Skill UI

Provides deep, advanced debugging techniques for complex data enrichment failures within the Clay platform. This guide helps isolate root causes related to provider degradation, data flow errors, and API column issues when standard troubleshooting methods fail. It covers layer testing (Webhook, API), error pattern analysis, and local API replication, enabling users to diagnose deep system issues.

A comprehensive guide for engineering teams to manage critical incidents related to Clerk authentication and SaaS platform outages. It covers full incident lifecycle procedures, including initial triage, emergency auth bypass implementation, key rotation, session recovery scripts, and post-incident root cause analysis. Use this when facing production authentication failures or security breaches.

Analyzes namespaces to spot root-level orphaned classes, highlights hierarchy violations, and produces flattening or refactoring plans that keep components at leaf-level directories.

This bundle provides a comprehensive framework for diagnosing and fixing common issues when AI code generation is incorrect within Cursor. It systematically covers the root causes of poor suggestions, including context mismanagement (missing, wrong, or overflowing context), model hallucinations, and ambiguous prompting. Use this guide to improve the accuracy and reliability of AI-assisted coding workflows.

A comprehensive guide detailing how to efficiently manage large, complex codebases using Cursor's multi-root workspace features. Learn to set up monorepos, utilize selective indexing, and maintain cross-project context across multiple repositories, ensuring fast and accurate code understanding in massive projects.

This specialized skill acts as an expert debugger, designed for deep root cause analysis of software errors, test failures, and unexpected behavior. It guides the user through systematic debugging processes, including capturing stack traces, isolating failure points, implementing minimal fixes, and providing comprehensive reports detailing the root cause, evidence, specific code patches, and prevention recommendations. Ideal for complex bug resolution and quality assurance.

This skill provides a structured methodology for tackling complex bugs, performance bottlenecks, and production incidents. It guides users through reproducing issues, forming hypotheses, performing controlled experiments, and narrowing down the scope using proven strategies and tools. Ideal for deep dive troubleshooting and root cause analysis in complex software systems.

A comprehensive, expert-level workflow for debugging complex software issues in production environments. This skill guides users through initial triage, advanced observability data collection (APM, distributed traces, logs), intelligent hypothesis generation, and full root cause analysis. Use it when dealing with intermittent failures, performance bottlenecks, or needing a complete fix and prevention plan.

This expert guide provides a systematic, structured methodology for debugging complex software issues. It teaches users how to analyze stack traces, correlate logs, establish consistent reproduction steps, and apply hypothesis-driven testing to isolate and resolve bugs, crashes, or unexpected behavior in any codebase. Essential for professional troubleshooting and quality assurance.

This expert provides advanced, practical knowledge across the entire lifecycle of containerized applications. Core expertise includes multi-stage Dockerfile optimization, container security hardening (non-root users, minimal attack surface), and advanced orchestration using patterns like Docker Compose. Ideal for ensuring robust, secure, and production-ready deployments.

A comprehensive guide to building, optimizing, and deploying production-grade Docker images and containers. Covers advanced concepts such as multi-stage builds, layer caching optimization, security hardening (non-root users, secrets), health checks, and effective volume/network configuration using docker-compose.

This skill provides expert capabilities for diagnosing and resolving complex system failures in distributed environments. It is designed for investigating production incidents, performing deep root-cause analysis using observability tools (logging, tracing), and proposing robust, preventive fixes. Use it to significantly enhance system stability and reliability.