smm-content-engine

SKILL.md

SMM Content Engine

AI-powered social media content creation and scheduling for multiple brands across LinkedIn, Twitter/X, Instagram, TikTok, and Facebook -- with multi-brand voice management and engagement tracking.

When to Use

  • "Create a LinkedIn post about [topic]"
  • "Build a content calendar for this week"
  • "What should I post today?"
  • "Generate a carousel about AI automation"
  • "Schedule posts for exportarena"
  • "Social media performance report"
  • Any content creation or social media planning request

Content Pillars

Pillar % of Content Topics
Thought Leadership 30% AI trends, future of work, automation philosophy, industry predictions
Case Studies / Results 25% Client wins, before/after, ROI data, transformation stories
Industry Insights 20% Market data, trade trends, technology news, research findings
Behind the Scenes 15% Process reveals, tool stack, day-in-the-life, building in public
Engagement / Community 10% Polls, questions, hot takes, responses to trends

Platform-Specific Formats

LinkedIn (Primary B2B)

Post structure:

Hook line (stop the scroll)

[empty line]

3-5 short paragraphs with key insight

[empty line]

Takeaway or CTA

#relevanthashtags (3-5 max)

Content types:

  • Text posts (most reach): 1200-1500 chars optimal
  • Carousels (highest engagement): 8-12 slides, bold headlines
  • Articles: Long-form thought leadership, monthly
  • Polls: Weekly, industry-relevant questions

Twitter/X

Format: Thread or single tweet

  • Single: < 280 chars, punchy insight
  • Thread: 5-8 tweets, numbered, standalone value per tweet
  • Quote tweets of industry news with hot take

Instagram

Format: Carousel, Reel, or Story

  • Carousel: 5-10 slides, educational or case study
  • Reel: 30-60 sec, talking head or screen recording
  • Story: Behind the scenes, polls, quick tips

TikTok

Format: Short video (30-90 sec)

  • "How I automated X for a client"
  • Tool demos and walkthroughs
  • Industry myth-busting
  • Day-in-the-life of solo AI consultant

Facebook

Format: Cross-post from LinkedIn with slight adaptation

  • More casual tone
  • Add relevant group shares
  • Use for community engagement

Multi-Brand Voice Guide

guydvorkin.com (English, Global)

Tone: Authoritative expert. Confident, direct, no-nonsense. Perspective: "I've built AI workforces for dozens of companies. Here's what actually works." Audience: CEOs, COOs, operations leaders at mid-market companies Avoid: Hype, buzzwords, overpromising

Example post:
Most companies don't have an AI problem.

They have a process problem.

I spent last week mapping a logistics company's operations.
12 people doing work that 3 people + AI agents could handle.

Not because the people aren't good.
Because nobody ever redesigned the workflow.

AI doesn't replace people. It replaces bad processes.

exportarena.com (English, Trade-Focused)

Tone: Practical trade expert. Data-driven, specific, actionable. Perspective: "The import/export industry is ripe for AI. Here's how smart traders are adapting." Audience: Importers, exporters, freight forwarders, trade professionals Avoid: Generic AI content, non-trade examples

Example post:
A freight forwarder I work with was spending 4 hours/day
on customs documentation.

We built an AI agent that:
- Reads commercial invoices
- Maps HS codes automatically
- Generates customs declarations
- Flags compliance issues

Time spent now: 20 minutes of review.

The ROI paid for itself in week 2.

afarsemon.com (Hebrew, Israel Market)

Tone: Warm, relatable, advisor-friend. Uses Israeli business culture references. Perspective: Trusted local expert making AI accessible to Israeli businesses. Audience: Israeli SMB owners, managers, entrepreneurs Avoid: Over-formal language, English jargon without Hebrew explanation Language: Hebrew primary, with English tech terms when natural

AI Content Generation

Generation Prompt

You are a social media content creator for {{brand}}.

Brand voice: {{voice_description}}
Platform: {{platform}}
Content pillar: {{pillar}}
Topic: {{topic}}

Recent posts (avoid repetition):
{{last_5_posts_summary}}

Audience: {{target_audience}}

Rules:
- {{platform_specific_constraints}}
- Include a hook in the first line
- One key insight or takeaway
- End with engagement driver (question, CTA, or bold statement)
- No generic advice -- be specific and opinionated
- Write in {{language}}

Output:
- Post text
- Suggested hashtags (if applicable)
- Best posting time
- Suggested visual (description for designer/AI image gen)

Carousel Generation Prompt

Create a {{slide_count}}-slide carousel for {{platform}}.

Topic: {{topic}}
Brand: {{brand}}

Slide structure:
1. Title slide (bold claim or question)
2-{{n-1}}. Content slides (one key point per slide, large text, minimal words)
{{n}}. CTA slide (follow, save, share, or link)

Rules:
- Max 30 words per slide
- Each slide standalone valuable
- Progressive reveal (build argument)
- Use numbers and data when possible

Content Calendar

Weekly Schedule Template

Day Platform Pillar Type
Sunday LinkedIn Thought Leadership Text post
Monday Twitter/X Industry Insights Thread
Tuesday LinkedIn Case Study Carousel
Wednesday Instagram Behind the Scenes Reel/Story
Thursday LinkedIn Engagement Poll or question
Friday - - Rest / engage only

Posting Frequency by Brand

Brand LinkedIn Twitter Instagram TikTok
guydvorkin 4/week 5/week 2/week 1/week
exportarena 3/week 3/week 1/week -
afarsemon 3/week - 2/week 1/week

n8n Workflow: Weekly Content Generation

Schedule Trigger (Sunday 7am)
  → Code Node: Generate content calendar for the week
    - Select topics from pillar rotation
    - Check what was posted last week (avoid repeats)
  → Loop each day:
    → AI Node (Gemini Flash): Generate post for platform + brand
    → Code Node: Format and validate (length, hashtags, etc.)
    → Store in queue (Google Sheets or Notion)
  → Telegram: Send weekly calendar preview for review
  → Daily at scheduled time:
    → Fetch today's approved post
    → Auto-publish via platform API or Buffer/Typefully
    → Log to CRM (activity tracking)

Engagement Tracking

Metrics to Monitor

Metric LinkedIn Twitter Instagram
Impressions API API API
Engagement rate (likes+comments+shares)/impressions (likes+retweets+replies)/impressions (likes+comments+saves)/reach
Profile visits API API API
Follower growth Weekly delta Weekly delta Weekly delta
Link clicks UTM tracking UTM tracking Link in bio tracking

Feed into Lead Scoring

Social engagement → Lead signal:
- Commented on post: +3 points (engagement signal)
- Shared/reposted: +5 points
- Visited profile after post: +2 points
- Clicked link: +8 points
- DM'd after seeing content: +10 points

Quick Reference

Task Method
Generate a post AI prompt with brand voice + platform constraints
Create carousel AI prompt with slide structure
Plan weekly calendar n8n workflow or manual using template
Schedule posts Buffer, Typefully, or platform-native scheduling
Track performance Platform APIs or analytics dashboards
Feed engagement to CRM n8n webhook on engagement → update Attio

Error Handling

  • AI generates off-brand content: regenerate with stronger voice constraints
  • Post exceeds platform limit: truncate intelligently, split into thread
  • Scheduling API failure: fall back to draft queue, alert for manual posting
  • Engagement data unavailable: skip metrics update, note gap in reporting
  • Content calendar conflict (same topic twice): dedup check against last 14 days of posts
  • Hebrew content on English brand: language detection check before posting
Weekly Installs
1
First Seen
10 days ago
Installed on
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