Block 1 - Sticky Note
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Auto Approve Skool Community Members with AI Screening using GPT 4o Automatically screen and approve Skool community membership requests using AI. Stop manually reviewing dozens of applications — l...
n8n-nodes-base.stickynote, n8n-nodes-base.scheduletrigger, n8n-nodes-base.set, @apify/n8n-nodes-apify.apify, @n8n/n8n-nodes-langchain.openai, n8n-nodes-base.if, n8n-nodes-base.code
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Cristian Tala Sánchez.
Original n8n.io sourceAutomatically screen and approve Skool community membership requests using AI. Stop manually reviewing dozens of applications — let GPT-4o-mini evaluate each applicant based on your custom criteria and auto-approve qualified members.
The system prompt defines your screening criteria. Adapt it for your community:
You can replace GPT-4o-mini with:
| Service | What you need | Where to get it |
|---|---|---|
| Apify | API token | apify.com/account/integrations |
| OpenAI | API key | platform.openai.com/api-keys |
| Skool | Admin access to your community | skool.com |
Skool All-in-One API — the most complete Skool automation on Apify. Read AND write: posts, comments with nesting, members, mentions, and more.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Auto-approve Skool community members with GPT-4o AI screening |
|---|---|
| Complexity | advanced |
| Nodes | 17 |
| Categories | Lead Nurturing, AI Summarization |
| Author | Cristian Tala Sánchez |
| Published | 27 Mar 2026 |
Use the JSON export at /data/workflows/14392/14392.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Auto Approve Skool Community Members with AI Screening using GPT 4o Automatically screen and approve Skool community membership requests using AI. Stop manually reviewing dozens of applications — l...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Lead Nurturing, AI Summarization use case.