Skill UI

This tool converts local source audio recordings into a specified, authorized target voice. It manages the complex workflow, including checking source and target voice rights, handling linguistic specifics (locale, accent), and performing previews before generating final assets. It is essential for professional narration, podcasting, and content localization while adhering to strict copyright and identity policies.

A comprehensive voiceover studio that transforms written text into high-quality, professional spoken audio. It supports generating content for podcasts, IVR prompts, educational videos, and product demos. The system handles complex requirements including target locale, specific accents (e.g., British, Mandarin), desired emotion, and pacing, ensuring the resulting audio artifact is natural and contextually accurate. Ideal for content creators and developers needing reliable, multi-lingual narration.

A powerful DI extension point for Website Builders, allowing developers to inject custom query parameters into all live preview URLs. This is essential for integrating complex features like signed tokens, tenant identifiers, or feature flags directly into the preview experience. It supports asynchronous operations, such as fetching remote authorization tokens, ensuring robust customization across the editor iframe and generated links.

This skill provides current weather conditions, multi-day forecasts, and various format options for any specified location by querying external services like wttr.in or Open-Meteo. It is designed for general weather queries, including daily summaries and weekly forecasts, without requiring an API key.

This module provides a comprehensive catalog of abstractions and utilities for handling API webhooks within the Webiny framework. It covers essential components such as payload types (IWebhookPayload), domain models (Webhook), delivery mechanisms, and core services like WebhookDispatcher and WebhookFactory. It supports advanced features including event routing, data validation, and secure payload signing, making it ideal for backend integration development.

A comprehensive guide covering production-grade Android and cross-platform app development. It details best practices for selecting technology stacks (Kotlin, Flutter, React Native, KMM) and implementing modern architectures like Clean Architecture and MVI/MVVM across various platforms.

This workflow systematically analyzes deployed AWS resources and Infrastructure-as-Code (IaC) definitions. It collects usage metrics from CloudWatch and Cost Explorer to identify over-provisioning, unused resources, and inefficient configurations (e.g., right-sizing EC2, S3 lifecycle policies). It generates actionable cost optimization recommendations and creates structured GitHub issues for tracking and implementing savings.

This comprehensive workflow analyzes the health status of various AWS resources (EC2, Lambda, RDS, DynamoDB, etc.). It uses AWS CLI to diagnose potential issues by analyzing CloudWatch logs, metrics, and performance data. The process culminates in classifying root causes and generating actionable, tiered remediation plans (Immediate, Short-term, Long-term) to ensure system resilience and stability.

This skill allows users to query the current state of various AWS resources (including EC2, S3, Lambda, RDS, VPC, etc.) using natural language. It translates user intent into strictly read-only AWS CLI commands (e.g., `describe-*`, `list-*`). Crucially, this tool can only view data and is contractually incapable of performing any write, modify, delete, or mutation actions, ensuring maximum safety.

This automated workflow performs a comprehensive review against the AWS Well-Architected Framework (WAF). It scans IaC definitions (Terraform, CloudFormation, CDK) and deployed resources to identify compliance gaps, security risks, and optimization opportunities across six core pillars. Findings are structured and automatically generated as actionable GitHub issues with remediation code examples.

A comprehensive minimal terminal coding harness designed for building, extending, and integrating advanced AI capabilities directly into CLI environments. It supports deep integration via SDK (Node/TypeScript), RPC, and JSON event streams. Developers can create custom skills, providers, TUI components, and utilize advanced features like web search, video understanding, and agent orchestration.

This skill helps users find alternative, equivalent, or related tools for Japanese Natural Language Processing (NLP). By providing a specific GitHub repository URL, owner/repo name, or tool name (e.g., mecab, fugashi), the system mines a bundled dataset and performs advanced semantic scoring based on shared categories, labels, and tokens. It expands the search via web research to provide comprehensive alternatives.