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Linkedin post

Skill furkankoykiran/.claude/skills/fk-writing-kit/skills/linkedin-post

Turn a blog post, URL or chat context into a formatted LinkedIn post. Use to share an article on LinkedIn or repurpose content as LinkedIn copy.From its SKILL.md

Install
npx -y skills add furkankoykiran/.claude --skill linkedin-post

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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SKILL.md

6.9 KB, as published. Nobody here has run it

LinkedIn Post Generator

Generate professional LinkedIn posts from blog articles, URLs, or conversation context.

Input

Content source provided as $ARGUMENTS:

  • Blog post URL
  • Project GitHub URL
  • Or simply describe the topic from chat context

Workflow

Step 1: Get Content Source

Use AskUserQuestion to ask:

LinkedIn postu hangi kaynaktan oluşturulsun?

1. Blog URL'si (Web Reader ile oku)
2. GitHub projesi
3. Mevcut sohbet konusu
4. Manuel açıklama gir

Step 2: Fetch Content

For URL/Blog: Use the built-in WebFetch tool (or any equivalent web-reading MCP you have configured) to read the article content. For GitHub: Use mcp__github__get_file_contents to explore the project. For Chat: Analyze the conversation history for key topics.

Step 3: Analyze Content Structure

Extract the following elements:

  1. Core Problem/Challenge - What problem was solved?
  2. Solution Approach - How was it solved?
  3. Technical Stack - Technologies, tools, frameworks used
  4. Key Results - Metrics, outcomes, benefits
  5. Learning Points - What can others learn?
  6. Links - GitHub, Blog, NPM, Dev.to, Kaggle, etc.

Step 4: Ask Language Preference

Post hangi dilde olsun?

1. Türkçe
2. İngilizce
3. Hem Türkçe hem İngilizce

Default: Option 1 (Turkish)

Step 5: Generate LinkedIn Post

Create a post following this structure:

Format Template

[STRONG OPENING HOOK - Attention-grabbing first sentence]

[2-3 sentences introducing the core topic/project]

[Brief context or journey - how you got here]

---

[KEY DETAILS - Technical implementation, challenges solved]
- [Point 1]
- [Point 2]
- [Point 3]

[Optional: Technical deep-dive if relevant]

[Practical use case or benefit]

Full story & Architecture:
Blog: [URL]
GitHub: [URL]
[Other relevant links]

hashtag#[tag1] hashtag#[tag2] hashtag#[tag3] hashtag#[tag4] hashtag#[tag5]

Style Guidelines

Opening Hook Examples:

  • "Open Source dünyasında ilerlemek için en iyi yöntem..."
  • "In the age of AI, 'seeing' is no longer 'believing.'"
  • "Duolingo'nun baykuşundan kaçmak için..."
  • "Yapay zeka modellerinin asıl sorunu..."

Structure Rules:

  • Start with a strong, bold statement
  • Keep it concise (100-150 words ideally)
  • Use bullet points for details
  • Include practical value/benefit
  • Add "Full story & Architecture" section with links
  • End with 4-6 relevant hashtags
  • NO emojis in technical posts (professional tone)

Tone:

  • Professional but authentic
  • Educational and practical
  • First-person perspective when appropriate
  • Humble about achievements

Link Format:

Full story & Architecture:
Blog: https://lnkd.in/XXXXX
GitHub: https://lnkd.in/XXXXX
Dev.to: https://lnkd.in/XXXXX
Kaggle: https://lnkd.in/XXXXX

Hashtag Format:

  • Use format: #[Tag] not #tag
  • 4-6 hashtags maximum
  • Mix of broad and specific tags
  • Examples: hashtag#OpenSource hashtag#AI hashtag#Python hashtag#MCP

Step 6: Show Draft Preview

Display the post draft clearly in terminal:

========================================
LINKEDIN POST DRAFT
========================================

[Post content]

========================================

Step 7: Ask for Approval

Ask user: "Taslak onaylanıyor mu? Kopyalama panosuna eklensin mi?"

