--- 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.