Skill UI

A comprehensive skill for analyzing Non-Fungible Tokens (NFTs). It fetches collection metadata from APIs (like OpenSea), parses trait attributes, and calculates advanced rarity scores using multiple algorithms (e.g., rarity_score, information entropy). Use this tool to rank tokens by uniqueness, compare specific NFTs, or analyze the distribution of traits within an entire collection, outputting results in JSON or CSV format. Ideal for crypto research and market due diligence.

A comprehensive Java SDK client for securely and efficiently sending custom application logs to Azure Monitor. It utilizes Data Collection Rules (DCR) and Data Collection Endpoints (DCE) to manage the ingestion process. The client supports batch uploads, concurrent processing, and robust error handling, making it ideal for integrating custom logging into Azure Log Analytics workspaces.

BusyBox is a single, portable binary that implements a vast collection of common Unix utilities (such as ls, grep, sed, etc.). This skill allows users to run standard Unix command-line tools directly within a Windows environment, solving compatibility issues for developers and system administrators who rely on cross-platform scripting. It provides necessary Unix functionality without requiring a full Linux subsystem.

This script automates the collection of comprehensive diagnostic evidence for troubleshooting issues on the Clay web platform. It systematically tests webhook connectivity, captures environment details (Node, Python, OS), verifies API keys, and gathers recent application logs. The resulting bundle provides all necessary data points for submitting detailed support tickets and accelerating debugging.

Automates configuring and aggregating infrastructure metrics across compute, storage, network, containers, load balancers, and databases with Prometheus, Datadog, or CloudWatch for dashboards and capacity tracking.

This framework provides comprehensive compliance and security auditing for Cursor IDE usage. It covers major regulations like SOC 2, GDPR, and HIPAA, guiding users through detailed checklists, evidence collection, and remediation steps. It is essential for enterprise teams requiring robust data governance and adherence to strict industry standards.

This guide provides expert patterns for building robust, observable infrastructure for database migrations. It covers real-time monitoring using Change Data Capture (CDC), metrics collection (Prometheus/Grafana), and anomaly detection. Use this skill when setting up CDC pipelines (e.g., Debezium with Kafka) or implementing comprehensive observability for database schema changes and data synchronization processes.

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.

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.

Provides a comprehensive framework for implementing observability in Evernote integrations. It covers metrics collection (Prometheus), structured JSON logging, distributed tracing (OpenTelemetry), and defining health/readiness endpoints. Use this when setting up production monitoring, alerting, and performance tracking for mission-critical Evernote APIs.

A comprehensive runbook providing systematic procedures for responding to Firecrawl API outages and integration failures. It guides technical teams through triage, diagnosis, and mitigation for common issues (e.g., 401, 429, 5xx errors). Includes steps for fallback implementation, evidence collection, and postmortem documentation to ensure rapid service recovery.

A collection of production-ready GitHub Actions workflow patterns designed for automating the entire software development lifecycle (SDLC). Use these templates to streamline continuous integration (CI), build Docker images, deploy to Kubernetes clusters, perform security scans, and execute matrix testing across various tech stacks.