
π―Skills15
Debugging guide for n8n workflows that identifies common failure causes: parameter misconfiguration, stale assumptions, path misconnections, and upstream data stripping.
Provides guidance for working with n8n's built-in Data Tables, covering schema design, CRUD operations, deduplication, idempotency tracking, and relational data patterns for persistent workflow state.
Guides the complete n8n workflow lifecycle through six stages: Plan, Build, Validate, Test, Publish, and Handoff, enforcing visual layout conventions, sticky notes, descriptions, and production readiness checks.
An official n8n skill that teaches AI agents how to write n8n expressions correctly, covering $json, $node, and {{}} syntax patterns, paired with n8n's MCP server for building and editing workflows right the first time.
Guides AI agents on designing reusable sub-workflows in n8n, covering multi-step builds, modular workflow composition, and best practices for workflow reuse through the n8n MCP server.
An official n8n skill that guides AI agents on implementing error handling in n8n workflows, covering error triggers, try/catch patterns, retry logic, and graceful failure management.
Meta-skill that routes AI agents to the correct n8n capability skill for any workflow task. Covers 15 capability areas including sub-workflows, expressions, loops, AI agents, error handling, credentials, and debugging, with 50+ reference docs and worked examples.
Part of the official n8n skills collection that guides AI agents in using Code nodes for custom logic within n8n workflows. Covers when to use Code nodes versus built-in nodes, with best practices for writing inline JavaScript/TypeScript in workflow automation.
Guides AI coding agents through n8n credential management, authentication setup, API key handling, and security best practices when building workflows with the n8n MCP server.
An official n8n skill that guides AI agents on implementing loops, batching, and paginated API calls in n8n workflows, ensuring correct iteration patterns and data handling.
Guides handling files, images, attachments, and binary data in n8n workflows, covering the $binary/$json split, agent tool file boundary limitations, storage pre-staging patterns, and display contexts.
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Part of the official n8n skills collection that teaches AI agents how to wire IF/Switch/Merge nodes and handle multi-input/output connections in n8n workflows. Ensures agents correctly route data between branches when building conditional and parallel logic.