Skill UI

A comprehensive runbook for diagnosing and resolving production incidents involving the Clay SaaS platform. It provides structured triage steps, severity definitions (P1-P4), and resolution guides for issues like credit exhaustion, webhook failures, and data flow outages, ensuring minimal downtime.

A sophisticated memory management system designed to recover, reconstruct, and maintain project context across complex, distributed, and multi-agent AI workflows. It specializes in advanced semantic memory rehydration, utilizing semantic vector search, relevance ranking, and conflict resolution to ensure seamless continuity and high fidelity of historical knowledge.

A comprehensive diagnostic and resolution guide for frequent issues encountered in the Cursor IDE. Covers advanced topics including authentication failures (OAuth loops), AI completion glitches, indexing problems, performance slowdowns, and extension conflicts, ensuring developers can quickly restore optimal workflow.

A comprehensive guide for integrating and managing VS Code extensions within the Cursor IDE environment. This resource details the transition from the Microsoft Marketplace to the Open VSX Registry, covering installation methods (in-app, VSIX, CLI), conflict resolution with advanced AI features (e.g., Copilot, TabNine), and best practices for ensuring optimal performance and recommended extension stacks for various languages like Python, JavaScript, and Go.

This skill guides the process of transforming complex, raw data into compelling, actionable narratives. It covers the core structure (Setup, Conflict, Resolution), narrative arcs, and the three pillars (Data, Narrative, Visuals) needed to create high-impact presentations for executives, investors, and non-technical stakeholders. It ensures insights drive clear decisions.

A comprehensive runbook designed for on-call engineers to manage Databricks incidents, outages, and major job failures. It provides structured procedures for immediate triage, decision tree guidance (covering cluster failures, code errors, and data quality issues), and steps for evidence collection and postmortem documentation, ensuring rapid and systematic incident resolution.

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.

A comprehensive guide for advanced DevOps troubleshooting. It covers modern observability practices (ELK, Prometheus, Jaeger), deep debugging for Kubernetes and containers, complex network analysis, CI/CD pipeline failure resolution, and multi-cloud platform issues. Ideal for performing root cause analysis and building highly resilient systems.

This skill acts as an expert guide for implementing comprehensive error monitoring and observability solutions. It covers setting up robust error tracking systems, configuring intelligent alerts, implementing structured logging, and establishing advanced error grouping and recovery strategies. Use it to enhance production stability and accelerate issue resolution.

This skill provides functionality to upscale and enhance the resolution of both images and videos using advanced Artificial Intelligence models. It is useful for improving visual quality, restoring detail, and increasing the clarity of low-resolution media assets for creative and professional use.

Enhances screenshots and digital photos by analyzing quality, upscaling resolution, sharpening edges, and reducing artifacts so they stay presentation-ready for docs, slides, or social media.

A comprehensive SRE/DevOps framework guiding teams through the entire incident lifecycle: detection, response, resolution, and post-mortem. Features include automated severity classification, timeline reconstruction from scattered logs, and structured Post-Incident Review (PIR) generation, enabling effective command and control during major outages.