Hello every one call me Perez

This repository helps claude code create n8n workflows. it is free and open source. here is the description from the project. Let us know i you try it and how you are getting AI to help write your n8n automations https://github.com/czlonkowski/n8n-skills/ This repository contains 5 complementary Claude Code skills that teach AI assistants how to build production-ready n8n workflows using the n8n-mcp MCP server. Why These Skills Exist Building n8n workflows programmatically can be challenging. Common issues include: - Using MCP tools incorrectly or inefficiently - Getting stuck in validation error loops - Not knowing which workflow patterns to use - Misconfiguring nodes and their dependencies These skills solve these problems by teaching Claude: - ✅ Correct n8n expression syntax ({{}} patterns) - ✅ How to use n8n-mcp tools effectively - ✅ Proven workflow patterns from real-world usage - ✅ Validation error interpretation and fixing - ✅ Operation-aware node configuration 📚 The 7 Skills 1. n8n Expression Syntax Teaches correct n8n expression syntax and common patterns. Activates when: Writing expressions, using {{}} syntax, accessing $json/$node variables, troubleshooting expression errors. Key Features: - Core variables ($json, $node, $now, $env) - Critical gotcha: Webhook data is under $json.body - Common mistakes catalog with fixes - When NOT to use expressions (Code nodes!) 2. n8n MCP Tools Expert (HIGHEST PRIORITY) Expert guide for using n8n-mcp MCP tools effectively. Activates when: Searching for nodes, validating configurations, accessing templates, managing workflows. Key Features: - Tool selection guide (which tool for which task) - nodeType format differences (nodes-base.* vs n8n-nodes-base.*) - Validation profiles (minimal/runtime/ai-friendly/strict) - Smart parameters (branch="true" for IF nodes) - Auto-sanitization system explained

Are you guys using it yet? What tasks is it good at? One thing i have found is that it is not good at creating long detailed requirements or planning documents and doing changes and retaining the details. But very good for intelligence and getting opinions on different aspects of campaigns or projects. Especially if if you keep context low. How are you finding it?

Did you know.... You can turn any YouTube video into an infographic using Nano Banana Pro in Gemini or Google AI Studio - Copy any YouTube link - Paste in Gemini or Google AI Studio and ask it to analyse it - Then ask for an infographic Prompt: "Generate an image of an infographic explaining the concept presented in the video." Let us know how you make out with it and what you were able to create

As marketers we often need to build apps, funnels, websites, data processes and many other things. We can use AI as developers to do this... We are shifting from the era of AI autocomplete to autonomous coding agents. This new guide outlines how engineering teams can delegate entire workflows to AI, utilizing models that can now sustain reasoning for hours rather than seconds. The document covers specific strategies for transforming every phase of the development lifecycle: - Plan: Agents cross-reference specs with codebases to map dependencies and estimate complexity. - Build: Moving from manual coding to "First-Pass Implementation" by agents, while engineers focus on architecture. - Test & Review: Using AI to generate edge-case tests and conduct initial code reviews before a human sees the pull request. - Deploy: Automating root cause analysis by connecting agents directly to logging tools. - The key takeaway is that the engineer's role is evolving from rote implementation to design and supervision. Download the full PDF below to access the "Getting Started" checklists for each stage. author - OpenAI