marketing-pipeline-share-automation

Original：🇺🇸 English

Translated

Full-stack AI content pipeline for automated research, script generation, Facebook posting, and video rendering using Claude/OpenAI and Remotion

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Sourcearadotso/marketing-skills

Added on2026-05-29

NPX Install

npx skill4agent add aradotso/marketing-skills marketing-pipeline-share-automation

SKILL.md Content

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Marketing Pipeline Share Automation

Skill by ara.so — Marketing Skills collection.

This skill enables AI coding agents to work with marketing-pipeline-share, a complete AI-powered content automation system that handles research (web crawling), script generation (Claude/OpenAI), Facebook auto-posting, and video rendering (Remotion). It's designed for marketers and content creators who want to automate their entire content workflow from keyword input to published video.

What This Project Does

Marketing Pipeline Share is a TypeScript/Next.js application that automates the complete content creation pipeline:

Auto-Research: Crawls news sources (TechCrunch, a16z, Twitter, LinkedIn) for recent data
AI Content Generation: Uses Claude 3 or OpenAI to generate articles in multiple formats (toplist, POV, case study, how-to)
Multi-language Support: Generates content in both English and Vietnamese
Auto-Posting: Publishes directly to Facebook pages
Video Rendering: Converts content to videos/infographics using Remotion for Reels/TikTok/Shorts

Installation

bash

# Clone the repository
git clone https://github.com/pennydinh/marketing-pineline-share.git
cd marketing-pineline-share

# Install dependencies
npm install
# or
yarn install

# Copy environment template
cp .env.example .env.local

Configuration

Set up your environment variables in

.env.local

bash

# AI Provider APIs
ANTHROPIC_API_KEY=your_claude_api_key
OPENAI_API_KEY=your_openai_api_key

# Research/Crawling APIs
RAPIDAPI_KEY=your_rapidapi_key
RAPIDAPI_HOST=news-api-host

# Facebook Integration
FACEBOOK_PAGE_ACCESS_TOKEN=your_fb_page_token
FACEBOOK_PAGE_ID=your_page_id

# Remotion Configuration
REMOTION_CLOUDRUN_URL=your_cloudrun_url
REMOTION_API_KEY=your_remotion_key

# Application
NEXT_PUBLIC_APP_URL=http://localhost:3000

Key Architecture

typescript

// Typical project structure
src/
├── app/                    # Next.js app directory
│   ├── api/               # API routes
│   │   ├── research/      # News crawling endpoints
│   │   ├── generate/      # AI content generation
│   │   ├── post/          # Facebook posting
│   │   └── render/        # Video rendering
│   └── dashboard/         # UI components
├── lib/
│   ├── ai/                # AI provider integrations
│   ├── crawlers/          # Web scraping utilities
│   ├── facebook/          # FB API integration
│   └── remotion/          # Video rendering logic
└── types/                 # TypeScript definitions

Core Usage Patterns

1. Research & Content Generation Flow

typescript

// lib/ai/content-generator.ts
import Anthropic from '@anthropic-ai/sdk';
import OpenAI from 'openai';

export interface ContentRequest {
  keyword: string;
  format: 'toplist' | 'pov' | 'case-study' | 'how-to';
  language: 'en' | 'vi';
  tone: 'expert' | 'friendly' | 'humorous';
  researchData?: any[];
}

export class ContentGenerator {
  private claude: Anthropic;
  private openai: OpenAI;

  constructor() {
    this.claude = new Anthropic({
      apiKey: process.env.ANTHROPIC_API_KEY,
    });
    this.openai = new OpenAI({
      apiKey: process.env.OPENAI_API_KEY,
    });
  }

  async generateWithClaude(request: ContentRequest): Promise<string> {
    const prompt = this.buildPrompt(request);
    
    const message = await this.claude.messages.create({
      model: 'claude-3-5-sonnet-20241022',
      max_tokens: 4096,
      messages: [{
        role: 'user',
        content: prompt
      }]
    });

    return message.content[0].type === 'text' 
      ? message.content[0].text 
      : '';
  }

  async generateWithOpenAI(request: ContentRequest): Promise<string> {
    const prompt = this.buildPrompt(request);
    
    const completion = await this.openai.chat.completions.create({
      model: 'gpt-4-turbo',
      messages: [{
        role: 'user',
        content: prompt
      }],
      temperature: 0.7,
    });

