Skill UI

A comprehensive guide detailing five validated architecture patterns for utilizing Notion as a powerful backend database. Use cases include: Headless CMS for blogging, task tracking for project management, building knowledge bases (wikis), handling form submissions, and serving as a data pipeline source. Includes schema design and code examples using TypeScript and Python.

This skill provides robust methods for handling sensitive data within Notion integrations. It systematically detects Personally Identifiable Information (PII), such as emails, phone numbers, SSNs, and credit cards, within both page properties and rich text content. Users can implement data redaction mechanisms before logging or exporting, ensuring the data handling process fully complies with major privacy regulations like GDPR and CCPA.

A comprehensive wrapper for Notion API calls that implements full observability. It automatically tracks vital metrics including request rates, latency (average, p95), error counts, and rate limit status. This skill is essential for building reliable monitoring dashboards, setting up alerts, and ensuring the health of Notion integrations in production environments. It supports structured logging and Prometheus metrics.

This skill guides the setup of comprehensive observability for Palantir Foundry integrations. It covers structured logging, Prometheus metrics (latency, errors), health checks, and Prometheus alert rules, enabling robust monitoring of API integration health, performance, and reliability. Use this when implementing production-grade monitoring for Foundry APIs.

A powerful, kubectl/docker-style CLI tool designed to manage and submit distributed computing jobs on the Qizhi (启智) platform. Use it for tasks like logging in, checking resource availability, discovering workspaces, and submitting complex GPU, CPU, or batch jobs efficiently.

Provides comprehensive observability for Salesforce integrations, covering API limit monitoring, SOQL performance tracking, error rate analysis, and structured logging. Use this skill when building robust, reliable connections to Salesforce, ensuring you track API consumption, detect performance bottlenecks, and set up critical alerting using tools like Prometheus and Grafana.

Implement a comprehensive observability stack for Webflow Data API v2 integrations. This skill provides structured code using Prometheus metrics, OpenTelemetry distributed tracing, and structured logging (pino) to monitor API call frequency, latency, error rates, and rate limit usage. Ideal for developers building robust, production-grade Webflow-connected SaaS applications that require deep performance insights and reliable alerting.

This catalog provides a comprehensive set of foundational abstractions for building robust, scalable applications. It includes standardized interfaces for interacting with AI models, managing key-value data stores, publishing domain events, structured logging, and handling build parameters. Developers can rely on these abstractions to ensure modularity and consistency across different service layers.

This module provides the core `Logger` abstraction for structured logging within the Webiny API context. It supports multiple logging levels (e.g., debug, info, warn, error), ensuring that developers can record application events and operational data systematically. Using this abstraction helps in centralized logging, which is crucial for debugging, monitoring, and maintaining system health.

This package provides essential service abstractions for building command-line interface (CLI) applications within the Webiny ecosystem. It defines standardized interfaces for core functionalities like logging (LoggerService) and managing user interaction (UiService), ensuring consistency, modularity, and type safety across different CLI projects.

This component is an essential extension for KubeSphere Observability Platform, designed for comprehensive collection, processing, and storage of Kubernetes and KubeSphere audit events. It supports various sinks, including OpenSearch and Doris, and provides an API for querying historical audit data, ensuring robust auditing capabilities for platform operations.

XcodeBuildMCP is a unified skill set designed to streamline the entire mobile and desktop development lifecycle. It replaces raw command-line tools like xcodebuild, xcrun, and simctl, providing structured workflows for iOS, macOS, watchOS, tvOS, and visionOS. Capabilities include project discovery, managing simulator and physical device workflows, advanced UI automation (gestures, view inspection), robust logging, and deep debugging using LLDB. It simplifies complex build, test, and run operations across multiple platforms.