Finance Blogger Style Library

Problem It Solves

Market views and research notes may be readable, but they often do not fit the tone, structure, title, ending, or tags expected on Xiaohongshu, WeChat, Douyin, Bilibili, or Zhihu. Manual rewriting can easily drift into generic AI-style finance writing, data dumps, or forced connections between unrelated sectors.

How It Works

The skill rewrites input material using 21 finance blogger style models. The workflow first chooses a logic spine such as causal chain, comparison, fund flow, or cycle position, then selects the content format and target platform and matches a style. Generation enforces platform-specific constraints:
- Xiaohongshu image-text: cover title under 15 characters with a sector keyword, a first-line scene hook, an actionable closing judgment, and 6-8 tags.
- Short video or oral script: an oral conflict in the first 3 seconds, short sentences with rhetorical questions, and a restrained closing such as “what do you think” or “verify tomorrow.”
- Multi-sector quick review: sectors are analyzed in parallel; links are added only when real fund flow, supply-chain, policy, or sentiment relationships exist.

Boundaries

It is best for rewriting existing market notes, sector updates, research summaries, or review material. It does not invent investment advice or fabricate evidence. It hides the referenced bloggers’ account names and personal brand terms, using only public style names. Series output attempts to maintain consistency with prior posts, but any change in judgment must be tied to new evidence.