# ganhuo-ai-knowledge-commerce

ganhuo-ai-knowledge-commerce is a Codex Skill for building a repeatable AI-assisted knowledge-commerce pipeline. It is useful when a user wants to turn a niche, expertise, sources, and AI tools into an operating system for公众号 content, 知识星球 delivery, private-domain follow-up, and weekly data review.

## Minimum Input

The skill works best with a niche, target user, current stage, available sources and permissions, owned experience or test logs, target channels, paid deliverable, rough price range, available tools, and the expressions the operator wants to strengthen.

## Core Workflow

1. Define the paid offer: niche, user pain, transformation, price ladder, proof, and delivery scope.
2. Build a source engine: owned experience, authorized material, public references, reports, interviews, tool tests, and user-submitted cases.
3. Create source cards: URL or contract, author, date, permission, allowed use, risk note, original angle.
4. Build the knowledge base: topic clusters, FAQs, templates, examples, objections, glossary, and case notes.
5. Distill voice: tone, pacing, examples, CTA style, taboo claims, and human story bank.
6. Produce content: topic, outline, draft, source-linked claims, tables, CTA, and platform variants.
7. Review: fact, source, personal information, sales claims, AI media disclosure, and platform fit.
8. Ship:公众号草稿, 知识星球主题,朋友圈/企微 copy, and manual approval.
9. Review metrics: reads, completion, comments, follows, paid conversion, refund signals, and next experiments.

## Minimal Stack

- Feishu Bitable for content tables, source cards, platform action table, and metrics.
- Feishu Docs or local Markdown for canonical drafts.
- Dify, AnythingLLM, RAGFlow, Open WebUI, LlamaIndex, or Haystack for knowledge base/RAG.
- n8n for intake, orchestration, human gates, and draft creation.
- WeChat Official Account draft creation with human final publish approval.
- 知识星球 manual publishing and member operation.

Every platform action should default to draft, pending approval, or internal review. Public publishing should use official platform capabilities and keep a human approval record.

## Output

The skill returns a Knowledge Commerce Pipeline Brief with product positioning, source map, knowledge-base structure, publishing workflow, content template, Knowledge Planet rhythm, automation map, 30/60/90-day rollout, and metrics.

## Growth Principle

Use improvement language: improve conversion probability, improve trust, improve content velocity, lower refund and complaint risk, and run small experiments. Avoid unverifiable claims such as guaranteed income or automatic money.

## Repository

https://github.com/yuanyuanyuan430/ganhuo-ai-knowledge-commerce
