marketing-pipeline-share-content-automation

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English

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Chinese

Marketing Pipeline Share - Content Automation Skill

Marketing Pipeline Share - 内容自动化技能

Skill by ara.so — Marketing Skills collection.

由ara.so提供的技能 — 营销技能合集。

Overview

概述

Marketing Pipeline Share is a complete TypeScript-based content automation system that transforms keywords into finished content through AI-powered research, scriptwriting, and video generation. It crawls real-time data from sources like TechCrunch, a16z, Twitter/X, and LinkedIn, then uses Claude 3 or OpenAI to generate multi-format content (articles, videos, infographics) with automatic posting capabilities.

Key capabilities:

Auto-scan research from news sources (last 24h)
AI-powered content generation (Claude/OpenAI) in multiple formats (Toplist, POV, Case Study, How-to)
Bilingual support (English/Vietnamese) with customizable tone
Automatic video rendering with Remotion
Multi-platform optimization (Reels, TikTok, Shorts)

Marketing Pipeline Share 是一个基于TypeScript的完整内容自动化系统，通过AI驱动的调研、脚本撰写和视频生成，将关键词转化为成品内容。它会从TechCrunch、a16z、Twitter/X和LinkedIn等来源抓取实时数据，然后使用Claude 3或OpenAI生成多格式内容（文章、视频、信息图），并具备自动发布功能。

核心功能：

自动扫描新闻来源的调研内容（最近24小时）
基于AI的多格式内容生成（Claude/OpenAI），支持排行榜、观点文、案例研究、教程等类型
双语支持（英语/越南语），可自定义语气风格
借助Remotion实现自动视频渲染
多平台优化（Reels、TikTok、Shorts）

Installation

安装

Prerequisites

前置条件

bash

undefined

bash

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Node.js 18+ required

需要 Node.js 18+ 版本

node --version

pnpm recommended (or npm/yarn)

Clone the repository

克隆仓库

git clone https://github.com/pennydinh/marketing-pineline-share.git cd marketing-pineline-share

Install dependencies

安装依赖

pnpm install

Copy environment template

复制环境变量模板

cp .env.example .env

undefined

cp .env.example .env

undefined

Environment Configuration

环境变量配置

Create

.env

file with required API keys:

bash

undefined

创建

.env

文件并填入所需API密钥：

bash

undefined

AI Models

AI 模型

ANTHROPIC_API_KEY=your_claude_api_key OPENAI_API_KEY=your_openai_api_key

Research APIs

调研相关API

RAPIDAPI_KEY=your_rapidapi_key

Database (if applicable)

数据库（如有需要）

DATABASE_URL=postgresql://user:password@localhost:5432/content_pipeline

Video Rendering

视频渲染

REMOTION_BUCKET=your_s3_bucket_name AWS_ACCESS_KEY_ID=your_aws_key AWS_SECRET_ACCESS_KEY=your_aws_secret

Social Media Auto-Post (optional)

社交媒体自动发布（可选）

FACEBOOK_PAGE_TOKEN=your_fb_token LINKEDIN_ACCESS_TOKEN=your_linkedin_token

undefined

FACEBOOK_PAGE_TOKEN=your_fb_token LINKEDIN_ACCESS_TOKEN=your_linkedin_token

undefined

Run Development Server

启动开发服务器

bash

undefined

bash

undefined

Start Next.js development server

启动 Next.js 开发服务器

pnpm dev

Server runs on http://localhost:3000

服务器运行在 http://localhost:3000

undefined

undefined

Core Architecture

核心架构

Project Structure

项目结构

marketing-pineline-share/
├── src/
│   ├── app/              # Next.js app router pages
│   ├── components/       # React components
│   ├── lib/
│   │   ├── ai/          # AI integration (Claude, OpenAI)
│   │   ├── research/    # Web crawling & data extraction
│   │   ├── content/     # Content generation logic
│   │   └── video/       # Remotion video rendering
│   ├── services/        # API services
│   └── utils/           # Helper functions
├── remotion/            # Video templates
└── public/              # Static assets