Step 8: Copy to Clipboard (On Approval)

On approval, use:

echo "[POST CONTENT]" | pbcopy  # macOS
# or
echo "[POST CONTENT]" | xclip -selection clipboard  # Linux

Confirm: "Post kopyalama panosuna kopyalandı. LinkedIn'e yapıştırabilirsiniz."

Content Analysis Guidelines

When reading blog posts or project content, extract:

For Technical Projects:

  • What problem does it solve?
  • What technologies are used?
  • What was the implementation approach?
  • What makes it unique?
  • What can others learn from it?

For Open Source Contributions:

  • What repository/organization?
  • What issue or feature?
  • What was your specific contribution?
  • What impact did it have?
  • Link to the PR/Issue

For Personal Journey Posts:

  • What was the starting point?
  • What challenges did you face?
  • What did you learn?
  • What's the key takeaway for others?
  • What's next?

Post Templates

Template 1: Open Source Contribution

[Technology/Domain] dünyasında [problem] için en iyi yöntem - [çözüm özeti].

Son zamanlarda izlediğim yolculuğu paylaşmak istiyorum:

[Repository/Organization] projesinde [problemi] fark ettim. [Çözümü] geliştirdim.

Bu deneyim beni [diğer projelere] yönlendirdi.

Her projede farklı bir aspect deneyimledim - [teknik detaylar]. Basit bug fix'lerden başlayıp [karmaşık çözümlere] evrildi.

Open Source katkılarının gerçek değeri de bu - [öğrenilen dersler].

Detaylı Bilgi:
1- [Link 1]
2- [Link 2]
3- [Link 3]

hashtag#OpenSource hashtag#[Language] hashtag#[Domain]

Template 2: Project Launch

[Domain/Problem] artık [çözüm/state].

[Proje Adı] adını verdiğim açık kaynaklı projeyi yayınladım.

[Problemi] çözmek için [teknolojiler] kullandım.

[Teknik detaylar ve mimari].

Projenin tüm detaylarını blog yazımda derledim.

GitHub: [Link]
Blog: [Link]
[NPM/Other]: [Link]

hashtag#OpenSource hashtag#[Tech1] hashtag#[Tech2] hashtag#[Domain]

Template 3: Learning Journey

[Teknoloji/Konuya] giriş serüvenim.

[Problemi] çözmek istedim. [Çözüm için] [proje/adı] geliştirdim.

[Adım adım gelişim].

Öğrendiklerim:
- [Ders 1]
- [Ders 2]
- [Ders 3]

Sıradaki adımlar:
- [Plan 1]
- [Plan 2]

Proje: [Link]
Detaylar: [Link]

hashtag#Learning hashtag#[Tech] hashtag#OpenSource hashtag#SideProject

Critical Requirements

  • Analyze content first - Don't generate without understanding the source
  • Strong opening hook - First sentence must grab attention
  • Keep it concise - LinkedIn readers skim, be brief
  • Professional tone - No excessive emojis
  • Include links - Always reference source material
  • Practical value - What can the reader learn or use?
  • Hashtag format - Use hashtag#[Tag] format
  • Show draft first - Never auto-post
  • User approval - Always get confirmation before copying

URL Shortener

When adding links, prefer LinkedIn's native shortener:

  • Use https://lnkd.in/XXXXX format if available
  • Or use the tool's shortener feature
  • Long URLs are fine if shortener unavailable

Hashtag Strategy

Primary Tags (Broad)

  • hashtag#OpenSource
  • hashtag#AI
  • hashtag#Python
  • hashtag#TypeScript
  • hashtag#Security

Secondary Tags (Specific)

  • hashtag#MCP
  • hashtag#DeepLearning
  • hashtag#ComputerVision
  • hashtag#Automation
  • hashtag#SideProject

Technology Tags

  • hashtag#React
  • hashtag#Nodejs
  • hashtag#SystemDesign
  • hashtag#Backend
  • hashtag#CyberSecurity

Choose 4-6 relevant tags maximum.

Keep looking

Skills are one crate of 626,194. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.