用户请求写笔记/发小红书
                                   │
                                   ▼
                      用户是否提供了主题？
                                   │
                      ┌────────────┴────────────┐
                      │                         │
                    没有                       有
                      │                         │
                      ▼                         │
                 ① 询问主题                     │
                      │                         │
                      └────────────┬────────────┘
                                   │
                                   ▼
                  ② 笔记类型选择
                                   │
                                   ▼
                    生成标题 + 正文（通用）
                                   │
                ┌──────────────────┼──────────────────┐
                │                  │                  │
                ▼                  ▼                  ▼
           📷纯封面图          🖼️知识卡片         🎬视频笔记
                │                  │                  │
                ▼                  ▼                  ▼
           生成封面          生成知识卡片      ③ 视频流程
                │                  │                  │
                └──────────────────┼──────────────────┘
                                   │
                                   ▼
                          ④ 内容确认
                                   │
                          ┌───────┴───────┐
                          │               │
                       满意            不满意
                          │               │
                          ▼               ▼
                      ⑤ 发布流程     重新生成/调整
                          │
                ┌─────────┼─────────┐
                │                   │
                ▼                   ▼
            发布成功           发布失败
                │                   │
                ▼                   ▼
             完成 ✅           ⑥ 登录流程

（注：🎬 视频笔记不需要封面图，小红书会自动从视频中截取）

// 1. 先把文件复制到 inbound 目录
cp /path/to/file.jpg /root/.openclaw/media/inbound/

// 2. 再用 message 发送
message({
  action: "send",
  channel: "feishu",
  media: "/root/.openclaw/media/inbound/file.jpg",
  filename: "文件名.jpg"
})

cute cartoon illustration style, [场景描述], kawaii anime style, soft pastel [色调] colors, minimal clean background, with Chinese text "[标题]" at top, no watermark, high quality, square format, poster design

curl -X POST "https://ark.cn-beijing.volces.com/api/v3/images/generations" \
  -H "Authorization: Bearer $DOUBAO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "doubao-seedream-5-0-260128",
    "prompt": "cute cartoon illustration style, ...",
    "size": "2048x2048",
    "n": 1
  }'

标题：OpenClaw原理剖析

封面文案：
如何让OpenClaw真的能干活
3分钟看懂 | 实用技巧 | 效率翻倍

# 调用 MD2Card API 生成封面
curl -X POST https://md2card.cn/api/generate/cover \
  -H "x-api-key: $MD2CARD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "text": "如何让OpenClaw真的能干活\n3分钟看懂 | 实用技巧 | 效率翻倍",
    "keywords": "OpenClaw",
    "count": 3
  }'

# 响应示例：
{
  "success": true,
  "images": [
    {
      "url": "https://md2card-com.oss-cn-shenzhen.aliyuncs.com/screenshot/xxx.png",
      "fileName": "screenshot/xxx.png",
      "size": 218.88
    }
  ],
  "cost": 2,
  "message": "成功生成 3 张封面图片，消耗 2 积分"
}

# 下载第一张图片
curl -s "图片URL" -o /root/.openclaw/media/inbound/xhs_cover.png

# 检测 MD2Card 积分（可选，提前检测）
curl -s https://md2card.cn/api/user/info \
  -H "x-api-key: $MD2CARD_API_KEY"

# 响应示例：
{
  "success": true,
  "data": {
    "balance": 50,  # 剩余积分
    "used": 100     # 已用积分
  }
}

# 如果 balance < 10，建议充值

source /etc/environment && timeout 120 npx -y md2card-mcp-server@latest << 'EOFMCP'
{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"openclaw","version":"1.0.0"}}}
{"jsonrpc":"2.0","method":"notifications/initialized"}
{"jsonrpc":"2.0","id":2,"method":"tools/call","params":{"name":"md2card_api","arguments":{
  "markdown": "## 标题\n\n内容...",
  "type": "小红书",
  "theme": "apple-notes",
  "splitMode": "autoSplit"
}}}
EOFMCP

{
  "markdown": "## 🎯 OpenClaw 是什么？\n\nOpenClaw 是一个 AI 助手框架...\n\n---\n\n## 💎 5 大核心玩法\n\n### 1️⃣ 小红书一键发布\n...",
  "type": "小红书",
  "theme": "apple-notes",
  "splitMode": "autoSplit",
  "width": 440,
  "height": 586,
  "mdxMode": false,
  "overHiddenMode": false
}

