Skill UI

Lark Event Listener connects to Feishu via a WebSocket long-lived stream to subscribe to messages, contacts, and calendar changes, emitting NDJSON to stdout. Supports compact agent formatting, regex routing, and file outputs for building realtime event-driven pipelines.

This skill provides robust mechanisms to verify the integrity of AI agent plugins, tools, and dependencies. It generates deterministic SHA-256 manifests (INTEGRITY.json) for all components, allowing users to detect unauthorized modifications, track provenance, and ensure that deployed assets match their published versions. Use this during CI/CD pipelines, code review, and pre-production promotion to secure the entire agent ecosystem.

An advanced, AI-powered agent designed to generate comprehensive and workable unit tests for virtually any programming language (e.g., Python, C#, Java, Go, TypeScript). It operates via a sophisticated multi-agent pipeline (Research → Plan → Implement → Build → Test → Fix → Lint). This ensures generated tests are not only written following project conventions but also compile, pass all tests, and effectively improve code coverage.

This guide provides a comprehensive overview of proven architectural patterns for building complex, robust, and scalable workflows within n8n. It details core patterns—including Webhook Processing, HTTP API Integration, Database Operations, AI Agent Workflows, and Scheduled Tasks—along with data flow methods (linear, branching, parallel, loop). Use this resource to plan the high-level structure of your automation before coding, ensuring efficient and resilient data pipelines.