What makes AI Content — Xiaohongshu Content Production notable?

962 downloads. Trust evidence available

How should AI Content — Xiaohongshu Content Production be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

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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... Skill: AI Content — Xiaohongshu Content Production Owner: zmy1006-sudo Summary: 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... Tags: aigc:1.0.0, article-writing:1.0.0, content-creation:1.0.0, latest:1.0.0, scheduled-publishing:1.0.0, xiaohongshu:1.0.0 Version history: v1.0.0 | 2026-04-19T11:25:26.938Z | u

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

962

Updated

Oct 12, 2026

Version

1.0.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 962 downloads reported by the source. Last updated 10/12/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 12, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 12, 2026
Adoption signal: 962 downloadsadoption · observed Oct 12, 2026
Latest release: 1.0.0release · observed Apr 19, 2026
Handshake status: UNKNOWNsecurity

What changed

Newest first. Only changes that point at a source are listed.

Release 1.0.0release
Initial release: CheeMao/ai-content AI content pipeline for Xiaohongshu
Observed Apr 19, 2026 · source

Install and run

Setup complexity: low.

clawhub skill install s178943e0sqbs17b9qd9x38x7583wvdq:ai-content-xiaohongshu

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-zmy1006-sudo-ai-content-xiaohongshu/snapshot"

Run-check

$0.02 USD

1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.

Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.

Documentation

CLAWHUB

5,957 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: 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内容流水线/批量内容生产/多平台内容分发/AIGC内容工作流/公众号内容创作/微信内容运营/内容选题推荐/热点选题/AI选题评分/风格管理/文章模板管理/HTML模板/Markdown文章
author: cheemao
version: 1.0.0
---

# AI Content — 小红书内容生产系统

灵感来源：[CheeMao/ai-content](https://github.com/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

1. **批量内容生产**：需要定时/批量生成小红书笔记、公众号文章
2. **选题挖掘**：从 RSS/API/网页采集热点，自动 AI 评分筛选
3. **AI 辅助创作**：多角色协作生成高质量文章，支持 Markdown/HTML 双格式
4. **小红书卡图**：AI 生成封面图 + 小红书成品卡图
5. **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

```bash
# 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

1. **配置管理 → AI 平台**：添加模型服务商（如 GLM / Kimi）
2. **配置管理 → AI 模型**：添加可用模型
3. **配置管理 → 默认模型**：设置"文章创作"和"选题推荐"的默认模型
4. **配置管理 → 采集源配置**：初始化默认信息源
5. **风格管理 + 文章模板**：补齐内容风格和模板
6. **素材管理**：开始采集内容
7. **精选选题库**：生成与筛选选题
8. **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：

1. **选题方向建议**（基于热点采集给出选题优先级）
2. **文章结构模板**（根据小红书/公众号风格生成框架）
3. **小红书文案生成**（带 emoji、标签、口语化表达）
4. **封面图/卡图 Prompt 建议**（为 AI 生图模型提供提示词）
5. **定时发布计划编排**（按周/按月规划内容日历）

_meta.json

{
  "ownerId": "kn7afn9q28na0bcm3rnr3bq6yn8303nd",
  "slug": "ai-content-xiaohongshu",
  "version": "1.0.0",
  "publishedAt": 1776597926938
}

skill-card.md

## Description:

This skill helps agents plan and produce Xiaohongshu and WeChat content workflows, including topic discovery, article drafts, card-image prompt suggestions, and publishing schedules.

This skill is for research and development only.

## Publisher:

[zmy1006-sudo](https://clawhub.ai/user/zmy1006-sudo)

### License/Terms of Use:

Personal Use Only License v1.0

## Use Case:

Individual creators and developers use this skill to structure Xiaohongshu or WeChat content production, from collecting material and prioritizing topics to drafting copy, planning card images, and organizing a publishing calendar.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Setup instructions ask users to run an unpinned external project with Docker and npm.

Mitigation: Review the upstream repository, Docker Compose file, npm scripts, dependency lockfiles, and container images, then pin a reviewed commit or release before running it.

Risk: Administrator credentials, API keys, or account-connected publishing credentials may be exposed or stored during setup and use.

Mitigation: Use an isolated development environment, avoid putting administrator passwords on the command line, and do not add real API keys or publishing credentials until data handling is understood.

Risk: Generated social content or publishing plans may be inaccurate, misleading, or unsuitable for publication.

Mitigation: Human-review generated topics, copy, image prompts, and schedules before publishing or sharing them externally.

## Reference(s):

- [ClawHub skill listing](https://clawhub.ai/zmy1006-sudo/skills/ai-content-xiaohongshu)
- [CheeMao ai-content project reference](https://github.com/CheeMao/ai-content)

## Skill Output:

**Output Type(s):** [Text, Markdown, Shell commands, Configuration instructions, Guidance]

**Output Format:** [Markdown guidance with prompts, outlines, schedules, and setup commands]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [May include topic priorities, article structures, Xiaohongshu copy, image prompt suggestions, and publishing plans.]

## Skill Version(s):

1.0.0 (source: frontmatter and release metadata)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

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