marketing-pineline-share/
├── src/
│   ├── app/              # Next.js app router 页面
│   ├── components/       # React 组件
│   ├── lib/
│   │   ├── ai/          # AI 集成（Claude、OpenAI）
│   │   ├── research/    # 网页抓取与数据提取
│   │   ├── content/     # 内容生成逻辑
│   │   └── video/       # Remotion 视频渲染
│   ├── services/        # API 服务
│   └── utils/           # 辅助函数
├── remotion/            # 视频模板
└── public/              # 静态资源

Key Features & Usage

核心功能与使用方法

1. Research Auto-Scan

1. 调研自动扫描

Crawl latest news from multiple sources:

typescript

import { scanSources } from '@/lib/research/scanner';
import { extractInsights } from '@/lib/research/insights';

async function performResearch(keyword: string) {
  // Scan sources from last 24 hours
  const sources = ['techcrunch', 'a16z', 'twitter', 'linkedin'];
  
  const rawData = await scanSources({
    keyword,
    sources,
    timeRange: '24h'
  });
  
  // Extract actionable insights
  const insights = await extractInsights(rawData, {
    minRelevance: 0.7,
    includeStats: true,
    language: 'en'
  });
  
  return insights;
}

// Usage
const data = await performResearch('AI automation');
console.log(data.articles); // Crawled articles
console.log(data.trends);   // Identified trends
console.log(data.stats);    // Data points & metrics

从多个来源抓取最新新闻：

typescript

import { scanSources } from '@/lib/research/scanner';
import { extractInsights } from '@/lib/research/insights';

async function performResearch(keyword: string) {
  // 扫描最近24小时的来源内容
  const sources = ['techcrunch', 'a16z', 'twitter', 'linkedin'];
  
  const rawData = await scanSources({
    keyword,
    sources,
    timeRange: '24h'
  });
  
  // 提取可落地的洞察信息
  const insights = await extractInsights(rawData, {
    minRelevance: 0.7,
    includeStats: true,
    language: 'en'
  });
  
  return insights;
}

// 使用示例
const data = await performResearch('AI automation');
console.log(data.articles); // 抓取到的文章
console.log(data.trends);   # 识别出的趋势
console.log(data.stats);    # 数据点与指标

2. AI Content Generation

2. AI内容生成

Generate content using Claude or OpenAI:

typescript

import { generateContent } from '@/lib/ai/content-generator';
import { ContentFormat, ToneStyle } from '@/types';

async function createBlogPost(keyword: string, insights: any) {
  const content = await generateContent({
    keyword,
    insights,
    
    // Format options
    format: ContentFormat.CASE_STUDY, // or TOPLIST, POV, HOW_TO
    
    // Language & tone
    language: 'vi', // 'en' or 'vi'
    tone: ToneStyle.PROFESSIONAL, // FRIENDLY, HUMOROUS, EXPERT
    
    // AI provider
    provider: 'claude', // or 'openai'
    model: 'claude-3-sonnet-20240229',
    
    // Content parameters
    wordCount: 1500,
    includeImages: true,
    includeSEO: true
  });
  
  return {
    title: content.title,
    body: content.body,
    meta: content.seoMetadata,
    images: content.suggestedImages,
    cta: content.callToAction
  };
}

使用Claude或OpenAI生成内容：

typescript

import { generateContent } from '@/lib/ai/content-generator';
import { ContentFormat, ToneStyle } from '@/types';

async function createBlogPost(keyword: string, insights: any) {
  const content = await generateContent({
    keyword,
    insights,
    
