Content pipeline architect
Skill xmqywx/claude-code-skills/skills/content-pipeline-architect
17 professional Claude Code skills - code review, API scaffold, n8n workflow generator, and more
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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.
SKILL.md
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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)
- 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
- 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.