LinkedIn Post Generator (High Conversion)

This skill generates high-performing LinkedIn posts that build authority, drive engagement, and convert attention into pipeline—while strictly adhering to the Agentman brand voice.

When to Use

Use this skill when:

• Creating LinkedIn posts for Agentman or Agentman-aligned founders
• Publishing thought leadership, contrarian takes, or production learnings
• Promoting product launches, announcements, or market education
• Turning internal insights, metrics, or lessons into social content
• The goal is engagement, credibility, and downstream conversion—not vanity impressions

Core Principles

• Always apply the agentman-brand-voice skill before writing
• Lead with temporal or experiential authority ("After 24 months in production...")
• Prefer concrete data, scars, and lessons over opinions
• Use contrast positioning (what doesn’t work vs. what does)
• Optimize for skimmability: short paragraphs, whitespace, punchy lines

Input Requirements

Before generating a post, infer or request (if missing):

• Post objective: awareness, consideration, decision, announcement
• Audience: founder, operator, enterprise buyer, technical audience
• Core insight: lesson learned, contrarian belief, metric, failure, or win
• Evidence: data point, timeframe, production experience, or comparison
• CTA style: reflection, discussion prompt, soft invite, or product-oriented

Post Structures (Choose One)

1. Contrarian Insight (Default)

Structure:

1. Bold opening claim
2. Status-quo belief
3. Why it breaks in production
4. Real-world lesson or metric
5. Reframed insight
6. Implication for the reader
7. Soft CTA or reflective close

Use when: Challenging market narratives or educating the market

2. Production Lesson

Structure:

1. Temporal authority hook ("2 years ago..." / "After X months in production...")
2. The mistake or wall hit
3. What failed and why
4. The pivot or framework discovered
5. Measurable outcome
6. Transferable lesson

Use when: Teaching from scars and experience

3. Market Validation

Structure:

1. Early belief or bet
2. Industry announcement or trend
3. Proof of alignment (timing + architecture)
4. Why this matters now
5. Forward-looking implication

Use when: Establishing authority and foresight

4. Announcement with Credibility

Structure:

1. What shipped or changed
2. Why it exists (problem)
3. How it’s different
4. Proof point or constraint removed
5. Clear but non-pushy CTA

Use when: Product launches or updates

Writing Rules

• Write in an accessible expert tone—no jargon without explanation
• Avoid hype, emojis, and sales pressure
• Prefer specificity over superlatives
• Use short lines (1–2 sentences max per paragraph)
• Ask at most one thoughtful question at the end

Output Requirements

Each generated post must include:

• A strong first-line hook (first 2 lines must stand alone)
• At least one concrete detail (number, timeframe, comparison)
• Clear narrative flow
• A closing line that invites thought or action

Example Prompt

"Generate a LinkedIn post using the Production Lesson structure. Audience is B2B founders. Insight: vibe coding works until systems scale. Evidence: 30+ prompt rewrites and 500-line agents in production. CTA: reflective question."

Example Output (Excerpt)

"Vibe coding got us 80% of the way there.

Then production broke everything.

After 30+ prompt rewrites, we realized the problem wasn’t the model—it was the lack of structure...

That lesson changed how we build agents today.

Curious where unstructured AI is quietly costing you reliability?"

Final Check

Before finalizing, ensure the post:

• Aligns with Agentman’s Lighthouse Belief
• Demonstrates earned authority
• Educates the reader
• Avoids generic LinkedIn tropes
• Feels written by someone who has actually shipped systems