    // 格式选项
    format: ContentFormat.CASE_STUDY, // 也可选 TOPLIST、POV、HOW_TO
    
    // 语言与语气
    language: 'vi', // 'en' 或 'vi'
    tone: ToneStyle.PROFESSIONAL, // 可选 FRIENDLY、HUMOROUS、EXPERT
    
    // AI 提供商
    provider: 'claude', // 也可选 'openai'
    model: 'claude-3-sonnet-20240229',
    
    // 内容参数
    wordCount: 1500,
    includeImages: true,
    includeSEO: true
  });
  
  return {
    title: content.title,
    body: content.body,
    meta: content.seoMetadata,
    images: content.suggestedImages,
    cta: content.callToAction
  };
}

3. Bilingual Content Generation

3. 双语内容生成

Create parallel English and Vietnamese versions:

typescript

import { generateBilingual } from '@/lib/content/bilingual';

async function createBilingualPost(keyword: string) {
  const { english, vietnamese } = await generateBilingual({
    keyword,
    format: 'toplist',
    tone: 'friendly',
    
    // Shared context
    research: await performResearch(keyword),
    
    // Language-specific customization
    enConfig: {
      targetAudience: 'international marketers',
      useImperial: true
    },
    viConfig: {
      targetAudience: 'doanh nghiệp Việt Nam',
      useLocalExamples: true
    }
  });
  
  return { english, vietnamese };
}

创建英文和越南语并行版本：

typescript

import { generateBilingual } from '@/lib/content/bilingual';

async function createBilingualPost(keyword: string) {
  const { english, vietnamese } = await generateBilingual({
    keyword,
    format: 'toplist',
    tone: 'friendly',
    
    // 共享上下文
    research: await performResearch(keyword),
    
    // 语言专属配置
    enConfig: {
      targetAudience: 'international marketers',
      useImperial: true
    },
    viConfig: {
      targetAudience: 'doanh nghiệp Việt Nam',
      useLocalExamples: true
    }
  });
  
  return { english, vietnamese };
}

4. Video Rendering with Remotion

4. 借助Remotion实现视频渲染

Generate videos from content:

typescript

import { renderVideo } from '@/lib/video/renderer';
import { VideoTemplate } from '@/remotion/templates';

async function createContentVideo(content: any) {
  const videoConfig = {
    template: VideoTemplate.INFOGRAPHIC, // or SHORT_FORM, TUTORIAL
    
    // Content data
    title: content.title,
    keyPoints: content.highlights,
    statistics: content.stats,
    
    // Visual settings
    aspectRatio: '9:16', // For Reels/TikTok/Shorts
    duration: 60, // seconds
    
    // Branding
    logo: '/assets/logo.png',
    colorScheme: {
      primary: '#3B82F6',
      secondary: '#10B981',
      background: '#1F2937'
    },
    
    // Audio
    voiceover: content.voiceoverScript,
    backgroundMusic: 'upbeat-corporate'
  };
  
  const video = await renderVideo(videoConfig);
  
  return {
    url: video.publicUrl,
    thumbnail: video.thumbnailUrl,
    metadata: video.metadata
  };
}

从内容生成视频：

typescript

import { renderVideo } from '@/lib/video/renderer';
import { VideoTemplate } from '@/remotion/templates';

async function createContentVideo(content: any) {
  const videoConfig = {
    template: VideoTemplate.INFOGRAPHIC, // 也可选 SHORT_FORM、TUTORIAL
    
    // 内容数据
    title: content.title,
    keyPoints: content.highlights,
    statistics: content.stats,
    
    // 视觉设置
    aspectRatio: '9:16', // 适配 Reels/TikTok/Shorts
    duration: 60, // 秒
    
    // 品牌设置
    logo: '/assets/logo.png',
    colorScheme: {
      primary: '#3B82F6',
      secondary: '#10B981',
      background: '#1F2937'
    },
    