{
  "result": {
    "content": [{
      "type": "text",
      "text": "**下载图片**\n[screenshot/xxx_1.png](https://...)\n图片大小：120 KB\n[screenshot/xxx_2.png](https://...)\n图片大小：95 KB\n[screenshot/xxx_3.png](https://...)\n图片大小：85 KB\n...\n\n**在线编辑**\n[点击在线编辑](https://...)\n\n- 本次消耗积分：10"
    }]
  }
}

# 发送封面图
openclaw message send --channel feishu --media /root/.openclaw/media/inbound/md2card_cover.png --message "📷 封面预览"

# 发送知识卡片
openclaw message send --channel feishu --media /root/.openclaw/media/inbound/md2card_content.png --message "🖼️ 知识卡片预览"

# 检查环境变量
echo $MD2CARD_API_KEY && echo "✅ MCP 已配置" || echo "❌ MCP 未配置"

# 启动 MCP 服务（后台运行）
MD2CARD_API_KEY="您的密钥" npx -y md2card-mcp-server@latest &

export MD2CARD_API_KEY="您的密钥"

# 调用 MCP 生成小红书知识卡片
cat << 'EOF' | timeout 30 npx -y md2card-mcp-server@latest
{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"openclaw","version":"1.0.0"}}}
{"jsonrpc":"2.0","method":"notifications/initialized"}
{"jsonrpc":"2.0","id":2,"method":"tools/call","params":{"name":"md2card_api","arguments":{"markdown":"## 标题\n\n内容","type":"小红书","theme":"apple-notes"}}}
EOF

{
  "result": {
    "content": [{
      "type": "text",
      "text": "**下载图片**\n[图片链接](https://...)\n图片大小：XX KB\n\n**在线编辑**\n[点击在线编辑](https://...)"
    }]
  }
}

# MCP 返回结果示例（多张图片）：
{
  "result": {
    "content": [{
      "type": "text",
      "text": "**下载图片**\n[图片1](https://...)\n[图片2](https://...)\n[图片3](https://...)\n\n**在线编辑**\n[点击在线编辑](https://...)"
    }]
  }
}

# 提取所有图片 URL 并下载
# 使用 grep 提取所有图片链接
urls=$(echo "$result" | grep -o 'https://[^)]*\.png')

# 创建保存目录
mkdir -p /root/.openclaw/media/inbound/xhs_cards

# 下载所有图片
i=1
for url in $urls; do
  curl -s "$url" -o "/root/.openclaw/media/inbound/xhs_cards/card_$i.png"
  echo "✅ 已下载第 $i 张卡片"
  i=$((i+1))
done

# 发送所有图片给用户确认
for file in /root/.openclaw/media/inbound/xhs_cards/card_*.png; do
  openclaw message send --channel feishu --media "$file" --message "🖼️ 知识卡片"
done

{
  "style": "科技简约",
  "total_duration": 30,
  "shots": [
    {
      "id": 1,
      "duration": 5,
      "narration": "你有没有遇到过，让AI帮你整理文件，它说无法访问？",
      "prompt": "User typing on phone asking AI chatbot, error message appears, frustrated expression, clean tech UI, blue and white colors, 4K quality"
    }
  ]
}

# 提交视频生成任务
curl -X POST "https://ark.cn-beijing.volces.com/api/v3/contents/generations/tasks" \
  -H "Authorization: Bearer $DOUBAO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "doubao-seedance-1-5-pro-251215",
    "content": [{"type": "text", "text": "[Prompt]"}]
  }'

# 查询任务状态
curl -s "https://ark.cn-beijing.volces.com/api/v3/contents/generations/tasks/[task_id]" \
  -H "Authorization: Bearer $DOUBAO_API_KEY"

export DOUBAO_API_KEY="919ec537-6d4d-43c4-a5ce-a90a17673bbb"

# 生成配音
edge-tts --text "配音文案内容" --voice zh-CN-XiaoxiaoNeural --write-media output.mp3

# 创建合并列表
cat > concat_list.txt << 'EOF'
file 'shot_1.mp4'
file 'shot_2.mp4'
file 'shot_3.mp4'
EOF

# 合并
ffmpeg -f concat -safe 0 -i concat_list.txt -c copy merged.mp4

ffmpeg -i merged.mp4 -i narration.mp3 \
  -c:v copy -c:a aac \
  -map 0:v:0 -map 1:a:0 \
  final_with_audio.mp4

ffmpeg -i final_with_audio.mp4 \
  -vf "subtitles=subtitle.srt:force_style='FontName=Noto Sans CJK SC,Fontsize=24,PrimaryColour=&HFFFFFF,OutlineColour=&H000000,Outline=2'" \
  -c:a copy final_video.mp4

