Skill UI

This skill provides comprehensive guidance on building reliable, fast, and maintainable end-to-end (E2E) test suites. It ensures code quality by validating critical user journeys and catching regressions in complex workflows before deployment. Essential for setting up robust CI/CD pipelines, cross-browser compatibility, and establishing rigorous QA standards.

Guides AWS users through validating, generating, and following best practices for EKS cluster configuration tasks across compute, storage, networking, and serverless environments.

Guides AWS users through Elasticache configuration workflows, offering best-practice patterns, production-ready snippets, and validation checks whenever “elasticache config” is mentioned.

Auto-activating skill that guides business users through email parser setup, pattern design, and production-ready workflows for automating email handling and related business processes.

Automates Entelligence operations through Composio’s toolkit via the Rube MCP channel, guiding users to always discover current schemas, verify connections, and execute tools with compliant arguments.

Guides DevOps users through managing environment variables with best practices, code/config generation, and validation while covering foundational version control, containerization, CI/CD, and infrastructure topics.

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.

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.

Automates Esignatures IO operations through the Composio toolkit using Rube MCP, guiding users to discover tools, verify active connections, and execute compliant workflows with session-aware calls.

Provides detailed evaluation of machine learning models using plugin metrics to assess accuracy, precision, recall, F1, and other key indicators, helping users compare models and validate performance before deployment.

A comprehensive guide to diagnosing and resolving common errors encountered when using the Evernote API. It covers three main exception types—User, System, and Not Found—and provides practical solutions, including ENML validation, rate limit retry mechanisms, and safe resource retrieval patterns, ensuring robust application integration.

A comprehensive workflow for implementing advanced search and retrieval features within Evernote. It allows users to build complex queries using search grammar, filter notes by tags, notebooks, dates, and completion status, and paginates through large result sets. The service also enriches results by mapping GUIDs to human-readable names for notebooks and tags.