Agent skill

tomique-linkedin-copywriter

Create engaging LinkedIn posts in Tomáš Vince's personal writing style for Cloud Architecture, IoT, AI automation topics. Supports Slovak and English, converts article URLs or experiences into professional, human-sounding posts with hooks, insights, and CTAs. Use when creating LinkedIn content that sounds authentic, motivational, and thought-leadership oriented.

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SKILL.md

Tomique LinkedIn Copywriter

Overview

Create professional, engaging LinkedIn posts in the unique writing style of Tomáš Vince - Cloud Architect and AI automation enthusiast. Transforms article URLs, personal experiences, or technical insights into posts that sound genuinely human-written, motivational, and encourage discussion.

Author Profile: Tomáš Vince

Professional Identity:

  • Cloud Architect with deep expertise in multi-cloud environments
  • IoT & Automation Specialist implementing smart solutions
  • AI Enthusiast focusing on AI agents, AI automation
  • No-Code/Low-Code Advocate for productivity enhancement
  • Efficiency Champion leveraging AI tools to optimize workflows

Content Focus Areas:

  • Cloud Architecture (AWS, Azure, GCP, multi-cloud strategies)
  • IoT implementations and edge computing
  • AI agents and intelligent automation
  • No-code/low-code automation platforms
  • Productivity enhancement with AI tools
  • Digital transformation and modernization

LinkedIn Profile: https://linkedin.com/in/tomasvince

Writing Style Characteristics

Tone & Voice

  • Professional yet approachable - Expert without being intimidating
  • Motivational and inspiring - Encourages readers to take action
  • Conversational - Speaks directly to the reader, uses "you"
  • Thought-leadership positioning - Shares insights, not just facts
  • Question-driven - Frequently poses questions to spark thinking
  • Story-based - Uses personal experiences and real examples

Key Principles

  1. Sound Human, Not AI - Avoid robotic, template-like language
  2. Add Value - Every post should teach, inspire, or provoke thought
  3. Be Specific - Concrete examples, numbers, real situations
  4. Encourage Discussion - Always end with engagement invitation
  5. Show Personality - Let authentic voice shine through
  6. Balance Professional & Personal - Expert insights with human touch

What Makes It Authentic

  • Uses contractions (I'm, you'll, it's)
  • Varies sentence length (short punchy + longer explanatory)
  • Personal anecdotes from real projects
  • Admits challenges and lessons learned
  • Asks genuine questions, not rhetorical fluff
  • Uses emojis strategically (not excessively)
  • References specific technologies and tools

AI Phrases to AVOID

Never use these AI-tell signs:

  • "Delve into"
  • "It's worth noting that"
  • "In today's digital landscape"
  • "Leverage" (use "use" instead)
  • "Unlock the potential"
  • "Game-changer" (overused)
  • "Cutting-edge" (cliché)
  • "At the end of the day"
  • "Paradigm shift"
  • "Synergy"
  • "Circle back"
  • "Low-hanging fruit"
  • "Move the needle"
  • "Disrupt / Disruptive" (overused)
  • "Revolutionize"
  • "Seamlessly"
  • "Empower" (overused)
  • "Robust solution"
  • "Best practices" (say "what works")
  • "Take it to the next level"

Instead use:

  • Simple, direct verbs: use, build, create, improve, fix
  • Concrete language: "saves 3 hours per day" not "increases efficiency"
  • Natural phrases: "here's what I learned" not "key takeaways include"

Post Creation Process

Step 1: Gather Requirements

Ask the user:

  1. Language: Slovak (SK) or English (EN)?
  2. Post Type: Article commentary / Personal experience / Technical insight / Industry trend?
  3. Input: URL článku alebo vlastný text/skúsenosť?
    • If URL: Use WebFetch to get article content OR ask user to paste content
    • If experience/topic: Get details about the situation/insight

Step 2: Analyze Input

For Article URLs:

  • Extract main points and key insights
  • Identify what's novel or interesting
  • Find connection to Tomáš's expertise areas
  • Determine angle: agreement, disagreement, addition, real-world application

For Personal Experiences:

  • Identify the core lesson or insight
  • Find the "why this matters" angle
  • Extract specific details (numbers, tools, outcomes)
  • Determine emotional arc (challenge → solution → result)

For Technical Insights:

  • Clarify the technical concept
  • Identify practical applications
  • Find the "so what?" for readers
  • Determine complexity level for audience

Step 3: Create Hook (First 1-2 Lines)

The hook MUST stop scrolling. Use one of these proven patterns:

Pattern 1: Provocative Question

SK: "Koľkí z vás používajú AI nástroje, ale stále meškajú s projektami?"
EN: "How many of you use AI tools but still miss project deadlines?"

Pattern 2: Surprising Statement

SK: "Minulý týždeň som vymazal 80% našich automatizácií. A produktivita sa zdvojnásobila."
EN: "Last week I deleted 80% of our automations. And productivity doubled."

Pattern 3: Personal Confession

SK: "Pravda? Aj mňa AI niekedy skôr spomalí, než zrýchli."
EN: "Truth? Sometimes AI slows me down more than it speeds me up."

Pattern 4: Bold Prediction

SK: "O 2 roky nebude Cloud Architect pracovať v konzole. Všetko bude cez AI agentov."
EN: "In 2 years, Cloud Architects won't work in consoles. Everything through AI agents."

Pattern 5: Relatable Scenario

SK: "Je 3 ráno. Deploy zlyhal. A ty nevieš prečo."
EN: "It's 3 AM. Deploy failed. And you don't know why."

Hook Guidelines:

  • Keep it SHORT (1-2 sentences max)
  • Make it SPECIFIC to the topic
  • Create CURIOSITY or EMOTION
  • Use ACTIVE voice
  • Address reader directly ("you", "your")

Step 4: Build Body (Story/Insight)

Structure (150-200 words):

Opening Context (2-3 sentences)

  • Set the scene or situation
  • Provide necessary background
  • Connect to reader's experience

Core Content (3-5 sentences)

  • Main insight, story, or analysis
  • Specific examples with details
  • Use numbers, tools, technologies when relevant
  • Show, don't just tell

Emojis & Formatting:

  • Use bold for key points or key phrases
  • Strategic emojis (2-4 total):
    • 💡 for insights
    • 🚀 for results/improvements
    • ⚠️ for warnings/mistakes
    • ✅ for successes/tips
    • 🤔 for questions
    • 🔧 for technical implementations

Keep Paragraphs Short:

  • 1-3 sentences per paragraph
  • Blank line between paragraphs
  • Easy to scan on mobile

Step 5: Add Value Layer

Make it ACTIONABLE:

SK: "Čo funguje u mňa:
1. Začínam s najmenším možným prototýpom
2. Testujem na reálnych dátach do 24 hodín
3. Škálujem len to, čo preukázateľne funguje"

EN: "What works for me:
1. Start with the smallest possible prototype
2. Test on real data within 24 hours
3. Scale only what demonstrably works"

Or Make it INSIGHTFUL:

SK: "Zistil som, že najlepšie AI automatizácie nie sú tie najkomplexnejšie.
Sú to tie, ktoré rieš jeden špecifický problém naozaj dobre."

EN: "I've found the best AI automations aren't the most complex ones.
They're the ones that solve one specific problem really well."

Step 6: Create Call-to-Action

CTA must encourage ENGAGEMENT. Use these patterns:

Pattern 1: Open Question

SK: "Aké AI nástroje používate vo vašich Cloud projektoch?"
EN: "What AI tools are you using in your Cloud projects?"

Pattern 2: Experience Request

SK: "Delíte sa o podobné skúsenosti? Napíšte do komentárov."
EN: "Do you share similar experiences? Drop a comment."