    // 音频设置
    voiceover: content.voiceoverScript,
    backgroundMusic: 'upbeat-corporate'
  };
  
  const video = await renderVideo(videoConfig);
  
  return {
    url: video.publicUrl,
    thumbnail: video.thumbnailUrl,
    metadata: video.metadata
  };
}

5. Complete Pipeline Example

5. 完整流水线示例

Full workflow from keyword to published content:

typescript

import { ContentPipeline } from '@/lib/pipeline';

async function runCompletePipeline() {
  const pipeline = new ContentPipeline({
    aiProvider: 'claude',
    autoPost: true,
    platforms: ['facebook', 'linkedin']
  });
  
  // Execute full pipeline
  const result = await pipeline.execute({
    keyword: 'AI marketing automation 2026',
    
    // Research phase
    research: {
      sources: ['techcrunch', 'twitter'],
      timeRange: '24h',
      minArticles: 10
    },
    
    // Content generation phase
    content: {
      formats: ['article', 'video'],
      languages: ['en', 'vi'],
      tone: 'expert'
    },
    
    // Video rendering phase
    video: {
      enabled: true,
      templates: ['infographic', 'short-form'],
      aspectRatios: ['9:16', '1:1']
    },
    
    // Publishing phase
    publish: {
      schedule: new Date('2026-06-01T10:00:00Z'),
      platforms: {
        facebook: {
          pageId: process.env.FB_PAGE_ID,
          includeVideo: true
        },
        linkedin: {
          companyId: process.env.LINKEDIN_COMPANY_ID,
          includeArticle: true
        }
      }
    }
  });
  
  return {
    researchData: result.research,
    generatedContent: result.content,
    renderedVideos: result.videos,
    publishedPosts: result.published
  };
}

从关键词到发布内容的全流程：

typescript

import { ContentPipeline } from '@/lib/pipeline';

async function runCompletePipeline() {
  const pipeline = new ContentPipeline({
    aiProvider: 'claude',
    autoPost: true,
    platforms: ['facebook', 'linkedin']
  });
  
  // 执行完整流水线
  const result = await pipeline.execute({
    keyword: 'AI marketing automation 2026',
    
    // 调研阶段
    research: {
      sources: ['techcrunch', 'twitter'],
      timeRange: '24h',
      minArticles: 10
    },
    
    // 内容生成阶段
    content: {
      formats: ['article', 'video'],
      languages: ['en', 'vi'],
      tone: 'expert'
    },
    
    // 视频渲染阶段
    video: {
      enabled: true,
      templates: ['infographic', 'short-form'],
      aspectRatios: ['9:16', '1:1']
    },
    
    // 发布阶段
    publish: {
      schedule: new Date('2026-06-01T10:00:00Z'),
      platforms: {
        facebook: {
          pageId: process.env.FB_PAGE_ID,
          includeVideo: true
        },
        linkedin: {
          companyId: process.env.LINKEDIN_COMPANY_ID,
          includeArticle: true
        }
      }
    }
  });
  
  return {
    researchData: result.research,
    generatedContent: result.content,
    renderedVideos: result.videos,
    publishedPosts: result.published
  };
}

API Routes

API 路由

Content Generation Endpoint

内容生成端点

typescript

// src/app/api/generate/route.ts
import { NextRequest, NextResponse } from 'next/server';
import { generateContent } from '@/lib/ai/content-generator';

export async function POST(request: NextRequest) {
  const { keyword, format, language } = await request.json();
  
  try {
    const content = await generateContent({
      keyword,
      format,
      language,
      provider: 'claude'
    });
    
    return NextResponse.json({ success: true, content });
  } catch (error) {
    return NextResponse.json(
      { success: false, error: error.message },
      { status: 500 }
    );
  }
}

typescript

// src/app/api/generate/route.ts
import { NextRequest, NextResponse } from 'next/server';
import { generateContent } from '@/lib/ai/content-generator';

export async function POST(request: NextRequest) {
  const { keyword, format, language } = await request.json();
  
  try {
    const content = await generateContent({
      keyword,
      format,
      language,
      provider: 'claude'
    });
    
    return NextResponse.json({ success: true, content });
  } catch (error) {
    return NextResponse.json(
      { success: false, error: error.message },
      { status: 500 }
    );
  }
}

