linkedin-post-engine

Write high-performing, persuasive, and authentic LinkedIn posts across any professional niche. Uses research-backed hooks, proven post structures, and LinkedIn-specific formatting to maximize reach, saves, comments, and profile actions. Use when creating LinkedIn posts, carousels-by-text, thought leadership, founder updates, case studies, hiring posts, launch posts, or converting X/Twitter ideas into LinkedIn content.

Safety Notice

This listing is from the official public ClawHub registry. Review SKILL.md and referenced scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "linkedin-post-engine" with this command: npx skills add bdseerden/linkedin-post-engine

READ BEFORE USE

HOW TO USE THIS SKILL EFFECTIVELY

READ BEFORE USE

LinkedIn Post Engine

Overview

This skill helps you create strong LinkedIn posts that feel human, useful, and credible.

It combines:

  • proven hook frameworks,
  • clear narrative structures,
  • proof-first writing,
  • and practical CTA design.

Keywords: linkedin, thought leadership, personal brand, founder posts, b2b content, storytelling, case study, hooks, engagement, authority


Process Workflow

Phase 1: Audience + Positioning (CRITICAL)

Before writing, define:

  1. Audience — Who is this for? (founders, recruiters, engineers, operators, marketers, sales leaders, etc.)
  2. Goal — Reach, authority, leads, hiring, trust, replies, profile visits?
  3. Core insight — What is the one thing worth remembering?
  4. Proof — What makes this believable (numbers, before/after, constraints, mistakes, outcomes)?

If proof is missing, use placeholders like [X%], [Y hours] and request exact values.

Phase 2: Structure + Hook Selection

Choose a format first, then write:

  • Story
  • Framework
  • Contrarian
  • Case study
  • Teardown
  • Build-in-public

Then select 2-3 hooks and finalize one.

Phase 3: Draft + Polish

  • Keep paragraphs short (1-2 lines)
  • Front-load specifics
  • Remove generic filler
  • End with one clear CTA
  • Add 3-6 hashtags max

LinkedIn Feed Dynamics (Practical)

What usually performs best:

  1. Strong first two lines (stops the scroll)
  2. Specificity (numbers > adjectives)
  3. Credible vulnerability (mistakes + lessons)
  4. Clear structure (easy to skim on mobile)
  5. Conversation CTA (quality comments over empty likes)

Avoid:

  • Buzzword soup
  • Generic motivation posts
  • Overlong hashtag blocks
  • Fake certainty without evidence

Hook Formulas (Most Important)

The Contrarian Hook

  • “Most people do [X]. That’s exactly why they stay stuck.”
  • “Unpopular opinion: [industry belief] is outdated.”

The Specific Result Hook

  • “In [timeframe], we improved [metric] by [number]. Here’s how.”
  • “We cut [cost/time] by [X%]. Not with a new tool—by changing this one workflow.”

The Mistake Hook

  • “I made this [role]-mistake for months. It cost us [outcome].”
  • “We shipped the wrong thing fast. Here’s what fixed it.”

The Framework Hook

  • “The [3-step/4-step] framework I use for [outcome].”
  • “If I had to restart as [role], I’d follow these 5 rules.”

The Question Hook

  • “Would you let your team do [X] without [Y]?”
  • “What’s your biggest bottleneck in [domain] right now?”

High-Performing Post Formats

1) “This runs now” (Operational Story)

Best for real systems, workflows, and automations.

Template:

  • bold claim
  • “Not as a demo. As an actual [responsibility/workflow].”
  • “Here’s what it does:” with 4-6 concrete bullets
  • measurable result
  • perspective line + CTA question

2) Case Study

Template:

  • starting problem
  • constraints
  • intervention
  • before/after metrics
  • key lesson
  • optional “comment TEMPLATE” CTA

3) Contrarian Opinion

Template:

  • challenge popular view
  • explain why it fails in practice
  • give 3 practical principles
  • ask a polarizing but constructive question

4) Framework Post

Template:

  • name framework
  • 3-5 steps
  • one mistake to avoid
  • one practical “do this today” action

5) Build-in-Public Update

Template:

  • what shipped this week
  • what worked
  • what broke
  • what changed next
  • ask for informed feedback

Persuasion Principles

Use these to increase clarity and trust:

  • Specificity: “Saved 3.2 hours/week” beats “saved time.”
  • Mechanism: Explain how, not just outcomes.
  • Credibility: Mention tradeoffs, not only wins.
  • Relevance: Tie insight to audience reality.
  • Clarity: One post = one core idea.

Writing Rules

  • Hook in first 1-2 lines
  • 1-2 sentence paragraphs
  • Prefer plain language over hype
  • Use emojis sparingly as section markers
  • Keep claims realistic
  • Never invent outcomes, clients, or credentials

Hashtags:

  • 3-6 max
  • niche + function + audience mix
  • avoid spammy broad tags only

Output Contract

By default, provide:

  1. 3 hook options
  2. 1 full post
  3. 1 spicier variant
  4. 3 first-comment ideas (to deepen discussion)

Optional on request:

  • NL / EN / NL-EN mixed variants
  • X/Twitter adaptation
  • Short + long versions
  • Carousel text outline

Quick Prompt Template

When user gives a raw idea, ask/fill:

  • Audience:
  • Goal:
  • Topic:
  • Proof points:
  • Tone:
  • CTA preference:

Then generate outputs per contract above.


Common Pitfalls to Avoid

  • Generic “AI changed everything” without concrete examples
  • No proof signals
  • Too many ideas in one post
  • CTA mismatch (asking for leads on a pure thought-leadership post)
  • Over-formatting with noisy symbols

Execution Checklist

Before finalizing:

  • Hook is strong and specific
  • Core claim is clear
  • Includes at least one proof signal
  • Easy to skim on mobile
  • CTA invites real conversation
  • Hashtags are relevant and limited
  • Tone feels authentic to author

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

Research

Arxiv Reader

Read and analyze arXiv papers by fetching LaTeX source, listing sections, or extracting abstracts

Registry SourceRecently Updated
067
Profile unavailable
Research

Ai Task Hub

AI task hub for image analysis, background removal, speech-to-text, text-to-speech, markdown conversion, points balance/ledger lookup, and async execute/poll...

Registry SourceRecently Updated
1205
Profile unavailable
Research

Hugging Face Papers

Browse trending papers, search by keyword, and get paper details from Hugging Face Papers

Registry SourceRecently Updated
013
Profile unavailable