circuit breaker strategies, and observability workflows across JavaScript, Python, and Go; ideal when designing resilience, retries, aggregated logging, or alerting.

This skill provides guidance on implementing robust error handling strategies to build highly resilient applications. It covers advanced patterns such as circuit breakers, retries, and handling asynchronous errors, ensuring that the application fails gracefully and provides excellent debugging experiences for both developers and end-users.

Guide on automating Espocrm tasks through Composio's toolkit via Rube MCP, outlining how to configure MCP, discover tools, validate active connections, and execute schema-compliant workflows with the required search and memory calls.

Auto-activating skill that assists with API Etag handler tasks, guiding REST/GraphQL/OpenAPI/authentication patterns, generating production-ready code, and validating standards.

Provides step-by-step guidance for automating Etermin operations through Composio's Rube MCP, covering tool discovery, connection checks, execution patterns, and schema compliance requirements when using RUBE_* APIs.

Mastery of advanced system design patterns, including Event Sourcing, CQRS, and Event-Driven Architecture (EDA). This skill covers designing event stores, building read/write projections, orchestrating sagas, and managing eventual consistency. It is ideal for building complex microservices that require guaranteed audit trails, historical state querying (temporal queries), and robust handling of business workflows with compensating actions.

Guide for designing, implementing, and scaling event stores in event-sourced systems, covering requirements, technology comparisons, PostgreSQL schemas, and Python persistence patterns.

Automates guidance for building and validating EventBridge rule configurations within AWS, delivering step-by-step patterns, production-ready code, and best-practice checks whenever a rule creator request is identified.

This skill provides a comprehensive guide to setting up Continuous Integration and Continuous Deployment (CI/CD) pipelines for applications integrating with Evernote. It covers advanced topics such as creating mock clients for deterministic unit testing, managing sandbox integration tests using GitHub Secrets, and structuring robust automated deployment workflows. Use this when ensuring code quality and reliable deployment for Evernote-based SaaS products.