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Install in OpenClaw
/install ai-content-xiaohongshu
Description
小红书内容创作AI生产流水线系统。将信息采集、素材整理、选题挖掘、文章创作、小红书卡图生成、定时发布等完整工作流引入AI Agent。 触发词：生成小红书内容/创作小红书/写小红书笔记/小红书创作/内容采集/素材管理/选题挖掘/选题库/文章创作/文章模板/小红书卡图/封面图生成/定时发布/内容发布管理/AI内容流...
README (SKILL.md)
AI Content — 小红书内容生产系统
灵感来源：CheeMao/ai-content ⭐ 138
将 AI 内容生产完整流水线（采集→选题→创作→配图→发布）引入 OpenClaw Agent，帮助用户高效批量生产小红书/公众号内容。
适用场景
- 批量内容生产：需要定时/批量生成小红书笔记、公众号文章
- 选题挖掘：从 RSS/API/网页采集热点，自动 AI 评分筛选
- AI 辅助创作：多角色协作生成高质量文章，支持 Markdown/HTML 双格式
- 小红书卡图：AI 生成封面图 + 小红书成品卡图
- 工作流编排：将内容生产编排为自动化流水线
核心概念
| 概念 | 说明 |
|---|---|
| 信息源 | RSS / API / 网页抓取，支持多源并行采集 |
| 素材库 | 采集内容汇总，支持筛选与图片过滤 |
| 选题库 | AI 评分选题，支持人工复选与优先级排序 |
| 文章创作 | Markdown / HTML 模板，支持多风格切换 |
| 小红书卡图 | AI 生成封面图 + 成品卡图（需配置图片生成模型） |
| 发布管理 | 支持草稿/定时发布，平台包括小红书/公众号 |
| 风格管理 | 预设创作风格，适配不同品牌调性 |
快速开始
环境要求
- Node.js 18+
- Docker（PostgreSQL + Redis）
- OpenAI 兼容模型（GLM / Kimi / OpenAI 等）
部署步骤
# 1. 克隆项目
git clone https://github.com/CheeMao/ai-content ai-content
cd ai-content
# 2. 配置环境变量
cp backend/.env.example backend/.env
cp frontend/.env.example frontend/.env.local
# 3. 启动数据库与 Redis
docker compose up -d
# 4. 初始化数据库
cd backend && npm install && npm run db:init
# 5. 创建管理员账号
npm run db:bootstrap-admin -- --username admin --password '你的强密码' --email [email protected] --name 管理员
# 6. 启动后端（默认 http://localhost:3001）
npm run start:dev
# 7. 启动前端（默认 http://localhost:3000）
cd ../frontend && npm install && npm run dev
首次配置顺序
- 配置管理 → AI 平台：添加模型服务商（如 GLM / Kimi）
- 配置管理 → AI 模型：添加可用模型
- 配置管理 → 默认模型：设置"文章创作"和"选题推荐"的默认模型
- 配置管理 → 采集源配置：初始化默认信息源
- 风格管理 + 文章模板：补齐内容风格和模板
- 素材管理：开始采集内容
- 精选选题库：生成与筛选选题
- 我的文章 / 小红书笔记：开始内容创作
能力边界
| ✅ 可做 | ❌ 不做 |
|---|---|
| 内容采集与素材管理 | 替代 Docker/PostgreSQL/Redis |
| AI 选题评分与筛选 | 直接发布到小红书（需手动复制发布） |
| Markdown/HTML 文章创作 | 替代图片生成模型的 API Key |
| 小红书卡图生成（需配置模型） | 实时舆情监控 |
| 定时发布计划管理 | 微信公众号直连发布 |
AI 模型接入
支持所有 OpenAI 兼容协议 的模型服务商：
- OpenAI 官方接口
- 各类兼容中转平台（GLM / Kimi / 阶跃星辰等）
- 自建兼容网关
- 本地模型服务（Ollama 等）
接口要求：
/chat/completions— 文本对话/images/generations— 图片生成（可选，用于卡图功能）
许可证
Personal Use Only License v1.0
- ✅ 个人学习、研究、非商业使用
- ❌ 禁止企业使用 / SaaS 服务 / 商业变现
AI Agent 使用方式
当你需要批量生产小红书/公众号内容时，可调用此 skill 获取：
- 选题方向建议（基于热点采集给出选题优先级）
- 文章结构模板（根据小红书/公众号风格生成框架）
- 小红书文案生成（带 emoji、标签、口语化表达）
- 封面图/卡图 Prompt 建议（为 AI 生图模型提供提示词）
- 定时发布计划编排（按周/按月规划内容日历）
Usage Guidance
This SKILL.md is a deploy-and-configure guide pointing to an external GitHub project. Before using or following it: 1) verify the referenced GitHub repository (CheeMao/ai-content) and review its source code, licenses, and recent commits; 2) run deployments in an isolated environment (VM/container) rather than your primary machine; 3) do not reuse high-privilege or long-lived credentials—create scoped API keys for AI/image services and separate DB credentials for the app; 4) expect to provide OpenAI-compatible model keys and image-generation keys even though the skill metadata doesn't list them; 5) be cautious about the data you allow the app to scrape or store (it will collect web content and media); 6) confirm the license restriction (Personal Use Only) matches your intended usage. If you need higher assurance, ask the publisher for an explicit list of required environment variables and a pointer to the exact repository tag/release to inspect.
