Skill UI

This skill automates the validation of Navan API integrations within CI/CD pipelines. It generates robust GitHub Actions workflows to perform comprehensive tests, including token health checks, booking data schema validation, and automated compliance report generation. By integrating these checks into your push/pull request process, it ensures the stability and adherence of your Navan connection without requiring a dedicated SDK.

This wrapper integrates Shopify's official AI Toolkit MCP server with Claude Code. It provides essential developer capabilities, including real-time GraphQL schema validation, Liquid template linting (checking for deprecated filters and anti-patterns), and instant search across Shopify's extensive documentation. Use this skill when setting up complex Shopify MCP integrations, ensuring code quality, or debugging API calls.

This guide covers essential security best practices for utilizing Together AI's OpenAI-compatible API for inference, fine-tuning, and model deployment. It provides code examples and architectural advice on secure API key management, robust webhook signature verification, input validation using schemas (like Zod), and implementing data redaction pipelines to protect sensitive information in logs and datasets. Essential for building secure AI applications.

A comprehensive guide to setting up continuous integration and continuous deployment (CI/CD) pipelines for Webflow Data API v2 integrations using GitHub Actions. This setup automates unit testing (mocked SDK), robust integration testing with real API tokens, CMS schema validation, and reliable publish-on-merge workflows, ensuring code quality and consistency in your Webflow projects.

A comprehensive solution for migrating large volumes of content into Webflow CMS. This deep dive guide facilitates data transfer from diverse source formats—including WordPress, Contentful, Strapi, CSV, and JSON—using the Webflow Data API v2. It covers essential steps like target schema assessment, data transformation, bulk importing (100 items/batch), and robust data validation, making large-scale platform replatforming manageable.

A comprehensive guide to implementing schema.org structured data using JSON-LD format. Learn to correctly identify page types (Product, Article, Organization, FAQPage) and apply the necessary schema markup to help search engines understand content context. This skill covers initial assessment, core principles (accuracy, validation), and optimizing for rich results like star ratings, site search blocks, and rich snippets, significantly boosting search engine visibility and CTR.

This comprehensive guide provides expert knowledge on implementing structured data and schema markup using schema.org standards. Learn how to correctly use JSON-LD to help search engines understand your content, enabling rich results like star ratings, FAQs, and product details. It covers best practices, common schema types (Article, Product, FAQPage), and essential validation methods for maximizing search visibility.

An internal utility designed for deep analysis of Python tracebacks. It performs Python-specific root-cause checks, provides guidance for minimal reproducible examples using pytest, and identifies precise targets for implementing defensive coding practices (like guard clauses or schema validation). Ideal for advanced debugging scenarios.

This skill enforces a rigorous data validation protocol by establishing hard boundaries at every point data enters the system (API requests, user input, environment variables, webhooks, etc.). It mandates a four-phase process: detection, trust classification, mandatory filtering (schema validation, sanitization, type checking), and final verification. This prevents untrusted data from reaching core business logic, mitigating risks like SQL injection and XSS.

This comprehensive skill demonstrates advanced usage patterns for Formik, a popular React form handling library. It covers basic form setup, complex validation schema creation using Yup (including conditional logic), field helper utilities, and integrating form submissions with GraphQL mutations for both creation and editing scenarios.

officecli is a robust, dependency-free CLI tool designed for working with Microsoft Office formats (.docx, .xlsx, .pptx). It allows users to programmatically create, analyze, modify, and extract structured data from complex documents, enabling advanced content manipulation, schema validation, and automated workflows entirely from the command line.