    return completion.choices[0].message.content || '';
  }

  private buildPrompt(request: ContentRequest): string {
    const { keyword, format, language, tone, researchData } = request;
    
    let prompt = `Create a ${format} article about "${keyword}" in ${language}.`;
    prompt += `\nTone: ${tone}`;
    
    if (researchData && researchData.length > 0) {
      prompt += `\n\nRecent research data:\n`;
      researchData.forEach((item, idx) => {
        prompt += `${idx + 1}. ${item.title}\n${item.summary}\n`;
      });
    }
    
    return prompt;
  }
}

2. News Crawling/Research System

typescript

// lib/crawlers/news-crawler.ts
import axios from 'axios';

export interface NewsArticle {
  title: string;
  url: string;
  source: string;
  publishedAt: string;
  summary: string;
}

export class NewsCrawler {
  private rapidApiKey: string;
  private rapidApiHost: string;

  constructor() {
    this.rapidApiKey = process.env.RAPIDAPI_KEY!;
    this.rapidApiHost = process.env.RAPIDAPI_HOST!;
  }

  async crawlRecentNews(keyword: string, hours: number = 24): Promise<NewsArticle[]> {
    try {
      const response = await axios.get('https://api.rapidapi.com/v1/news/search', {
        params: {
          q: keyword,
          from: this.getTimeRange(hours),
          sortBy: 'publishedAt',
          language: 'en'
        },
        headers: {
          'X-RapidAPI-Key': this.rapidApiKey,
          'X-RapidAPI-Host': this.rapidApiHost
        }
      });

      return response.data.articles.map((article: any) => ({
        title: article.title,
        url: article.url,
        source: article.source.name,
        publishedAt: article.publishedAt,
        summary: article.description || ''
      }));
    } catch (error) {
      console.error('News crawling error:', error);
      return [];
    }
  }

  private getTimeRange(hours: number): string {
    const date = new Date();
    date.setHours(date.getHours() - hours);
    return date.toISOString();
  }

  async crawlMultipleSources(keyword: string): Promise<NewsArticle[]> {
    // Crawl from TechCrunch, a16z, etc.
    const sources = ['techcrunch', 'a16z-blog'];
    const allArticles: NewsArticle[] = [];

    for (const source of sources) {
      const articles = await this.crawlRecentNews(`${keyword} site:${source}`, 24);
      allArticles.push(...articles);
    }

    return allArticles;
  }
}

3. API Route Example - Generate Content

typescript

// app/api/generate/route.ts
import { NextRequest, NextResponse } from 'next/server';
import { ContentGenerator } from '@/lib/ai/content-generator';
import { NewsCrawler } from '@/lib/crawlers/news-crawler';

export async function POST(request: NextRequest) {
  try {
    const body = await request.json();
    const { keyword, format, language, tone, useResearch, aiProvider } = body;

    let researchData = [];
    
    if (useResearch) {
      const crawler = new NewsCrawler();
      researchData = await crawler.crawlMultipleSources(keyword);
    }

    const generator = new ContentGenerator();
    let content: string;

    if (aiProvider === 'claude') {
      content = await generator.generateWithClaude({
        keyword,
        format,
        language,
        tone,
        researchData
      });
    } else {
      content = await generator.generateWithOpenAI({
        keyword,
        format,
        language,
        tone,
        researchData
      });
    }

    return NextResponse.json({
      success: true,
      content,
      researchCount: researchData.length
    });
  } catch (error: any) {
    return NextResponse.json(
      { success: false, error: error.message },
      { status: 500 }
    );
  }
}

4. Facebook Auto-Posting

typescript

// lib/facebook/post-manager.ts
import axios from 'axios';

export interface FacebookPost {
  message: string;
  link?: string;
  imageUrl?: string;
}

export class FacebookPostManager {
  private pageAccessToken: string;
  private pageId: string;

  constructor() {
    this.pageAccessToken = process.env.FACEBOOK_PAGE_ACCESS_TOKEN!;
    this.pageId = process.env.FACEBOOK_PAGE_ID!;
  }

  async publishPost(post: FacebookPost): Promise<string> {
    try {
      const endpoint = `https://graph.facebook.com/v18.0/${this.pageId}/feed`;
      
      const response = await axios.post(endpoint, {
        message: post.message,
        link: post.link,
        access_token: this.pageAccessToken
      });

      return response.data.id;
    } catch (error: any) {
      throw new Error(`Facebook posting failed: ${error.response?.data?.error?.message || error.message}`);
    }
  }

