Analysis updated 2026-05-18
Diagnose why sales are down for an independent online store
Build a paid ad campaign from scratch across Facebook, Google, or TikTok
Improve repeat purchase rates and customer retention
Follow a preset workflow for launching a new product or major sale
| afadtc/afa-dtc-skills | alibaba-multimodal-industrial-ai/industrybench | hamid-k/nginx-rift-private-lab | |
|---|---|---|---|
| Stars | 66 | 66 | 67 |
| Language | Python | Python | Python |
| Setup difficulty | easy | moderate | hard |
| Complexity | 2/5 | 3/5 | 5/5 |
| Audience | pm founder | researcher | researcher |
Figures from each repo's GitHub metadata at analysis time.
Documentation is primarily in Chinese.
AFA DTC Skills is an AI advisor system aimed at independent e-commerce store owners and direct-to-consumer (DTC) brands, companies that sell products directly to customers online without going through retailers. The author, who describes themselves as having managed a $100 million budget across independent stores for a decade, distilled that experience into 30 AI-powered advisory modules covering the full lifecycle of growing an online store. The system is organized in three layers. At the top is a central Hub called "afa" that acts as the front door, it receives any question about your store, figures out what kind of help is needed, and routes it to the right specialist. In the middle are five Supervisor modules, each covering a major business domain: brand and product foundations, paid advertising (Facebook, Google, TikTok), organic growth (SEO, social media, influencer marketing), monetization and retention (conversion rate, email, SMS, customer lifetime value), and operations and scaling. At the bottom are 22 Worker modules that each handle one specific area in depth. You would use this if you run an independent online store and need strategic guidance on topics like diagnosing why sales are down, building an ad campaign from scratch, improving repeat purchase rates, or expanding into new sales channels. The entire project is written in Python, and the documentation is primarily in Chinese. It includes 11 preset workflows for common scenarios such as launching a new product, preparing for major sales events, or recovering from a cash flow crisis.
An AI advisor system of 30 modules that gives independent e-commerce store owners strategic guidance on marketing, growth, retention, and operations.
Mainly Python. The stack also includes Python.
Setup difficulty is rated easy, with roughly 30min to a first successful run.
Mainly pm founder.
This repo across BitVibe Labs
Verify against the repo before relying on details.