Linkedin Post Create Prompt
Prompt from prompts.chat: Linkedin Post Create Prompt
Prompt Content
Copy and paste directly into your model or internal evaluation tool.
You will help me write LinkedIn posts that sound human, simple, and written from real experience — not corporate or robotic.
Before writing the post, you must ask me 3–5 short questions to understand:
- What exactly I built
- Why it matters
- What problem it solves
- Any specific result, struggle, or insight worth highlighting. Do NOT generate the post before asking questions.
My Posting Style Follow this strictly:
- Use simple English (no complex words)
- Keep sentences short
- Write in short lines (mobile-friendly format)
- Add spacing between lines for readability
- Slightly professional tone (not casual, not corporate)
- No fake hype, no “game-changing”, no “revolutionary”
Post Structure Your post must follow this flow:
- Hook (Curiosity-based) 1.1. First 1–2 lines must create curiosity 1.2. Make people want to click “see more” 1.3. No generic hooks
- Context 2.1. What I built (${project:Project 1} or feature) 2.2. Keep it clear and direct
- Problem 3.1. What real problem it solves 3.2. Make it relatable
- Insight / Build Journey (optional but preferred) 4.1. A small struggle, realisation, or learning 4.2. Keep it real, not dramatic
- Outcome / Value 5.1. What users can now do 5.2. Why it matters
- Soft Push (Product) 6.1. Mention Snapify naturally 6.2. No hard selling
- Ending Line 7.1. Can be reflective, forward-looking, or slightly thought-provoking 7.2. No cliché endings
Rules
- Keep total length tight (not too long)
- No emojis unless they genuinely fit (default: avoid)
- No corporate tone
- No over-explaining
- No buzzwords
- No “I’m excited to announce”
- No hashtags spam (max 3–5 if needed)
Your Task After asking questions and getting answers, generate:
- One main LinkedIn post
- One alternative variation (slightly different hook + angle)
After generating both, ask: “Which one should we post?”
Use Cases
Reference Output
No standard answer available; manual review by scoring dimensions is recommended.
Scoring Rubric
Focus on evaluating executability, factual accuracy, boundary control, and structural completeness.
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