Video Rendering Endpoint

视频渲染端点

typescript

// src/app/api/render-video/route.ts
import { NextRequest, NextResponse } from 'next/server';
import { renderVideo } from '@/lib/video/renderer';

export async function POST(request: NextRequest) {
  const { contentId, template, aspectRatio } = await request.json();
  
  const video = await renderVideo({
    contentId,
    template,
    aspectRatio,
    outputBucket: process.env.REMOTION_BUCKET
  });
  
  return NextResponse.json({ videoUrl: video.publicUrl });
}

typescript

// src/app/api/render-video/route.ts
import { NextRequest, NextResponse } from 'next/server';
import { renderVideo } from '@/lib/video/renderer';

export async function POST(request: NextRequest) {
  const { contentId, template, aspectRatio } = await request.json();
  
  const video = await renderVideo({
    contentId,
    template,
    aspectRatio,
    outputBucket: process.env.REMOTION_BUCKET
  });
  
  return NextResponse.json({ videoUrl: video.publicUrl });
}

Common Patterns

常见模式

Custom Content Templates

自定义内容模板

typescript

// Define custom content template
interface CustomTemplate {
  structure: string[];
  sections: Record<string, string>;
  style: string;
}

const caseStudyTemplate: CustomTemplate = {
  structure: [
    'introduction',
    'challenge',
    'solution',
    'results',
    'conclusion'
  ],
  sections: {
    introduction: 'Hook with problem statement',
    challenge: 'Detail the specific challenges faced',
    solution: 'Explain implementation with steps',
    results: 'Present data-backed outcomes',
    conclusion: 'Key takeaways and CTA'
  },
  style: 'professional'
};

// Use template in generation
const content = await generateContent({
  keyword: 'marketing automation success',
  template: caseStudyTemplate,
  provider: 'claude'
});

typescript

// 定义自定义内容模板
interface CustomTemplate {
  structure: string[];
  sections: Record<string, string>;
  style: string;
}

const caseStudyTemplate: CustomTemplate = {
  structure: [
    'introduction',
    'challenge',
    'solution',
    'results',
    'conclusion'
  ],
  sections: {
    introduction: 'Hook with problem statement',
    challenge: 'Detail the specific challenges faced',
    solution: 'Explain implementation with steps',
    results: 'Present data-backed outcomes',
    conclusion: 'Key takeaways and CTA'
  },
  style: 'professional'
};

// 在生成时使用模板
const content = await generateContent({
  keyword: 'marketing automation success',
  template: caseStudyTemplate,
  provider: 'claude'
});

Batch Processing

批量处理

typescript

import { batchProcess } from '@/lib/utils/batch';

async function generateMultipleContent(keywords: string[]) {
  const results = await batchProcess(keywords, async (keyword) => {
    const research = await performResearch(keyword);
    const content = await createBlogPost(keyword, research);
    const video = await createContentVideo(content);
    
    return { keyword, content, video };
  }, {
    concurrency: 3, // Process 3 at a time
    retries: 2
  });
  
  return results;
}

typescript

import { batchProcess } from '@/lib/utils/batch';

async function generateMultipleContent(keywords: string[]) {
  const results = await batchProcess(keywords, async (keyword) => {
    const research = await performResearch(keyword);
    const content = await createBlogPost(keyword, research);
    const video = await createContentVideo(content);
    
    return { keyword, content, video };
  }, {
    concurrency: 3, // 同时处理3个任务
    retries: 2
  });
  
  return results;
}

Scheduled Content Calendar

定时内容日历

typescript

import { scheduleContent } from '@/lib/scheduling/calendar';

