Skill UI

This comprehensive guide teaches developers how to interact with Claude AI using the official Anthropic SDK. It provides step-by-step instructions on basic message creation, implementing system prompts, and managing multi-turn conversation flows via the Messages API. Ideal for setting up a new Claude integration or testing core API functionality.

This skill provides comprehensive programmatic management of the Intercom conversation lifecycle. It allows users to create, reply (as admin or contact), assign, tag, close, and snooze support conversations. It is essential for developers building robust customer support automation, integrating CRM systems, or implementing advanced workflow management features.

This comprehensive 'Hello World' script provides a hands-on guide for integrating with the Intercom API. It demonstrates the creation, searching, and management of core entities like Contacts, Conversations, and Messages. Ideal for developers starting a new Intercom integration, testing basic functionalities, or understanding the foundational Intercom data model using TypeScript.

This comprehensive guide provides a production-ready, layered architecture pattern for integrating external systems with Intercom. It covers service management (Contacts, Conversations), webhook processing, contact syncing (CRM), and robust client handling, ensuring type safety and scalability. Use this when designing new, complex Intercom integrations or reviewing existing project structures.

A comprehensive guide for developers migrating the intercom-client npm package, particularly addressing major version jumps (e.g., v5 to v6) and associated breaking changes. Learn how to update client initialization, modify contact and conversation operations, and handle API version pinning using TypeScript and modern asynchronous patterns.

A comprehensive guide for handling incoming Intercom webhooks, including robust HMAC-SHA1 signature verification. It details processing different notification topics (e.g., contact creation, conversation updates) and implementing idempotent logic using Redis to prevent duplicate event processing. Ideal for integrating Intercom data into a backend system or CRM.

This skill facilitates an interactive Quality Assurance (QA) session. Users can conversationally describe encountered bugs or issues. The agent clarifies the problem, explores the codebase for context and domain language, and then meticulously files durable GitHub issues. It supports both single-issue reports and breaking down complex problems into multiple, independently verifiable tickets, ensuring developers receive actionable, high-quality reports written from the user's perspective.

This tool extracts and formalizes the core business terminology (Ubiquitous Language) from a conversational context. It generates a structured glossary, identifies ambiguities, resolves conflicting terms, and proposes canonical names. It is essential for building consistent and unambiguous domain models, particularly when following Domain-Driven Design (DDD).

This advanced tool surfaces critical, often unrecorded, evidence of human-AI collaboration during development sessions. It analyzes git diffs and conversational context across multiple layers to classify the signal level (HIGH/MEDIUM/LOW), measure technical complexity, detect decision forks, and quantify the specific contribution of the AI model, providing structured data for post-session retrospectives and accountability.

This skill enforces a high standard for all generated code, prioritizing correctness, clarity, and idiomatic patterns across all languages. It helps minimize code bloat by removing unnecessary abstractions and verbose patterns, while also optimizing the agent's output by using targeted diffs and eliminating excessive conversational overhead. Use this for all code generation, refactoring, or review tasks.