Skill UI

This tool executes the core Webflow workflow by managing CMS collections and items through the Data API v2. It enables the full CRUD lifecycle—create, read, update, delete, and publish dynamic content like blog posts, team profiles, or product listings programmatically. Use this when integrating with Webflow CMS to automate content management and publishing tasks.

This skill provides comprehensive API access to manage all aspects of a Webflow project. It covers site operations (publishing, listing), page metadata (SEO, Open Graph), handling form submissions, and full e-commerce functionality (products, SKUs, inventory, orders). Use this when automating site deployments, extracting form data, or managing product catalogs programmatically via the Data API v2.

This script provides a minimal working example for interacting with the Webflow Data API v2. It demonstrates the core operations, including listing sites, reading CMS collections, fetching existing CMS items (draft/live), and creating new content. Use this guide when starting a new Webflow integration or testing your basic API setup.

This API provides a comprehensive set of abstractions and use cases for handling scheduled actions within an application. It covers functionalities such as scheduling, canceling, listing, and executing actions at predefined intervals or specific future times. Ideal for building robust automated workflows and managing background processes.

The official SDK for integrating external applications (Next.js, Vue, Node.js) with Webiny's Headless CMS and File Manager. It provides type-safe methods for listing, retrieving, creating, updating, and publishing CMS entries, supporting advanced filtering, sorting, and preview mode control. Essential for developers building content-driven websites.

A utility for managing and installing specialized AI skills into the Codex environment. It supports fetching curated skills from predefined sources (like openai/skills) or installing custom capabilities directly from any GitHub repository, including private ones. It handles listing available skills, installing specific modules, and provides robust fallback methods (download/git sparse checkout).

This skill provides a demonstration of interacting with external APIs and services using various command-line tools (CLI). It showcases core automation patterns, including fetching API documentation details and listing messages using specific application CLIs, making it ideal for testing and learning API integration flows.

A comprehensive skill for preparing all metadata and visual assets required for App Store and Google Play listings. This guide covers strict character limits for copy (name, description, keywords) and exact pixel/format specifications for assets (icons, screenshots, feature graphics). It ensures the app listing is polished, compliant, and ready for submission across multiple platforms.

GateGuard is a mandatory pre-tool-use hook designed to significantly enhance the reliability and safety of LLM-generated code and actions. Instead of relying on self-evaluation, it forces the model to perform concrete, verifiable investigations—such as listing all imported files, checking data schemas, or detailing rollback procedures—before any write or destructive command execution. It establishes a three-stage gate (Deny, Force, Allow) to prevent hallucination and ensure context awareness in complex coding environments.

This tool simplifies the process of detecting structural drift by combining audit listing, fresh auditing, and trend diffing into a single command. It finds the most recent audit record, runs a current audit against the repository, and compares the two using structural similarity metrics. It alerts when the structural distance falls below a specified threshold, helping maintain code consistency over time.

This guide teaches advanced techniques for writing literature reviews in top-tier economics journals. The core principle is moving beyond simply listing past work; instead, you must precisely position your contribution by defining the delta (difference) relative to specific, foundational academic papers. Learn to articulate your unique value by highlighting improved identification strategies, clearer mechanisms, or novel parameters.

This guide provides rigorous standards for crafting academic literature reviews, particularly for specialized journals in economics. It instructs authors to move beyond simple citation listing and instead structure the review around identified research gaps. The required structure emphasizes a clear progression from 'Current Status' to 'Deficiencies' and finally to 'Novel Positioning,' ensuring the paper's marginal contribution is clearly derived from a knowledge gap.