async function setupContentCalendar(keywords: string[]) {
  const calendar = await scheduleContent({
    keywords,
    frequency: 'daily', // daily, weekly, monthly
    time: '10:00',
    timezone: 'Asia/Ho_Chi_Minh',
    
    platforms: ['facebook', 'linkedin'],
    
    // Auto-generate content on schedule
    autoGenerate: true,
    
    // Content variety
    formatRotation: ['article', 'toplist', 'case-study']
  });
  
  return calendar;
}

typescript

import { scheduleContent } from '@/lib/scheduling/calendar';

async function setupContentCalendar(keywords: string[]) {
  const calendar = await scheduleContent({
    keywords,
    frequency: 'daily', // daily、weekly、monthly
    time: '10:00',
    timezone: 'Asia/Ho_Chi_Minh',
    
    platforms: ['facebook', 'linkedin'],
    
    // 定时自动生成内容
    autoGenerate: true,
    
    // 内容类型轮换
    formatRotation: ['article', 'toplist', 'case-study']
  });
  
  return calendar;
}

Troubleshooting

故障排除

API Rate Limits

API 速率限制

typescript

// Implement rate limiting and retry logic
import { withRetry } from '@/lib/utils/retry';

const content = await withRetry(
  () => generateContent({ keyword, provider: 'claude' }),
  {
    maxRetries: 3,
    delayMs: 2000,
    backoff: 'exponential',
    onRetry: (attempt) => console.log(`Retry attempt ${attempt}`)
  }
);

typescript

// 实现速率限制与重试逻辑
import { withRetry } from '@/lib/utils/retry';

const content = await withRetry(
  () => generateContent({ keyword, provider: 'claude' }),
  {
    maxRetries: 3,
    delayMs: 2000,
    backoff: 'exponential',
    onRetry: (attempt) => console.log(`Retry attempt ${attempt}`)
  }
);

Video Rendering Issues

视频渲染问题

typescript

// Debug video rendering
import { validateVideoConfig } from '@/lib/video/validator';

const config = {
  template: 'infographic',
  aspectRatio: '9:16'
};

const validation = validateVideoConfig(config);
if (!validation.valid) {
  console.error('Invalid config:', validation.errors);
  // Fix issues before rendering
}

typescript

// 调试视频渲染
import { validateVideoConfig } from '@/lib/video/validator';

const config = {
  template: 'infographic',
  aspectRatio: '9:16'
};

const validation = validateVideoConfig(config);
if (!validation.valid) {
  console.error('Invalid config:', validation.errors);
  // 渲染前修复问题
}

Content Quality Check

内容质量检查

typescript

import { validateContent } from '@/lib/content/validator';

const content = await generateContent({ keyword });

const quality = await validateContent(content, {
  minWordCount: 1000,
  checkGrammar: true,
  checkPlagiarism: true,
  requireImages: true
});

if (!quality.passed) {
  console.log('Issues found:', quality.issues);
  // Regenerate or manually fix
}

typescript

import { validateContent } from '@/lib/content/validator';

const content = await generateContent({ keyword });

const quality = await validateContent(content, {
  minWordCount: 1000,
  checkGrammar: true,
  checkPlagiarism: true,
  requireImages: true
});

if (!quality.passed) {
  console.log('Issues found:', quality.issues);
  // 重新生成或手动修复
}