  async publishPhoto(post: FacebookPost): Promise<string> {
    if (!post.imageUrl) {
      throw new Error('Image URL required for photo post');
    }

    const endpoint = `https://graph.facebook.com/v18.0/${this.pageId}/photos`;
    
    const response = await axios.post(endpoint, {
      url: post.imageUrl,
      caption: post.message,
      access_token: this.pageAccessToken
    });

    return response.data.id;
  }

  async schedulePost(post: FacebookPost, publishTime: Date): Promise<string> {
    const endpoint = `https://graph.facebook.com/v18.0/${this.pageId}/feed`;
    
    const response = await axios.post(endpoint, {
      message: post.message,
      link: post.link,
      published: false,
      scheduled_publish_time: Math.floor(publishTime.getTime() / 1000),
      access_token: this.pageAccessToken
    });

    return response.data.id;
  }
}

5. Video Rendering with Remotion

typescript

// lib/remotion/video-renderer.ts
import { bundle } from '@remotion/bundler';
import { renderMedia, selectComposition } from '@remotion/renderer';
import { webpackOverride } from './webpack-override';

export interface VideoConfig {
  title: string;
  content: string[];
  duration: number;
  format: 'reels' | 'tiktok' | 'shorts';
}

export class VideoRenderer {
  async renderContentVideo(config: VideoConfig): Promise<string> {
    const bundled = await bundle({
      entryPoint: './src/remotion/index.ts',
      webpackOverride: webpackOverride,
    });

    const composition = await selectComposition({
      serveUrl: bundled,
      id: 'ContentVideo',
      inputProps: {
        title: config.title,
        content: config.content,
        format: config.format
      },
    });

    const outputLocation = `./output/video-${Date.now()}.mp4`;

    await renderMedia({
      composition,
      serveUrl: bundled,
      codec: 'h264',
      outputLocation,
      inputProps: {
        title: config.title,
        content: config.content,
        format: config.format
      },
    });

    return outputLocation;
  }

  getAspectRatio(format: string): { width: number; height: number } {
    switch (format) {
      case 'reels':
      case 'tiktok':
      case 'shorts':
        return { width: 1080, height: 1920 }; // 9:16
      default:
        return { width: 1920, height: 1080 }; // 16:9
    }
  }
}

6. Complete Pipeline Example

typescript

// lib/pipeline/content-pipeline.ts
import { ContentGenerator } from '@/lib/ai/content-generator';
import { NewsCrawler } from '@/lib/crawlers/news-crawler';
import { FacebookPostManager } from '@/lib/facebook/post-manager';
import { VideoRenderer } from '@/lib/remotion/video-renderer';

export class ContentPipeline {
  private generator: ContentGenerator;
  private crawler: NewsCrawler;
  private fbManager: FacebookPostManager;
  private videoRenderer: VideoRenderer;

  constructor() {
    this.generator = new ContentGenerator();
    this.crawler = new NewsCrawler();
    this.fbManager = new FacebookPostManager();
    this.videoRenderer = new VideoRenderer();
  }

  async executeFullPipeline(keyword: string) {
    console.log('Step 1: Researching...');
    const researchData = await this.crawler.crawlMultipleSources(keyword);

    console.log('Step 2: Generating content...');
    const content = await this.generator.generateWithClaude({
      keyword,
      format: 'toplist',
      language: 'en',
      tone: 'expert',
      researchData
    });

    console.log('Step 3: Rendering video...');
    const videoPath = await this.videoRenderer.renderContentVideo({
      title: keyword,
      content: content.split('\n').filter(line => line.trim()),
      duration: 30,
      format: 'reels'
    });

    console.log('Step 4: Posting to Facebook...');
    const postId = await this.fbManager.publishPost({
      message: `New content about ${keyword}!`,
      link: `https://example.com/videos/${videoPath}`
    });

    return {
      success: true,
      researchCount: researchData.length,
      content,
      videoPath,
      postId
    };
  }
}

7. API Route - Full Pipeline

typescript

// app/api/pipeline/execute/route.ts
import { NextRequest, NextResponse } from 'next/server';
import { ContentPipeline } from '@/lib/pipeline/content-pipeline';

export async function POST(request: NextRequest) {
  try {
    const { keyword } = await request.json();

    if (!keyword) {
      return NextResponse.json(
        { success: false, error: 'Keyword is required' },
        { status: 400 }
      );
    }

    const pipeline = new ContentPipeline();
    const result = await pipeline.executeFullPipeline(keyword);

    return NextResponse.json(result);
  } catch (error: any) {
    return NextResponse.json(
      { success: false, error: error.message },
      { status: 500 }
    );
  }
}

