ai-agent

ai-shifu: AI Teaching Helper

Get AI to teach and answer questions. For founders in education and AI.
324 stars+6★ this week125 forksPythonGuide quality 8/10 · reviewed Jul 9Updated 10/9/2026100% free · open source
What it does

Ai-shifu is an AI-powered tool that allows users to interact with it through text-based conversations, enabling it to teach and answer questions on various topics.

When to use it
  • •You need to create interactive educational content for students
  • •You want to develop an AI-powered chatbot for customer support
  • •You need to generate automated responses for frequently asked questions
Ready-to-paste prompt
python chat.py --model-path=models/my_model --question='What is the capital of France?'
Heads up: You need to have Python 3.8 or later installed, as well as the necessary dependencies specified in the `requirements.txt` file, to run ai-shifu successfully
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/ai-shifu && curl -fsSL https://workflowstacks.com/api/skills/ai-shifu/claude-skill -o ~/.claude/skills/ai-shifu/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How ai-shifu: AI Teaching Helper works
Codeflow
Free to inspect

Ai-shifu: AI Teaching Helper is a very large Python project (~431k lines across 1498 code files, plus 716 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Apache-2.0 license, has a test suite.

Size
Very large codebase
~431k lines · 1498 code files · days to read — use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Docker
No API keys detected
Python 68%TypeScript 31%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    src/api/app.py
    Inside src/ — the main logic begins here
What's in each folder
src/Core code — the actual logic2815 files
docs/Documentation277 files
scripts/Helper scripts85 files
docker/Deployment / infrastructure15 files
.github/CI / automation (GitHub Actions)26 files
.cursor/Editor / agent settings8 files
assets/Images & static assets3 files
.codex/Tool / agent settings1 files
READMEHas testsDocumentedCI checksDocker readyApache-2.0 licenseUpdated this month
Quick Actions
Details
Creator
ai-shifu
Language
Python
Category
ai-agent
Published
7/23/2024

Are you the creator of this tool? and earn 85% of every sale.

Show it off in your README:

Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/ai-shifu.svg)](https://workflowstacks.com/skills/ai-shifu?utm_source=github&utm_medium=badge)
🔥 Hot this week, in your inbox
Skills like this, every Monday.

The five fastest-growing open-source AI skills, ranked by GitHub star growth. One email a week, unsubscribe anytime.

Do this with a working workflow

Pages we wrote and tested that put a skill like this to work — importable n8n templates, outcome guides and Claude Desktop configs.