Skill UI

This guide provides a comprehensive workflow for deploying applications powered by HubSpot to major cloud platforms, including Vercel, Fly.io, and Google Cloud Run. It covers best practices for secret management (like API tokens), setting up environment variables, and implementing robust health check endpoints to ensure continuous operation in production environments.

This comprehensive guide covers the installation and authentication setup for the HubSpot API client SDK. It provides detailed instructions for both Private App Access Tokens and the full OAuth 2.0 flow. Use this skill when developing integrations that require secure access to HubSpot CRM data, such as contacts, companies, and deals.

A comprehensive guide to setting up a robust and fast local development workflow for HubSpot integrations. This setup includes creating a client singleton, configuring unit and integration tests, and implementing API mocking utilities (using Vitest) to ensure development can proceed efficiently without relying on live HubSpot API calls or requiring excessive sandbox usage. Perfect for building reliable, scalable CRM connectors.

This elite skill acts as an art director and implementation strategist for modern web development. It mandates an 'Image-First' workflow: first generating high-fidelity, premium design images for specific sections (e.g., hero, product features), deeply analyzing these visual references, and only then translating them into clean, structured, and highly implementable frontend code. It is designed to avoid generic AI clichés, ensuring results that are aesthetically superior, structurally sound, and ready for professional deployment.

A senior-level tool for performing deep-dive technical SEO audits and site architecture mapping. It analyzes crawl health, indexing blocks, sitemap integrity, and structural issues (like canonicalization, link flow, and crawl budget waste). Use this to diagnose complex Google Search Console errors and propose a full, engineered roadmap for website stabilization and optimization.

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.

A comprehensive guide for developers to set up and authenticate with the Intercom API. It covers installing the official `intercom-client` SDK and configuring secure credentials using both private Access Tokens and robust OAuth flows, enabling seamless integration into modern applications.

A comprehensive guide to setting up a robust and efficient local development environment for Intercom integrations. This workflow emphasizes test isolation, utilizing mock clients (e.g., vitest) for reliable unit testing, proper environment variable management, and simulating real-world interactions via webhook tunneling (ngrok). It ensures fast iteration cycles when developing SaaS features against the Intercom API.

This skill orchestrates the entire development lifecycle for approved software tasks. It operates in autonomous or manual modes, rigorously applying Test-Driven Development (TDD). It automatically gathers all necessary context (specs, requirements, design, and historical learnings), validates the repository state, and dispatches specialized sub-agents to implement tasks one by one, ensuring high code quality, adherence to design, and process traceability.

This guide provides advanced patterns for composing robust, multi-step Large Language Model (LLM) workflows using LangChain 1.0 core runnables. Learn to implement parallel retrievals (RunnableParallel), conditional routing (RunnableBranch), and state management. It also addresses common pitfalls like silent KeyErrors due to mismatched dictionary shapes, providing solutions using debug probes and type annotations for reliable RAG, classification, and extraction pipelines.

This guide teaches how to build robust, production-grade ReAct agents using LangGraph 1.0's `create_react_agent`. It specifically addresses common agent failure modes, such as preventing infinite loops (recursion caps) and ensuring proper error propagation. Learn to define typed tools using Pydantic, manage state with checkpointers, and set precise recursion limits. Perfect for users migrating from legacy AgentExecutor or building reliable, multi-step tool-calling workflows.

This skill provides a comprehensive guide to building robust LangGraph 1.0 StateGraphs in Python. It covers defining typed TypedDict states with reducers, writing deterministic nodes, and defensively wiring conditional edges. It addresses common pitfalls such as silent graph termination, incorrect state updates using reducers, proper management of recursion limits, and handling evolving checkpoint schemas for reliable LLM workflow orchestration.