Running the Application

bash

# Development
npm run dev

# Production build
npm run build
npm start

# Run specific pipeline steps
npm run research -- --keyword "AI trends"
npm run generate -- --keyword "AI trends" --format toplist
npm run render -- --input content.json

Common Workflows

Workflow 1: Research-Only Mode

typescript

// Quick research without content generation
import { NewsCrawler } from '@/lib/crawlers/news-crawler';

const crawler = new NewsCrawler();
const articles = await crawler.crawlRecentNews('AI marketing', 48);
console.log(`Found ${articles.length} articles`);

Workflow 2: Multi-Language Content

typescript

// Generate content in both languages
const generator = new ContentGenerator();

const englishContent = await generator.generateWithClaude({
  keyword: 'Marketing automation',
  format: 'how-to',
  language: 'en',
  tone: 'expert'
});

const vietnameseContent = await generator.generateWithClaude({
  keyword: 'Marketing automation',
  format: 'how-to',
  language: 'vi',
  tone: 'friendly'
});

Workflow 3: Scheduled Posting

typescript

// Schedule content for future posting
const fbManager = new FacebookPostManager();
const publishTime = new Date();
publishTime.setHours(publishTime.getHours() + 24);

const postId = await fbManager.schedulePost({
  message: generatedContent,
  link: 'https://example.com/article'
}, publishTime);

Troubleshooting

API Key Issues

typescript

// Verify API keys are loaded
if (!process.env.ANTHROPIC_API_KEY) {
  throw new Error('ANTHROPIC_API_KEY not found in environment');
}

// Test API connection
const testConnection = async () => {
  try {
    const claude = new Anthropic({ apiKey: process.env.ANTHROPIC_API_KEY });
    await claude.messages.create({
      model: 'claude-3-5-sonnet-20241022',
      max_tokens: 10,
      messages: [{ role: 'user', content: 'test' }]
    });
    console.log('✓ Claude API connected');
  } catch (error) {
    console.error('✗ Claude API failed:', error);
  }
};

Rate Limiting

typescript

// Implement retry logic with exponential backoff
async function withRetry<T>(
  fn: () => Promise<T>,
  maxRetries: number = 3
): Promise<T> {
  for (let i = 0; i < maxRetries; i++) {
    try {
      return await fn();
    } catch (error: any) {
      if (error.status === 429 && i < maxRetries - 1) {
        await new Promise(resolve => setTimeout(resolve, Math.pow(2, i) * 1000));
        continue;
      }
      throw error;
    }
  }
  throw new Error('Max retries exceeded');
}

Facebook Posting Errors

typescript

// Debug Facebook API errors
try {
  await fbManager.publishPost(post);
} catch (error: any) {
  if (error.message.includes('access token')) {
    console.error('Facebook token expired or invalid');
    // Refresh token logic here
  } else if (error.message.includes('rate limit')) {
    console.error('Facebook rate limit reached');
    // Queue for later
  } else {
    console.error('Unknown Facebook error:', error);
  }
}

Video Rendering Issues

typescript

// Check Remotion dependencies
import { getCompositions } from '@remotion/renderer';

const checkRemotionSetup = async () => {
  try {
    const compositions = await getCompositions('./src/remotion/index.ts');
    console.log('Available compositions:', compositions.map(c => c.id));
  } catch (error) {
    console.error('Remotion setup error:', error);
  }
};

This skill enables complete automation of content marketing workflows from research through video publication using modern AI tools and TypeScript.

marketing-pipeline-share-automation

NPX Install

Tags

SKILL.md Content

Marketing Pipeline Share Automation

What This Project Does

Installation

Configuration

Key Architecture

Core Usage Patterns

1. Research & Content Generation Flow

2. News Crawling/Research System

3. API Route Example - Generate Content

4. Facebook Auto-Posting

5. Video Rendering with Remotion

6. Complete Pipeline Example

7. API Route - Full Pipeline

Running the Application

Common Workflows

Workflow 1: Research-Only Mode

Workflow 2: Multi-Language Content

Workflow 3: Scheduled Posting

Troubleshooting

API Key Issues

Rate Limiting

Facebook Posting Errors

Video Rendering Issues