What problem does it solve? Writing Xiaohongshu (RED) notes that actually get read requires mastering platform-specific conventions: the 3-line fold hook, short paragraph rhythm, emoji pacing, tag layering, and strict compliance rules. This Skill turns raw topics, product experiences, or personal stories into ready-to-publish note body copy that follows these conventions instead of producing generic AI-sounding marketing text. ## Core Features & Use Cases - Seven note type frameworks: Covers product reviews, tutorials, personal stories, curated lists, warning/avoidance posts, lifestyle hauls, and retrospective summaries, each with its own skeleton, opening templates, and example fragments. - Compliance and style guardrails: Rewrites absolute claims, medical efficacy wording, and导流 phrases into safe first-person experience statements, and enforces paragraph length, emoji density, and tone rules. - Tag strategy and pre-publish checklist: Produces 8-12 layered tags (broad/mid/long-tail) plus a 14-item self-check covering hooks, structure, authenticity, and risk, with concrete rewrites for failing items. - Use Case: A user says "帮我把这段面霜使用体验写成小红书笔记" — the Skill classifies it as a review-type note, drafts the 3-line hook, writes the body with a real drawback included, outputs layered tags, and hands off title and cover-image intent to sibling skills. ## Quick Start Ask the AI to write a Xiaohongshu note body from your topic or material, for example: "用 space-xhs-writer 把我这段记账 App 的试用经历写成一篇小红书正文，附标签和发布前体检。"