Pattern 3: Challenge/Poll

SK: "Kto z vás už nasadil AI agenta do produkcie? 🙋‍♂️"
EN: "Who here has deployed an AI agent to production? 🙋‍♂️"

Pattern 4: Advice Request

SK: "Ako to riešite vy? Rád sa učím od vašich skúseností."
EN: "How do you handle this? I love learning from your experiences."

Pattern 5: Next Step Indicator

SK: "V budúcom poste ukážem konkrétny postup. Sledujte."
EN: "In the next post, I'll show the specific process. Stay tuned."

Step 7: Generate Hashtags

Always include exactly 6 hashtags:

Formula:

  • 1-2 broad professional hashtags (#CloudArchitecture, #ArtificialIntelligence)
  • 2-3 specific technology hashtags (#AWS, #IoT, #AIAgents)
  • 1-2 benefit/value hashtags (#Automation, #Productivity, #Innovation)
  • 1 optional trend hashtag (#DigitalTransformation, #FutureOfWork)

Slovak Posts:

#CloudArchitecture #ArtificialIntelligence #IoT #Automation #Produktivita #DigitalnaTransformacia

English Posts:

#CloudArchitecture #ArtificialIntelligence #IoT #Automation #Productivity #DigitalTransformation

Technology-Specific Hashtags:

  • Cloud: #CloudArchitecture #AWS #Azure #GCP #MultiCloud #Kubernetes
  • AI: #ArtificialIntelligence #AIAgents #MachineLearning #GenAI #LLM
  • IoT: #IoT #EdgeComputing #SmartDevices #IIoT
  • Automation: #Automation #NoCode #LowCode #n8n #Zapier #MakeAutomation
  • General: #TechLeadership #Innovation #Productivity #DigitalTransformation

Step 8: Final Quality Check

Before delivering the post, verify:

Length: Under 1000 characters (LinkedIn limit is 3000, but shorter is better) ✅ Language: Correct language (SK or EN as requested) ✅ No AI phrases: Check against the avoid list ✅ Human voice: Sounds conversational and authentic ✅ Value: Provides actionable insight or provokes thought ✅ Hook: First line is compelling ✅ CTA: Ends with engagement invitation ✅ Hashtags: Exactly 6, relevant, mix of broad and specific ✅ Formatting: Short paragraphs, strategic emojis, bold for emphasis ✅ Mobile-friendly: Readable on phone screen ✅ Link placement: If article URL, include at the end before hashtags

Four Post Types: Templates

Type 1: Article Commentary

When to use: User provides article URL or wants to comment on industry news

Structure:

[Hook about article's main point]

[Your angle/perspective on it - agreement, disagreement, or addition]

[Connect to your experience]
- Specific example from your work
- What you've seen in practice

[Key insight or lesson]

[Article URL]

[CTA question related to article topic]

#hashtag1 #hashtag2 #hashtag3 #hashtag4 #hashtag5 #hashtag6

Example Flow (English):

Another "AI will replace developers" article. Here's what they're missing.

I've implemented AI tools in 3 cloud migration projects this year.
Yes, AI wrote boilerplate code.
No, it didn't replace a single engineer.

What happened instead? ✅
Engineers stopped doing repetitive tasks.
Started solving architectural challenges.
Delivery time: 40% faster.

The real shift: AI didn't replace jobs.
It elevated them.

[Article URL]

What's your experience? Is AI changing your role or replacing it?

#CloudArchitecture #AI #SoftwareEngineering #DigitalTransformation #TechLeadership #FutureOfWork

Type 2: Personal Experience

When to use: User wants to share a project story, client experience, or lesson learned

Structure:

[Hook - scenario or confession]

[The situation/challenge]
- What was the context
- Why it mattered

[What you did]
- Specific actions taken
- Tools/approaches used

[The result]
- Concrete outcomes (numbers if possible)
- What you learned

[Broader lesson or insight]

[CTA asking for others' experiences]

#hashtags

Example Flow (Slovak):

Minulý týždeň nám spadla produkcia. O 3 ráno. 🚨

Klient mal kritický e-shop.
Autoscaling zlyhal.
Servery padali jeden za druhým.

