A curated collection of modular n8n workflows built for real-world automation, featuring AI-powered agents, social media analyzers, resume screeners, lead generation systems, AI Personal Assistant , and others. Each workflow is documented for clarity, scalability, and community learning.
git clone https://github.com/Orekidesu/n8n-workflow-project-lists.gitn8n-workflow-project-lists is a curated repository of production-ready n8n workflows designed for marketing automation and AI agent orchestration. The collection includes AI resume screeners, Instagram Reel analyzers, business lead extractors, and personal AI assistants—each built with modular components for scalability and reuse. Each workflow comes with detailed documentation covering logic flow, input/output specifications, use cases, and tech stack integrations. Ideal for automation specialists, n8n practitioners, and teams looking to implement real-world AI-powered workflows without starting from scratch.
Automated candidate evaluation and resume screening with AI agents
Instagram Reel performance analysis and viral element extraction
Business lead scraping and email extraction from Google Maps
Multi-channel personal AI assistant task orchestration
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/Orekidesu/n8n-workflow-project-listsCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Generate a detailed n8n workflow for [COMPANY] in the [INDUSTRY] sector. The workflow should automate [SPECIFIC TASK], integrating with [DATA SOURCES] and [TOOLS]. Include clear documentation for each step, ensuring scalability and ease of understanding for the community.
# Workflow: Automated Social Media Lead Generation ## Overview This workflow automates the process of identifying potential leads from social media platforms, specifically LinkedIn and Twitter, for [COMPANY], a tech startup in the SaaS industry. ## Steps 1. **Data Collection**: - Uses LinkedIn API to scrape profiles of users who have engaged with [COMPANY]'s posts. - Uses Twitter API to collect tweets mentioning [COMPANY]'s products or services. 2. **Data Processing**: - Filters data to identify potential leads based on criteria such as job title, industry, and engagement level. - Cleans and formats the data for analysis. 3. **Lead Scoring**: - Uses an AI model to score leads based on their potential value to [COMPANY]. - Categorizes leads into high, medium, and low priority. 4. **Lead Distribution**: - Integrates with [COMPANY]'s CRM system to distribute leads to the appropriate sales team members. - Sends notifications to sales team members via email and Slack. ## Output The workflow outputs a list of prioritized leads, along with their contact information and engagement history, ready for the sales team to follow up on.
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