Skill UI

A production-ready Python SDK providing comprehensive patterns for integrating with the Kling AI API. This wrapper handles crucial operational complexities such as auto-refreshing JWT tokens, structured request/response models, exponential backoff polling for long-running tasks, and detailed error handling. Use this library when building stable, high-reliability applications that require advanced text-to-video or image-to-video synthesis capabilities.

A minimal example demonstrating how to implement basic tracing using the Langfuse SDK. It illustrates the hierarchy of traces, spans, and generations (LLM calls), providing code examples in TypeScript and Python for easy setup and integration testing.

This skill provides comprehensive patterns for creating, maintaining, and validating OpenAPI 3.1 specifications for RESTful APIs. Use it for design-first API contract definition, generating specs from existing code, creating detailed API documentation, validating implementation conformance against the contract, and generating client SDKs. It ensures consistency across the entire API lifecycle.

This skill provides production-ready patterns for integrating with the Perplexity Sonar API in both TypeScript and Python. It covers best practices for creating robust wrappers around the standard OpenAI client, including dedicated handling for citations, search results, and related questions. It also includes essential utilities like implementing exponential backoff for reliable retries. Use this when setting up complex search-augmented generation workflows or standardizing team coding practices around Perplexity usage.

This comprehensive guide assists developers in migrating their code and API calls when Perplexity updates its model generations or changes API parameters. It provides a clear map from legacy models (pplx-api) to the current Sonar family (sonar, sonar-pro), covering model name changes, base URL updates, parameter adjustments, and SDK upgrade steps. Use this guide whenever you encounter deprecation warnings or need to ensure compatibility with the latest Perplexity Sonar models.

Auto-activating API Integration skill that guides response transformer work, covering common patterns, third-party APIs, webhooks, SDK generation, and delivers best-practice code plus validation advice.

Automates guidance for designing and deploying webhook senders, covering integration patterns, SDK generation, and production-ready configurations.

This skill enables AI-assisted API development workflows. It can generate type-safe API clients, comprehensive documentation, and SDKs for multiple languages (such as Python or TypeScript) directly from OpenAPI/Swagger specifications. It is essential for developers building complex integrations or needing to standardize API usage across multiple platforms.

An expert guide for developing production-grade AI applications, chatbots, and generative UIs using the Vercel AI SDK, Next.js, and React. Covers core concepts including streaming text (`streamText`), managing chat state (`useChat`), implementing complex tool/function calling, and ensuring robust structured data generation (JSON schemas) across multiple LLM providers.

This guide provides comprehensive troubleshooting for common issues encountered when converting Figma designs to code using the Anima SDK. It covers authentication failures (Figma/Anima tokens), specific node/file lookup errors, code rate limits, and output quality problems, helping developers ensure accurate and robust code generation.

This utility generates a comprehensive JSON debug bundle for troubleshooting and support requests related to the Anima SDK. It collects vital information, including environment details, Figma API connectivity status, and verifies the Anima SDK generation capabilities. Use it when filing support tickets or debugging code generation issues.

Leverages the Anima SDK to convert visual designs from Figma into production-ready code across multiple modern frameworks (React, Vue, HTML). It supports clean TypeScript integration and Tailwind CSS styling, making it ideal for developers building automated design-to-code pipelines or rapidly prototyping complex UI components directly from design mockups.