content-pipeline-architect

name	content-pipeline-architect
description	Design and build automated content production pipelines. Takes a topic, brand voice, and target platforms, then generates a complete content calendar, platform-optimized posts, and an automation workflow plan. Ideal for social media, YouTube, blogs, and newsletters.

Content Pipeline Architect

Design a complete automated content production pipeline from a single topic or brief, producing platform-specific content and an automation plan.

Steps

1. Gather Requirements

Collect the following from the user (ask if not provided):

• Topic or brief: What the content is about
• Brand voice: Professional, casual, technical, friendly, authoritative, etc.
• Target platforms: Which subset of: Twitter/X, LinkedIn, Instagram, YouTube, Blog, Newsletter, TikTok
• Cadence: How often content should be published (daily, 3x/week, weekly)
• Content pillars: 3-5 recurring themes or categories (ask user to define, or suggest based on topic)

If the user gives a minimal brief (e.g., "content about AI tools"), infer reasonable defaults and state your assumptions.

2. Generate Content Calendar

Create a 2-week content calendar in table format:

## Content Calendar (Week 1-2)

| Day | Platform | Content Type | Topic/Angle | Content Pillar |
|-----|----------|-------------|-------------|----------------|
| Mon | Twitter  | Thread (5-7) | [specific angle] | [pillar] |
| Mon | LinkedIn | Article      | [specific angle] | [pillar] |
| Tue | Blog     | Long-form    | [specific angle] | [pillar] |
| ...

Rules for the calendar:

• Vary content types: Mix threads, single posts, carousels, long-form, short-form, video scripts
• Cross-pollinate: Repurpose one piece across platforms (e.g., blog → Twitter thread → LinkedIn post)
• 80/20 rule: 80% value-giving content, 20% promotional
• Platform-native: Each platform gets content formatted for its norms and algorithm preferences

3. Generate Platform-Specific Content

For each entry in the calendar, produce the actual content:

Twitter/X

• Thread format: Hook tweet + 4-6 value tweets + CTA tweet
• Each tweet under 280 characters
• Use line breaks for readability
• End with a call to action (follow, reply, retweet)

LinkedIn

• Professional tone, 150-300 words
• Hook in first 2 lines (before "see more" fold)
• Use line breaks every 1-2 sentences
• End with a question to drive engagement
• 3-5 relevant hashtags

Instagram

• Caption: Hook + value + CTA, 150-200 words
• Include carousel slide text if applicable (8-10 slides, 1 key point per slide)
• 20-30 hashtags (mix of broad, niche, branded)

YouTube

• Title (60 chars max, keyword-rich)
• Description (200+ words, timestamps, links)
• Script outline: Hook (0-30s) → Problem (30-90s) → Solution (90-300s) → CTA (300-330s)
• 5 tags

Blog

• SEO-optimized title (60 chars)
• Meta description (155 chars)
• Outline with H2/H3 headers
• Target word count: 1,200-2,000 words
• Internal/external linking suggestions

Newsletter

• Subject line (50 chars, curiosity-driven)
• Preview text (90 chars)
• Sections: Hook → Main content → Quick wins → CTA
• Target: 500-800 words

4. Build Automation Workflow Plan

Design the automation pipeline using n8n (or similar):

## Automation Workflow

### Trigger
- [Schedule/webhook/manual trigger]

### Pipeline Steps
1. **Content Generation**: [AI model] generates drafts from content calendar
2. **Review Queue**: Drafts go to [Slack/email/Notion] for human review
3. **Approval Gate**: Approved → schedule, Rejected → revision loop
4. **Platform Publishing**:
   - Twitter: via Twitter API v2
   - LinkedIn: via LinkedIn API
   - Instagram: via Meta Graph API (or Buffer/Later)
   - YouTube: via YouTube Data API
   - Blog: via CMS API (WordPress/Ghost/Webflow)
   - Newsletter: via Mailchimp/ConvertKit API
5. **Analytics Collection**: Pull engagement metrics 24h/48h/7d after publish
6. **Performance Report**: Weekly summary of best/worst performing content

### Required API Keys
- [List each platform's API/OAuth requirements]

### n8n Nodes
- Schedule Trigger → HTTP Request (AI API) → IF (approval) → HTTP Request (platform APIs) → Wait → HTTP Request (analytics)

5. Output Deliverables Summary

Provide a final summary:

## Pipeline Summary

**Content produced**: X pieces across Y platforms
**Cadence**: [schedule]
**Automation level**: [fully automated / semi-automated with review gate / manual with templates]

### Deliverables
1. Content Calendar (2-week plan)
2. Platform-specific content (ready to post)
3. Automation workflow design (n8n-compatible)
4. API integration requirements

### Next Steps
- [ ] Set up API keys for target platforms
- [ ] Import n8n workflow template
- [ ] Review and customize generated content
- [ ] Schedule first batch

Edge Cases

• Single platform only: Skip the cross-platform repurposing. Go deeper on that one platform with more varied content types.
• No brand voice defined: Default to "professional but approachable" and state the assumption.
• B2B vs B2C: Adjust tone, platform priority, and content depth based on audience type.
• Regulated industries: Add compliance review step to the automation pipeline.
• Large volume (daily across 5+ platforms): Recommend a content batching strategy — produce a week's content in one session, then schedule.