Social Draft

Create platform-optimized Twitter and LinkedIn posts in one workflow.

Trigger

User asks to "draft a post", "write social content", or mentions both Twitter/LinkedIn.

Workflow

1. Gather Context

Ask the user for:

• Topic - What's the announcement/achievement/update?
• Key details - Numbers, results, specific outcomes
• Tone - Casual, professional, or thought-leader
• Goal - Engagement, awareness, leads?

2. Draft Twitter Post (X)

Hook Rules:

• First 7 words must stop the scroll
• Use specific numbers/results
• Under 110 characters for single tweets
• Signal thread with "🧵" if needed

Format Options:

• Bold Statement: "Unpopular opinion: [take]"
• Specific Result: "I [result] in [timeframe]. Here's how:"
• List Promise: "[Number] things that [benefit]:"

Twitter Best Practices:

• No external links in main tweet
• No "Like and RT!" begging
• End with question to drive replies
• Post during peak hours (9-11 AM / 7-9 PM EST)

3. Draft LinkedIn Post

Hook Rules:

• First 2 lines determine if they click "see more"
• Bold or counterintuitive opening
• Professional but conversational

Format Options:

• Story Post: Hook → Story → Lesson → Question
• Contrarian Take: Challenge conventional wisdom
• List Post: Hook → Numbered list → Closer
• Lesson Learned: "I used to think X. Now I think Z."

LinkedIn Best Practices:

• Short paragraphs (1-2 sentences)
• Line breaks between paragraphs
• 3-5 hashtags at bottom only
• No buzzwords: "synergy", "leverage", "ecosystem"
• End with question to drive comments
• Under 1300 characters

4. Deliver Both Drafts

Present both drafts clearly labeled:

## 🐦 Twitter Draft
[Single tweet or thread]

---

## 💼 LinkedIn Draft
[LinkedIn post with proper formatting]

Platform Differences

Element	Twitter	LinkedIn
Max length	280 chars	3000 chars (1300 optimal)
Paragraphs	N/A	1-2 sentences max
Hashtags	1-2 inline	3-5 at bottom only
Links	In reply, not main	OK in post
Emojis	OK, don't overdo	One max
Voice	Snappy, punchy	Conversational, professional

Example

Input: "PMS Bug Addition skill success - automated bug reporting workflow"

Output:

🐦 Twitter Draft

Just shipped a new skill for my AI assistant. 🚀

Now I can say "PMS Bug addition" and it:
✅ Creates GitHub issue
✅ Updates task tracker
✅ Logs to daily sheet

All automated. Zero manual work.

What's your favorite automation hack?

💼 LinkedIn Draft

I built something that saves me 15 minutes per bug report.

The old workflow:
1. Create GitHub issue manually
2. Copy details to task tracker sheet
3. Log in daily update sheet
4. Repeat for every bug

The new workflow:
Say "PMS Bug addition" + details. Done.

My AI assistant (Anukar) handles:
- Issue creation with proper formatting
- Sheet updates across 2 different tabs
- Real-time dashboard logging

It's not about being lazy. It's about removing friction from repetitive tasks so I can focus on actual problem-solving.

What repetitive task would you automate if you could?

#Automation #Productivity #AI #OpenClaw

Quality Checklist

Before delivering, verify:

Twitter:

• Hook stops scroll (bold/specific/curious)
• Under 280 characters (110 optimal)
• No external links in main tweet
• Has engagement driver (question)

LinkedIn:

• First 2 lines compelling
• Short paragraphs with line breaks
• No buzzwords or cringe phrases
• Specific numbers/details included
• Ends with question
• 3-5 hashtags at bottom