Skill UI

This catalog provides five core abstractions (`Admin`, `Api`, `Cli`, `Infra`, `Project`) for structuring robust web applications. It ensures developers have standardized access points for managing different components like administrative interfaces, backend APIs, command-line tools, infrastructure configurations, and overall project logic. Developers must import the specific abstraction from the designated path.

This library provides comprehensive infrastructure abstractions for web applications. It offers standardized hooks and services allowing developers to inject custom logic during critical stages of the application lifecycle, including before, after, and during build, deployment, and watching. These abstractions cover core, admin, and API modules, ensuring modular, reliable, and scalable infrastructure extension.

This skill provides a comprehensive framework for customizing and managing AWS cloud infrastructure using Pulumi handlers and declarative components. Developers can configure regions, apply resource tags, manage OpenSearch, set up VPC networks, deploy custom domains, and implement advanced blue-green deployment strategies. It fully supports environment-conditional configuration, ensuring robust infrastructure deployment across dev, staging, and production environments.

A comprehensive guide for deploying, developing, and debugging Webiny serverless applications locally. Covers deployment using `yarn webiny deploy`, local watching for API and Admin components, managing various environments (dev, staging, prod), and troubleshooting infrastructure errors on AWS.

This guide details the standard project layout for Webiny applications. It explains the critical role of `webiny.config.tsx` as the single, central configuration point for registering all custom extensions. It covers various extension types, including API endpoints, Admin UI components, Infrastructure configuration (AWS), and CLI commands, helping developers understand where and how to integrate custom code.

This skill generates complete, publication-ready, and SEO-optimized blog posts for WordPress. It enforces professional structure, factual rigor, and comprehensive SEO elements like Yoast metadata and JSON-LD schema, along with image SEO planning. It is ideal for content strategists and copywriters needing high-quality, engaging, and searchable articles.

This tool allows users to execute complex, multi-agent workflows defined in YAML format directly within the AI environment. It functions as an orchestration engine, sequentially invoking various specialized roles (agents) without requiring manual API key configuration. Ideal for structured tasks requiring collaboration between multiple personas.

This comprehensive guide provides structured troubleshooting and error handling advice for developers integrating with the Workhuman Social Recognition and Rewards APIs. It covers critical API concepts, including OAuth 2.0 authentication, managing point-based nominations, and synchronizing data with major HRIS systems like Workday and SAP SuccessFactors. Use this resource when building complex HR workflows or integrating Workhuman into platforms like Slack or Teams.

This skill provides a comprehensive, structured process for creating and documenting new AI agent skills. It guides the user through gathering requirements, drafting structured files (like SKILL.md, REFERENCE.md), and optimizing descriptions to ensure the agent can correctly identify and utilize the new capability. Use when you need to build, write, or refine a complex, functional skill module for an AI agent.

This professional writing assistant specializes in creating clear, compelling, and highly structured documentation for Product Managers (PMs). It helps users draft, refine, and polish various deliverables—including product briefs, status updates, and executive emails—by adhering to best practices like leading with conclusions, maintaining extreme conciseness, and tailoring the tone to the specific audience (e.g., engineering team vs. executive leadership).

This skill generates detailed implementation plans for multi-step tasks based on specifications before coding begins. It defines file structures, task granularity, and step-by-step instructions (TDD approach) to ensure clarity and testability. It includes self-check mechanisms and execution handoff options for AI agents or developers.

This skill provides a comprehensive, paragraph-level structural blueprint for writing top-tier systems conference papers (e.g., OSDI, SOSP, ASPLOS). It meticulously outlines page allocation, section-specific templates (like the 5-sentence abstract or Problem-Gap-Insight structure), and rigorous writing patterns (Gap Analysis, Observation-Driven) required for industry-leading academic submissions.