Skill UI

Automates frontend lazy-loading workflows by guiding best practices, generating React/Vue-ready code, and validating production configurations for accessible, high-performance web apps.

A comprehensive diagnostic toolkit designed for advanced troubleshooting of Lindy AI agents. This bundle systematically collects environment information (OS, Python, Node.js), tests API connectivity for webhooks and major integrations (Slack, Notion, Gmail), reviews task history, and guides the user in generating a full, structured support ticket for technical support.

This guide demonstrates the basic workflow for building an AI agent using a webhook trigger. The agent receives structured data (payload), utilizes an LLM to extract key information and generate a concise summary (summarization step), and finally executes an action by posting the summary to Slack or sending an email. Ideal for beginners learning about AI agent architecture, testing data flow, and implementing simple automated system notifications.

Automates the setup and best practices for linear issue generation within enterprise workflows, offering guidance, production-ready code, and validation for governance, compliance, and integration tasks.

An expert guide and framework for building production-grade, sophisticated AI agent systems. This skill specializes in utilizing the latest LangChain 0.1+ and LangGraph APIs to implement multi-agent orchestration, advanced Retrieval-Augmented Generation (RAG) pipelines (e.g., RAG Fusion, HyDE), and complex state management. It covers comprehensive topics from architectural design (Plan-and-Execute, ReAct Agents) to production deployment (FastAPI streaming, LangSmith observability, caching, and robust error handling).

Automates load test scenario planning by guiding through best practices, generating production-ready configurations, and validating load, stress, benchmarking and performance monitoring activities.

Locust Test Creator automates performance-testing guidance, best-practice verification, and ready-to-run code/config generation whenever you request locust-specific load, stress, benchmark, or monitoring scenarios.

This skill provides comprehensive handling for Lokalise translation data, covering the entire localization lifecycle. It facilitates creating keys with rich metadata, managing versions using immutable snapshots, isolating work with feature branches, and generating various export formats (JSON, XLIFF). It is essential for handling sensitive translation data, ensuring PII compliance, and managing scalable internationalization within development pipelines.

This guide provides a comprehensive walkthrough for integrating Lokalise into any project. It covers installing the Node.js SDK (@lokalise/node-api) and the local command-line interface (lokalise2). Crucially, it details the process of generating, setting, and verifying API tokens or OAuth credentials, ensuring secure and functional communication with the Lokalise platform. Use this when setting up a new localization integration or refreshing existing credentials.

This guide provides a comprehensive local development environment setup for Internationalization (i18n) using Lokalise. It details configuring the project structure, implementing CLI scripts for synchronizing source strings (push) and translations (pull), setting up file watching for hot reloading, and generating mock translations for robust offline testing. Ideal for developers managing multi-language applications.

Automates Luigi task generation for data pipelines, offering guided best practices, code and configuration outputs, and validation to streamline ETL, transformation, orchestration, and streaming workflows.

This SDK provides comprehensive tools for developing enterprise-grade, multi-channel agents for the Microsoft 365 ecosystem. Utilizing ASP.NET Core hosting, it supports integration with Teams, Copilot Studio, and general M365 services. Key features include robust agent application routing, structured state management, and secure authentication using MSAL.