Skill UI

This SDK provides production-ready TypeScript patterns for integrating with the AppFolio property management REST API. It includes a singleton client for centralized credential management, robust error wrappers (handling 429 rate limits and 401 auth errors), a flexible query builder for filtering data, and structured interfaces for core entities like Properties, Tenants, and Leases. Use it to build reliable, scalable automation workflows for real estate operations.

This skill provides comprehensive guides for deploying stateless, serverless API wrappers powered by Claude (Anthropic). It details how to integrate and stream responses from the Messages API across major cloud environments, including Vercel Edge Functions, Fly.io, and Google Cloud Run. It is essential for productionizing AI applications that require robust secret management, scalable infrastructure, and real-time streaming capabilities.

This guide provides production-ready patterns for interacting with the Flexport REST API v2 in TypeScript and Python. It teaches crucial best practices, including implementing a singleton client for state management, handling paginated data streams, automatic retry logic, and using Zod for robust response validation, ensuring reliable logistics integrations.

A comprehensive guide to production-ready, robust coding patterns for Framer development. This resource covers key areas including type-safe CMS interactions, plugin state management hooks, reusable component architectures, and server API wrappers. Use this when refactoring existing SDK usage or establishing scalable coding standards for complex Framer integrations.

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 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.

A comprehensive guide to ensuring robust state management for LangGraph agents. This skill addresses common checkpointing pitfalls (like missing thread_id or non-JSON serializable state) and details best practices for implementing reliable state persistence using MemorySaver or PostgresSaver. It covers thread discipline, schema migration, and time-travel debugging for production-ready applications.

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.

A comprehensive checklist for deploying Miro REST API v2 integrations into a production environment. This guide covers critical best practices including OAuth scope minimization, robust error handling, rate limit management, implementing circuit breakers, health checking, and defining clear rollback procedures. Use this when moving any Miro-integrated application to a live, customer-facing state.

A comprehensive guide to launching, listing, and managing Oracle Cloud Infrastructure (OCI) compute instances using Python. This guide specifically addresses the common 'Out of host capacity' error when using Always Free ARM shapes, implementing a robust retry loop to ensure successful deployment. Users can learn the full lifecycle management, from initial connection setup to instance state polling.

This guide provides comprehensive solutions for common API errors encountered when integrating with Persona for identity verification (KYC). It covers critical issues including 401 unauthorized keys, 422 invalid templates, webhook signature mismatches, rate limit handling (429), and state management conflicts. Use this resource when debugging or optimizing automated identity validation workflows.