PromptForge
Prompt library

RSS-to-Social Repurposer

n8n + ClaudeAutomation

Auto-posting new articles to social channels

The prompt

New RSS item: {{$json.title}} — {{$json.content}}. Turn this into: (1) one tweet under 280 characters with a link placeholder, (2) one LinkedIn post under 100 words. Return as JSON: {"tweet": string, "linkedin": string}.

What to replace

Swap these placeholders for your own details before running the prompt:

  • {{$json.title}}your own value
  • {{$json.content}}your own value

How to use this prompt

  1. Copy the prompt using the button above.
  2. Replace {{$json.title}}, {{$json.content}} with your own details — the more specific you are, the better the output.
  3. Paste it into n8n + Claude and run it.
  4. If the answer feels generic, add constraints: audience, length, tone, and what to avoid. That single change fixes most weak output.

Related prompts

n8n + ChatGPT

Weekly Automation Digest

Automated weekly team update via n8n + Slack

ChatGPT

Critique-and-Revise Loops — ChatGPT

A loop is simply feeding a model's own output back to it (or to a second prompt) for review and improvement, repeated until a quality bar is met.

Claude

Critique-and-Revise Loops — Claude

A loop is simply feeding a model's own output back to it (or to a second prompt) for review and improvement, repeated until a quality bar is met.

ChatGPT / Agent tools

The ReAct Pattern (Reason + Act)

ReAct loops interleave reasoning ("what should I do next?") with actions (calling a tool, searching, running code), then feed the result back in before reasoning again.

Claude

Giving Loops Memory

For loops that run over many steps (research agents, multi-turn assistants), summarize prior steps into a short running memory instead of replaying the full history every time — this keeps context small and cheap..

Any model

Planner–Worker–Reviewer Teams

The most robust agent architecture is also the simplest: a Planner decomposes the goal into tasks, Workers execute one task each with narrow context, and a Reviewer checks results against acceptance criteria before anything ships.

Topics

AI Automation

Related across the site

Course

AI Automation with n8n

Connect AI models to real workflows using n8n — the open-source automation tool. Learn the HTTP Request and AI Agent nodes, and build automations that run on a schedule or trigger.

Glossary

Human in the loop

Human in the loop means inserting a person at decision points in an automated workflow — typically to approve consequential actions or review low-confidence outputs before they take effect.

Article

n8n and AI: Build Your First Real Automation

A practical walkthrough of wiring an AI model into an n8n workflow — the node structure, the prompt that makes it reliable, and three automations worth building first.

Prompt

AI Email Triage & Auto-Responder

Trigger: new email in inbox -> AI node classifies intent (support, sales, spam, urgent) -> conditional branches route to auto-reply, Slack alert, or human queue..

Prompt

Auto Content Repurposing Pipeline

Trigger: new blog post published (RSS or webhook) -> AI node: generate a Twitter/X thread, LinkedIn post, and email blurb from the article -> Route each to the right channel.

Prompt

Connecting an LLM to n8n

n8n connects to AI models either through dedicated nodes (OpenAI, Anthropic community nodes) or a generic HTTP Request node calling any model's API.