# AI-powered system for Creating & Executing your own Claude Skills: n8n workflow

> Started by someone opening a chat with it, and works across GitHub. It puts Claude and OpenAI behind a retrieval step, so answers are drawn from documents...

Source: https://millionrounds.com/workflow/ai-powered-system-for-creating-and-executing-your-own-claude (Millionrounds; every figure on the page links to its filing or article)

[Automation library](https://millionrounds.com/workflows) · [AI assistants](https://millionrounds.com/workflows?category=AI+assistants#library)

# AI-powered system for Creating & Executing your own Claude Skills

Started by someone opening a chat with it, and works across GitHub. It puts Claude and OpenAI behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 24 steps, 1 branch: large, and worth reading before you trust it with anything live.

Large Calls a model: Claude, OpenAI Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fai-powered-system-for-creating-and-executing-your-own-claude)

**24 steps** Large: read it before trusting it with anything live

**1** Branch: places the flow splits

**0** Loops or waits

**1** Service it connects to

## The flow

Starts it 1 Model 16 Logic 3 Service 4

The steps in the order they run, from what starts it.

- 1 **When chat message received** Chat trigger *Starts it*
- 2 **Simple Memory** Memory Buffer Window *Model*
- 3 **Context7** Mcp Client Tool *Model*
- 4 **Simple Memory1** Memory Buffer Window *Model*
- 5 **OpenAI Chat Model** Lm Chat Open Ai *Model*
- 6 **Anthropic Chat Model2** Lm Chat Anthropic *Model*
- 7 **Simple Memory3** Memory Buffer Window *Model*
- 8 **Structured Output Parser** Output Parser Structured *Model*
- 9 **Set chatbot vars** Set *Logic*
- 10 **List Files** Github Tool *Service*
- 11 **Get File from Skill** Http Request Tool *Service*
- 12 **Anthropic Chat Model** Lm Chat Anthropic *Model*
- 13 **Anthropic Chat Model1** Lm Chat Anthropic *Model*
- 14 **AI Conversational Agent** Agent *Model*
- 15 **Skills Agent** Agent *Model*
- 16 **Claude Skills Creator Agent** Agent *Model*
- 17 **Extract Skill MD** Information Extractor *Model*
- 18 **List Skills** Github *Service*
- 19 **Proceed?** If *Logic*
- 20 **Respond** Chat *Model*
- 21 **SKILL.md Parser** Code *Logic*
- 22 **More info** Chat *Model*
- 23 **Create a Skill** Github *Service*
- 24 **Skill created** Chat *Model*

## How it's built

- **Starts on:** Someone opening a chat with it
- **Steps:** 24, with 1 branch
- **Size:** Large: read it before trusting it with anything live
- **Connects to:** GitHub
- **Model:** Claude, OpenAI
- **Retrieval:** Answers are drawn from documents you supply, not from the model alone

## Questions

What does it need to run?

An n8n account, plus your own GitHub account, and a key for Claude and OpenAI. You connect your own accounts after importing it; none are included.

What starts it?

It starts on someone opening a chat with it.

Does it use AI?

Yes. It calls Claude and OpenAI. Its answers draw on documents you give it, not on the model alone. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Take your time. At 24 steps it is large: read it before trusting it with anything live.

How do I import it?

Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts.

**Before you run it**

Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 24 steps before you point it at anything that matters.

## Run it in n8n

- **Create your n8n account** Free to start. n8n is where the workflow runs. [Create an n8n account ↗](https://millionrounds.com/n8n)
- **Download the workflow** Free with a Millionrounds account. [Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fai-powered-system-for-creating-and-executing-your-own-claude)
- **Paste it into n8n** Open a new workflow in n8n and paste. Then connect your own accounts.

Stored with the author's traces removed: canvas notes, instance identifiers, saved credential names and any live document they had left behind.

## Connects to

Each opens the other workflows that use it.

[GitHub](https://millionrounds.com/workflows?service=GitHub#library)

## Workflows like it

Also ai assistants, with the same services where possible, closest in size first.

- [**Building RAG chatbot for movie recommendations with Qdrant** 25 steps · calls a model · GitHub, Qdrant](https://millionrounds.com/workflow/building-rag-chatbot-for-movie-recommendations-with-qdrant)
- [**Building RAG chatbot for movie recommendations with Qdrant** 25 steps · calls a model · GitHub, Qdrant](https://millionrounds.com/workflow/building-rag-chatbot-for-movie-recommendations-with-qdrant-2)
- [**Automatic jest test generation for GitHub PRs with OpenAI** 20 steps · calls a model · GitHub](https://millionrounds.com/workflow/automatic-jest-test-generation-for-github-prs-with-openai)
- [**Draft customer-facing changelogs from merged GitHub PRs** 20 steps · calls a model · GitHub, Gmail](https://millionrounds.com/workflow/draft-customer-facing-changelogs-from-merged-github-prs)
- [**Create a code assistant that learns from your GitHub repository** 16 steps · calls a model · GitHub, in-memory vectors](https://millionrounds.com/workflow/create-a-code-assistant-that-learns-from-your-github-reposit)
- [**README generator with GitHub** 14 steps · calls a model · GitHub](https://millionrounds.com/workflow/readme-generator-with-github)