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.

Configure secure and isolated Webflow integrations across development, staging, and production environments. This guide details how to manage separate API tokens, Site IDs, and secure secrets using industry-standard secret managers like HashiCorp Vault, AWS Secrets Manager, and GCP Secret Manager, ensuring data integrity and reliable deployment in a CI/CD pipeline.

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.

Provides a comprehensive checklist and technical guidelines for safely deploying Webflow Data API integrations to a production environment. Covers critical areas like token security, rate limit management, implementing circuit breakers, setting up health checks, and handling various API errors to ensure reliable, high-availability service.

Provides a comprehensive, layered reference architecture for building production-grade integrations with Webflow's Data API v2. This guide separates concerns into distinct layers: API access, business logic (CMS, e-commerce), webhook handling, and caching, ensuring scalability and maintainability for complex web applications.

A comprehensive pre-production audit tool that scans a codebase for critical issues across eight dimensions: security, database, deployment, code quality, AI/LLM usage, dependencies, frontend, and observability. It intercepts deployment commands, forcing users to resolve critical failures before shipping code. The audit is stack-agnostic and provides detailed pass/fail/manual reports.

This guide outlines architectural patterns and best practices for building scalable, production-ready APIs with FastAPI. It covers proper project structure, separating concerns using routers, services, and CRUD layers, implementing dependency injection for database sessions and authentication, defining Pydantic schemas for request/response, handling asynchronous operations, and managing custom error responses.

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.

This skill guides the design of robust, production-grade data extraction pipelines, moving beyond brittle one-off scripts. It supports three modes: API-driven web scraping (Firecrawl), traditional local Python extraction (PDF, CSV), and hybrid workflows. Key features include intelligent routing, mandatory data validation, secure key management, and adherence to scraping best practices.

A comprehensive, multi-phase quality assurance tool designed for Next.js fullstack applications. It verifies production readiness by checking code integrity, build success, SEO metadata, API authentication, route stability, performance, and security vulnerabilities. Use it as a mandatory pre-deployment checklist before promoting an app to production.