Skill UI

This comprehensive guide details the full plugin architecture for extending Claude Code. Learn how to build various extension points, including auto-activating skills, slash commands, specialized agents, and Model Context Protocol (MCP) servers. It serves as the definitive reference for integrating custom tools and workflows into the Claude ecosystem.

Configure comprehensive CI/CD pipelines for integrating Grammarly's text analysis into your development workflow. This setup uses GitHub Actions to run unit and integration tests on pull requests, validating API connectivity, enforcing content quality gates (e.g., minimum grammar scores), and ensuring documentation quality before merging to the main branch.

Skills this deployment guide covers building, configuring, and deploying a containerized Grammarly writing assistant service. It provides detailed instructions for production setup, including Docker configuration, environment variable management (for OAuth credentials), health checks, and zero-downtime rolling updates when integrating Grammarly's Text API for grammar, clarity, and tone checking.

This comprehensive checklist guides developers through the necessary steps to deploy a robust and reliable Grammarly API integration in a production environment. It covers critical aspects such as secure credential storage, rate limit handling, implementing text chunking, designing error resilience patterns (circuit breakers, retries), and establishing comprehensive monitoring and alerting systems to ensure high content quality and system uptime.

This guide provides production-ready patterns for integrating with the Grammarly API using both TypeScript and Python. It covers essential architectural aspects, including typed client implementation, robust token management (OAuth flow), and efficient text chunking for processing large documents. Use this when building scalable, reliable Grammarly-powered features into your application.

This script provides a minimal, working example using the Node.js SDK to interact with the Klaviyo API. It demonstrates core capabilities: creating or updating user profiles, tracking custom events associated with those profiles, and querying profile data. This is ideal for initial integration setup, testing basic API connectivity, or learning the foundational patterns of profile management and event tracking in an e-commerce marketing context.

A comprehensive guide for diagnosing and fixing common errors encountered when integrating with the Anthropic API (Claude). It covers critical issues such as authentication failures (401), rate limiting (429), server overload (529), invalid requests, and context window limits. Includes practical code solutions and best practices for robust API integration.

This skill provides a comprehensive guide to optimizing costs when using AssemblyAI for speech-to-text transcription. It details model selection (Best vs. Nano), guides feature budgeting (e.g., Diarization, Sentiment Analysis), and includes code examples for cost estimation and usage tracking. Use this when managing billing, reducing operational expenses, or implementing budget alerts for high-volume audio processing.

A comprehensive, production-ready reference architecture for building robust, scalable transcription services using AssemblyAI. This guide demonstrates best practices for layered system design, covering API endpoints, service logic, client management, and infrastructure integration (webhooks, database). It is ideal for designing new high-throughput speech-to-text applications.

Execute comprehensive document workflows using Adobe PDF Services API. This skill allows you to convert content (HTML/DOCX) into PDFs, extract structured text and tables from existing PDFs using Sensei AI, generate dynamic documents from Word templates, and convert PDFs to Markdown. Ideal for building robust document automation pipelines and advanced content extraction solutions.

A comprehensive guide detailing how to upgrade Anthropic SDKs (Python/TypeScript) and manage API version transitions. Learn to migrate from Text Completions to the Messages API, incorporate new features like tool use, and handle common breaking changes across major SDK versions.

This guide demonstrates how to set up robust Continuous Integration/Continuous Deployment (CI/CD) pipelines for projects utilizing AssemblyAI's speech-to-text services. It provides detailed GitHub Actions workflows for running both mocked unit tests (free and fast) and live, cost-controlled integration tests. Learn how to safely manage API keys and ensure transcription stability in your automated build process.