Skill UI

This skill provides comprehensive reference architectures for integrating Lindy AI agents into production applications. It covers various complex patterns, including simple webhook callbacks, sophisticated event-driven pipelines, multi-agent delegation systems, scheduled workflows, and RAG-powered customer chat interfaces. Essential for designing and building robust, scalable, and reliable AI-powered systems.

This skill provides comprehensive patterns for integrating external applications with the Lindy AI platform. It covers three primary channels: Webhook triggers for receiving inbound data, HTTP actions for making outbound API calls, and executing custom Python/JavaScript code (Run Code). Use this when building complex, multi-step automation workflows or connecting internal systems to Lindy agents.

Comprehensive skill for configuring advanced Lindy AI integration using webhooks. This covers three key patterns: Inbound webhooks (external systems triggering Lindy), Outbound requests (Lindy calling external APIs), and two-way Callback mechanisms for asynchronous communication. Use this skill when building complex, event-driven workflows that require reliable, real-time data exchange between your applications and the AI agent.

A comprehensive solution to integrate Linear project management with GitHub Actions CI/CD pipelines. This skill enables automating development workflows by running integration tests, automatically linking Pull Requests (PRs) to issues, transitioning issue states based on PR events, and creating new Linear issues directly from build failures. Ideal for ensuring development quality and maintaining up-to-date project tracking.

This skill provides a comprehensive command-line interface (CLI) for managing the entire lifecycle of projects, issues, and teams within the Linear product management platform. Users can create, update, list, and change the status of issues and entire projects, ensuring proper traceability and organized development cycles. It supports direct integration using Linear CLI commands for robust workflow automation.

This guide details how to use the official @linear/sdk to interact with the Linear project management API. It covers performing core CRUD operations, such as creating new issues, listing teams, querying issue states, and performing raw GraphQL requests. Ideal for developers needing to integrate Linear into a custom workflow, test API connectivity, or learn foundational automation patterns.

A comprehensive guide for installing and configuring the Linear SDK for TypeScript/JavaScript. It details two primary authentication methods: using a personal API key for scripts and server-side tools, and implementing the full OAuth 2.0 flow (including PKCE and token refreshing) for user-facing applications. Essential for integrating Linear functionality into custom software.

This guide provides a comprehensive workflow for setting up a local development environment for Linear integrations. It covers project scaffolding, environment configuration, connection verification using the official SDK, robust integration testing with Vitest, and simulating webhooks using ngrok. Essential for developers building and testing SaaS connections with Linear.

Automate Linguapop workflows by orchestrating Composio tools through Rube MCP; always search tools first, verify connection status, and execute via multi-tool calls so schemas stay current.

Guide to automating Linkhut operations through Composio’s toolkit via Rube MCP, covering discovery of current tool schemas, connection validation, multi-tool execution patterns, memory/session handling, and pagination-aware workflows.

Automate Linkup operations through Composio's Linkup toolkit by orchestrating Rube MCP calls (search tools, manage connections, execute multi-tool workflows) while strictly following schema discovery, connection validation, memory handling, and pagination guidance.

This skill enforces mandatory code quality assurance by executing industry-standard validation tools before any code is considered complete or committed. It covers linting (style and syntax checking), type checking (for TypeScript and Python), and security auditing (e.g., npm audit, bandit). It ensures developers maintain a high standard of code reliability across diverse ecosystems like Node.js and Python.