Skill UI

This workflow manages critical logistics documentation via the Flexport API, including creating commercial invoices for customs clearance, maintaining detailed product catalogs (SKUs, HS codes, costs), and retrieving freight invoices. It is essential for integrating customs documentation, product data management, and billing reconciliation into your supply chain systems.

Manages the complete lifecycle of GitHub issues using a structured, label-based state machine. This skill assists maintainers in triaging incoming reports, determining if an issue is a bug or enhancement, and moving it through defined states (e.g., needs info, ready for agent, wontfix). It ensures systematic workflow management for development projects.

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 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 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 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 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.

This skill provides programmatic access to manage the entire lifecycle of a Linktree profile and its associated links via the REST API. Users can retrieve profile metadata, create new links (with positioning and thumbnails), update link properties, and list all links. It is ideal for building integrations that automate content management, such as syncing product launches, rotating seasonal promotions, or bulk-importing link data from external sources.

Provides a local development workflow for integrating with the Linktree link-in-bio API. This tool allows developers to build and rapidly iterate on social management tools by mocking API responses for profile data and analytics. Users can toggle between mock mode for quick UI prototyping and live mode for validating profile updates against the real Linktree platform, ensuring a robust and efficient development cycle.

This skill provides a comprehensive workflow for managing Lucidchart documents and diagrams using the REST API. Users can programmatically execute the full lifecycle: creating new documents, adding complex shapes and connectors via the Standard Import format, modifying existing content, and exporting the final diagram into high-resolution formats like PNG, PDF, or SVG. Ideal for automated diagram generation and content lifecycle management.

A tool designed for persistent context management within AI coding sessions. Memory Kit solves the problem of context loss that occurs during compaction or session restarts by saving, loading, updating, and sharing critical session state to a dedicated `MEMORY.md` file. Key functions include creating snapshots of goals and decisions, syncing context across team members via Git, and auditing/pruning stale entries, ensuring continuous workflow and knowledge retention.

This skill provides comprehensive programmatic access to the Navan travel booking platform via REST API. It manages the entire trip lifecycle, including OAuth authentication, retrieving user and admin bookings, filtering by date/status, and handling pagination. Ideal for automating trip reporting, syncing data to internal systems, or building advanced travel dashboards.