# 1. 获取配音时长
audio_duration=$(ffprobe -v error -show_entries format=duration -of default=noprint_wrappers=1:nokey=1 narration.mp3)

# 2. 获取视频时长
video_duration=$(ffprobe -v error -show_entries format=duration -of default=noprint_wrappers=1:nokey=1 merged_video.mp4)

# 3. 计算差值
diff=$(echo "$audio_duration - $video_duration" | bc)
abs_diff=${diff#-}

# 4. 判断是否通过
if (( $(echo "$abs_diff < 1" | bc -l) )); then
  echo "✅ 音画同步校验通过"
else
  echo "❌ 音画不同步，差值: ${abs_diff}秒"
fi

# 如果配音更长 → 视频放慢
speed_ratio=$(echo "scale=2; $video_duration / $audio_duration" | bc)
setpts_value=$(echo "scale=2; 1 / $speed_ratio" | bc)
ffmpeg -i video.mp4 -filter:v "setpts=${setpts_value}*PTS" -an slowed_video.mp4

# 如果视频更长 → 视频加速
speed_ratio=$(echo "scale=2; $video_duration / $audio_duration" | bc)
ffmpeg -i video.mp4 -filter:v "setpts=${speed_ratio}*PTS" -an faster_video.mp4

---

## 六、发布流程

**⚠️ 用户确认内容后，立即发布，不需要询问！**

### 6.1 立即发布

#### 前置检查

**⚠️ 小红书 MCP 是必装项，无法发布笔记！**

执行环境检查：

```bash
bash {baseDir}/check_env.sh

{
    "name": "publish_content",
    "arguments": {
        "title": "标题",
        "content": "正文",
        "images": ["/path/to/cover.jpg"],
        "tags": ["标签1", "标签2"]
    }
}

{
    "name": "publish_content",
    "arguments": {
        "title": "标题",
        "content": "正文",
        "images": ["/path/to/cover.jpg", "/path/to/content.jpg"],
        "tags": ["标签1", "标签2"]
    }
}

{
    "name": "publish_with_video",
    "arguments": {
        "title": "标题",
        "content": "正文",
        "video": "/path/to/video.mp4"
    }
}

MCP_URL="http://localhost:18060/mcp"

SESSION_ID=$(curl -s -D /tmp/headers -X POST "$MCP_URL" \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{}},"id":1}' \
  > /dev/null && grep -i 'Mcp-Session-Id' /tmp/headers | awk '{print $2}')

curl -s --max-time 30 -X POST "$MCP_URL" -H "Mcp-Session-Id: $SESSION_ID" \
  -d '{"jsonrpc":"2.0","method":"tools/call","params":{"name":"get_login_qrcode","arguments":{}},"id":2}'

nano ~/xiaohongshu-mcp/cookies.json

pkill -f xiaohongshu-mcp && sleep 3
cd ~/xiaohongshu-mcp && export DISPLAY=:99
nohup ./xiaohongshu-mcp-linux-amd64 -port :18060 > mcp.log 2>&1 &

sudo apt update && sudo apt install -y xvfb imagemagick zbar-tools xdotool fonts-noto-cjk

Xvfb :99 -screen 0 1920x1080x24 &

mkdir -p ~/xiaohongshu-mcp && cd ~/xiaohongshu-mcp
wget https://github.com/xpzouying/xiaohongshu-mcp/releases/latest/download/xiaohongshu-mcp-linux-amd64.tar.gz
tar xzf xiaohongshu-mcp-linux-amd64.tar.gz
chmod +x xiaohongshu-*

export ROD_DEFAULT_TIMEOUT=10m
DISPLAY=:99 nohup ./xiaohongshu-mcp-linux-amd64 -port :18060 > mcp.log 2>&1 &

"images": ["{baseDir}/media/inbound/cover.jpg"]
"video": "{baseDir}/media/inbound/video.mp4"

"images": ["data:image/jpeg;base64,..."]

pgrep -f xiaohongshu-mcp           # MCP 是否运行
pgrep -x Xvfb                      # Xvfb 是否运行
tail -20 ~/xiaohongshu-mcp/mcp.log # 查看日志
lsof -i :18060                     # 检查端口