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expert-xhs

Automates Xiaohongshu account operations from positioning and content production to publishing and data review.

8.5k|1.4k|Updated Apr 24, 2024
Search Tags:#content production#note publishing#engagement analytics#XiaoHongShu#Social Media#account benchmarking#style dna
One-click install
npx skills add https://github.com/TeamWiseFlow/wiseflow --skill expert-xhs
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: expert-xhs
Source: https://github.com/TeamWiseFlow/wiseflow/tree/main/crews/main/skills/expert-xhs
Command: npx skills add https://github.com/TeamWiseFlow/wiseflow --skill expert-xhs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Running a Xiaohongshu (RED) account requires consistent positioning, on-brand note writing, compliant publishing, and data-driven iteration. This Skill packages the full operation lifecycle into six workflows so an agent can handle account setup, benchmarking, note production, editing, and performance review without ad-hoc instructions.

Core Features & Use Cases

  • Style DNA System: Extracts a 16-dimension content DNA from sample notes via xhs-style-profiler, aggregates reports into a DNA document and a seven-part production template, and evolves the DNA from publishing feedback.
  • End-to-End Content Production: Produces image-text and video notes from rough ideas, reference notes, or drafts, with hard platform limits enforced (title ≤ 20 chars, body ≤ 1000 chars, ≤ 18 images, ≤ 10 hashtags), then publishes via xhs-publish.
  • Benchmarking & Review: Searches low-follower viral notes, builds independent benchmark DNAs, compares them dimension-by-dimension against the baseline, and runs attribution-based data reviews using engagement metrics scraped from the creator backend.
  • Use Case: Ask the agent to launch a new Xiaohongshu account for your product: it checks business knowledge, researches keywords and low-follower viral notes, initializes dna-0, drafts and publishes notes, then reviews engagement data weekly to refine the DNA.

Quick Start

Ask the agent to help you set up a new Xiaohongshu account for your product and write the first note based on your business information.

Frequently Asked Questions about expert-xhs

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I publish a Xiaohongshu note with this skill?▼

Run xhs-publish check to verify login, then call xhs-publish with --mode image or video, a title under 20 characters, body under 1000 characters with inline hashtags, and up to 18 images. The script uploads via creator COS and creates the note through the web API.

What is a content style DNA for Xiaohongshu notes?▼

A style DNA is a 16-dimension profile extracted from sample notes by xhs-style-profiler, covering topic angle, title style, hooks, body structure, visuals, and CTA. Reports aggregate into a DNA document and a seven-part production template that guides all future note writing.

Can it download and analyze competitor Xiaohongshu notes?▼

Yes, xhs-content-ops downloads image-text notes by URL or note-id, returning body text, images, author, and engagement stats. Video notes return a VIDEO_NOTE error and are handed to the viral-chaser skill for teardown instead.

Why does Xiaohongshu publishing fail with AUTH_EXPIRED?▼

AUTH_EXPIRED means the creator session expired. Re-login in two steps: refresh the consumer-domain login via login-manager on the xhs-browse session, then run xhs-publish login-verify to complete creator SSO and export fresh cookies.

What are the content limits for Xiaohongshu notes?▼

Titles are limited to 20 characters, body text to 1000 characters, images to 18 per note, and hashtags to 10. Exceeding these causes silent drops or reduced distribution, and the publish script enforces them with validation errors.

How does the data review workflow avoid wrong conclusions?▼

The review workflow normalizes metrics against the account's own baseline, checks eight confounding factors like account maturity and paid promotion before attributing causes, and maps funnel bottlenecks back to specific DNA dimensions. Unverified attributions are marked low confidence.

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