Capability Analysis
Type: OpenClaw Skill
Name: ai-content-xiaohongshu
Version: 1.0.0
The skill bundle contains metadata and documentation (SKILL.md) for an AI content production system for Xiaohongshu. It outlines standard deployment procedures using Docker and NPM and describes features like RSS collection and AI-assisted writing. No executable code or malicious prompt injections were found; the instructions are consistent with the stated purpose of setting up a self-hosted content management tool.
Capability Tags
Capability Assessment
Purpose & Capability
Name/description align with the documented workflow (collection → topics → writing → images → scheduling). The SKILL.md is essentially a full-project deployment guide (git clone, Docker, Postgres, Redis, Node.js) which is coherent with building the described system. However, the skill does not declare any required environment variables or credentials even though the instructions require configuring model providers, image APIs, and database credentials.
Instruction Scope
Runtime instructions stay within the domain of deploying and configuring a content-production app: cloning the repo, starting DB/Redis, running npm scripts, creating an admin account, and configuring AI model endpoints. The doc references web scraping / RSS ingestion and connecting to AI/image providers, which are expected for this purpose and do not instruct reading unrelated system files or exfiltrating data. Still, the instructions expect the user to supply multiple external credentials and to run network-enabled services.
Install Mechanism
This is an instruction-only skill with no install spec and no code files embedded in the skill bundle, so nothing will be written or executed by the skill itself during installation. The SKILL.md points to a GitHub repo for a third-party project; installing that project is outside the platform and should be reviewed manually.
Credentials
The SKILL.md requires configuring AI model providers, image-generation APIs, Docker/Postgres/Redis, and creating admin credentials, but the skill metadata declares no required env vars or primary credential. This lack of declared credentials reduces transparency: the system will need API keys, DB credentials, and likely OAuth tokens, but the skill does not enumerate them or explain minimal scoping. Users could accidentally supply broad or reuse sensitive credentials.
Persistence & Privilege
The skill is not always-on and is user-invocable; it does not request persistent platform privileges. There is no indication it modifies other skills or platform-wide settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install ai-content-xiaohongshu - After installation, invoke the skill by name or use
/ai-content-xiaohongshu - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: CheeMao/ai-content AI content pipeline for Xiaohongshu
Metadata
Frequently Asked Questions
What is AI Content — Xiaohongshu Content Production?
小红书内容创作AI生产流水线系统。将信息采集、素材整理、选题挖掘、文章创作、小红书卡图生成、定时发布等完整工作流引入AI Agent。 触发词：生成小红书内容/创作小红书/写小红书笔记/小红书创作/内容采集/素材管理/选题挖掘/选题库/文章创作/文章模板/小红书卡图/封面图生成/定时发布/内容发布管理/AI内容流... It is an AI Agent Skill for Claude Code / OpenClaw, with 116 downloads so far.
How do I install AI Content — Xiaohongshu Content Production?
Run "/install ai-content-xiaohongshu" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is AI Content — Xiaohongshu Content Production free?
Yes, AI Content — Xiaohongshu Content Production is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does AI Content — Xiaohongshu Content Production support?
AI Content — Xiaohongshu Content Production is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created AI Content — Xiaohongshu Content Production?
It is built and maintained by mingyuan (@zmy1006-sudo); the current version is v1.0.0.
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