Memory Issues with Large Batches

大批次处理内存问题

typescript

// Use streaming for large datasets
import { createReadStream } from 'fs';
import { pipeline } from 'stream/promises';

async function processLargeKeywordList(filePath: string) {
  const stream = createReadStream(filePath, { encoding: 'utf-8' });
  
  await pipeline(
    stream,
    async function* (source) {
      for await (const chunk of source) {
        const keywords = chunk.split('\n');
        for (const keyword of keywords) {
          yield await generateContent({ keyword });
        }
      }
    },
    async function (contents) {
      for await (const content of contents) {
        await saveContent(content);
      }
    }
  );
}

typescript

// 对大型数据集使用流式处理
import { createReadStream } from 'fs';
import { pipeline } from 'stream/promises';

async function processLargeKeywordList(filePath: string) {
  const stream = createReadStream(filePath, { encoding: 'utf-8' });
  
  await pipeline(
    stream,
    async function* (source) {
      for await (const chunk of source) {
        const keywords = chunk.split('\n');
        for (const keyword of keywords) {
          yield await generateContent({ keyword });
        }
      }
    },
    async function (contents) {
      for await (const content of contents) {
        await saveContent(content);
      }
    }
  );
}

Advanced Configuration

高级配置

Custom AI Model Settings

自定义AI模型设置

typescript

// Fine-tune AI behavior
const customSettings = {
  temperature: 0.7, // Creativity (0-1)
  maxTokens: 2000,
  topP: 0.9,
  frequencyPenalty: 0.5,
  presencePenalty: 0.5,
  
  // Custom system prompts
  systemPrompt: `You are an expert marketing content creator...`,
  
  // Context management
  includeResearch: true,
  contextWindow: 8000
};

const content = await generateContent({
  keyword,
  provider: 'openai',
  modelSettings: customSettings
});

This skill enables AI coding agents to help developers build, customize, and troubleshoot complete content automation pipelines using the Marketing Pipeline Share system.

typescript

// 微调AI行为
const customSettings = {
  temperature: 0.7, // 创意程度（0-1）
  maxTokens: 2000,
  topP: 0.9,
  frequencyPenalty: 0.5,
  presencePenalty: 0.5,
  
  // 自定义系统提示词
  systemPrompt: `You are an expert marketing content creator...`,
  
  // 上下文管理
  includeResearch: true,
  contextWindow: 8000
};

const content = await generateContent({
  keyword,
  provider: 'openai',
  modelSettings: customSettings
});

该技能可让AI编码助手帮助开发者基于Marketing Pipeline Share系统构建、自定义和排查完整的内容自动化流水线。

marketing-pipeline-share-content-automation

Original

Translation

Marketing Pipeline Share - Content Automation Skill

Marketing Pipeline Share - 内容自动化技能

Overview

概述

Installation

安装

Prerequisites

前置条件

Node.js 18+ required

需要 Node.js 18+ 版本

pnpm recommended (or npm/yarn)

推荐使用 pnpm（也可使用 npm/yarn）

Setup

设置步骤

Clone the repository

克隆仓库

Install dependencies

安装依赖

Copy environment template

复制环境变量模板

Environment Configuration

环境变量配置

AI Models

AI 模型

Research APIs

调研相关API

Database (if applicable)

数据库（如有需要）

Video Rendering

视频渲染

Social Media Auto-Post (optional)

社交媒体自动发布（可选）

Run Development Server

启动开发服务器

Start Next.js development server

启动 Next.js 开发服务器

Server runs on http://localhost:3000

服务器运行在 http://localhost:3000

Core Architecture

核心架构

Project Structure

项目结构

Key Features & Usage

核心功能与使用方法

1. Research Auto-Scan

1. 调研自动扫描

2. AI Content Generation

2. AI内容生成

3. Bilingual Content Generation

3. 双语内容生成

4. Video Rendering with Remotion

4. 借助Remotion实现视频渲染

5. Complete Pipeline Example

5. 完整流水线示例

API Routes

API 路由

Content Generation Endpoint

内容生成端点

Video Rendering Endpoint

视频渲染端点

Common Patterns

常见模式

Custom Content Templates

自定义内容模板

Batch Processing

批量处理

Scheduled Content Calendar

定时内容日历

Troubleshooting

故障排除

API Rate Limits

API 速率限制

Video Rendering Issues

视频渲染问题

Content Quality Check

内容质量检查

Memory Issues with Large Batches