Aunkar Social Draft

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name: social-draft description: "Draft Twitter and LinkedIn posts in one go. Use when user wants to create social media content for announcements, achievements, or updates. Combines tweet-writer and linkedin-writer skills for platform-optimized content."

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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

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