Content Asset Compounding Production System

Problem

This skill targets creators who continuously produce content for Xiaohongshu, Douyin image posts, and WeChat Official Accounts. A typical writing workflow often becomes “starting from scratch” every time: ideas are scattered, assets are not reused, platform differences depend on intuition, and post-publish data is not accumulated. The result is repetitive labor and weak content asset growth.

How It Works

It turns content production into an executable local-file workflow:

• Topic capture: use 记录选题 to store ideas in 01-选题管理/
• Draft generation: before writing, search 03-素材库/, 05-方法论沉淀/, and platform templates
• Title optimization: apply Xiaohongshu title methods and output multiple titles plus cover text
• Platform adaptation: rewrite drafts for Xiaohongshu, Douyin, and WeChat based on length, title style, and CTA
• Data review: record likes, saves, comments, and views, then summarize monthly and feed methodology updates

The key pattern is search-before-write, template-driven drafting, and post-write archiving into the right directories. Each iteration reuses existing material and gradually builds a core concept library, quote library, high-performing draft library, and case library.

Boundaries

It fits users with ongoing multi-platform content needs who are willing to maintain a local Markdown asset library. If you only need a one-off caption, the full workflow may be overkill. The materials do not mention auto-publishing, comment scraping, or live data APIs, so metrics must be provided manually; directory conventions and file paths also add setup cost.