Tina Xiaohongshu Creator for Openclaw

An AI-powered content engine that automates the Research-Create-Grow lifecycle for viral Xiaohongshu social media posts.

tina-zhang-coder
v1.0.0
Mar 30, 2026
2
1k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install tina-creator

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install tina-creator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Tina Xiaohongshu Creator?

Tina Creator is a sophisticated content generation tool built for the Xiaohongshu (RED) platform. By utilizing the Openclaw Skills framework, it implements a professional Research-Create-Grow workflow that moves beyond simple text generation. It allows developers and marketers to perform deep competitor analysis, identify user pain points, and generate high-engagement content including optimized titles, emojis-rich body text, and AI-generated cover images.

This skill focuses on strategic growth by enabling a feedback loop where successful content patterns are extracted and saved into a local strategy library. Whether you are managing personal accounts or brand presence, this tool provides the technical infrastructure to maintain consistent, high-quality output that resonates with the unique algorithm of Xiaohongshu.

Tina Xiaohongshu Creator Use Cases

  • Automating the creation of viral RED notes for marketing campaigns.
  • Analyzing competitor hooks and emotional curves to reverse-engineer successful posts.
  • Generating 3:4 aspect ratio AI cover images with high-contrast typography and layout.
  • Building a long-term strategy library to store successful content formulas and templates.

How Tina Xiaohongshu Creator Works

  1. The Research phase performs competitor teardowns and user insight analysis to suggest high-potential topics.
  2. The user selects a specific note template, such as a tutorial, product review, or personal story.
  3. The agent checks the existing strategy library to apply previously successful content patterns.
  4. Content is generated following strict platform specifications for titles, body structure, and hashtag usage.
  5. An AI image generation tool creates a 3:4 vertical cover with optimized layout and bold typography.
  6. The final strategy is extracted and saved to the growth library for future content optimization.

Tina Xiaohongshu Creator Setup

To get started with this skill within the Openclaw Skills ecosystem, ensure your environment is configured for file operations and image generation.

# Navigate to your agent project
cd my-ai-agent

# Ensure the required reference files exist
touch templates.md examples.md strategies/_index.md

Configure your image generation API keys to enable the Phase 2 visual creation features.

Tina Xiaohongshu Creator Data Schema & Taxonomy

The skill organizes its intelligence across several Markdown files to ensure persistence and easy modification:

File Path Description
templates.md Contains structural frameworks for different note types like tutorials and lists.
strategies/_index.md A repository of extracted tactics including hook types and title formulas.
examples.md A collection of high-performing note examples for few-shot prompting.

Each extracted strategy in the library includes fields for Strategy Name, Target Audience, Title Formula, and Content Framework.

Tina Xiaohongshu Creator Advanced Features

  • Multi-phase closed-loop workflow: Research, Create, and Grow.
  • Dynamic template selection based on content intent (e.g., comparison vs. tutorial).
  • Automated strategy extraction that learns from every generation session.
  • Specialized AI image prompting for 3:4 vertical covers with high-contrast color schemes.
  • Interactive decision nodes using AskQuestion for user-guided content direction.

SKILL.md


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