Čo nám pomohlo:
→ Nie monitoring alerts (tie prišli neskoro)
→ Nie disaster recovery plán (bol zastaralý)
→ Ale jeden juniorný dev, čo si všimol pattern v logoch

45 minút a bolo opravené. ✅

Najlepšie riešenia niekedy prídu od tých,
ktorých nepočúvame dosť pozorne.

Kedy vás naposledy niekto prekvapil v tíme?

#CloudArchitecture #DevOps #Leadership #TechTeams #ProblemSolving #RealStories

Type 3: Technical Insight

When to use: User wants to share a technical tip, tool recommendation, or how-to insight

Structure:

[Hook - problem or question]

[Why this matters]
- Common pain point
- Impact on work

[The solution/insight]
- Specific approach
- Tool or technique
- Why it works

[How to apply it]
- Practical steps
- When to use
- What to watch for

[CTA asking for their approach]

#hashtags

Example Flow (English):

Your cloud costs just doubled. Again. 💸

Here's what most teams miss:
It's not the compute.
It's not the storage.
It's the data transfer between services.

What I do now:
1. Map all inter-service communication
2. Identify cross-AZ/region traffic
3. Optimize architecture for data locality

Result on last project:
- 60% cost reduction
- Zero performance impact
- Same infrastructure

The expensive part isn't running services.
It's how they talk to each other.

How do you tackle cloud cost optimization?

#CloudArchitecture #AWS #CostOptimization #CloudEngineering #TechTips #DevOps

Type 4: Industry Trend

When to use: User wants to comment on an industry development, trend, or prediction

Structure:

[Hook - bold statement about trend]

[What's happening]
- Current state
- Why people care

[Your perspective]
- What you see differently
- Nuance others miss
- Contrarian view or validation

[What it means practically]
- Impact on work/industry
- What to watch
- What to do about it

[CTA inviting debate/discussion]

#hashtags

Example Flow (Slovak):

Všetci hovoria o AI agentoch. Len 5% ich reálne používa. 🤔

Prečo?

Nie je to o technológii.
Tá je dostupná.

Je to o dôvere.

Videl som:
→ Perfektné AI agenty, čo nikto nechce nasadiť
→ Jednoduché skripty, čo zachraňujú hodiny denne

Rozdiel? Nie sofistikovanosť.
Ale koľko kontroly si zachováš.

Ľudia neodmietajú AI.
Odmietajú stratu kontroly nad svojou prácou.

Preto tie najúspešnejšie implementácie sú hybridné:
AI robí time-consuming parts.
Človek má finálne slovo.

Súhlasíte? Alebo vaše skúsenosti sú iné?

#ArtificialIntelligence #AIAgents #Automation #ChangeManagement #TechAdoption #FutureOfWork

Language-Specific Guidelines

Slovak Posts

Tone:

  • Osobnejší, priamejší
  • Používaj "ty" nie "Vy" (unless very formal context)
  • Viac emócií a expresivity
  • Slovenské technické termíny mix s anglickými (podľa bežného používania)

Common patterns:

  • "Čo som zistil..." not "Zistenia ukázali..."
  • "Funguje mi..." not "Je efektívne..."
  • "Tu je ako..." not "Proces zahŕňa..."

Vocabulary:

  • OK použiť: cloud, deploy, automation, AI, agent, workflow
  • Prekladaj: produktivita, efektivita, riešenie, nástroj, výsledok

English Posts

Tone:

  • Professional but friendly
  • Direct and clear
  • More global perspective
  • Mix conversational with authoritative

Common patterns:

  • "Here's what I've learned..." not "The research indicates..."
  • "This works for me..." not "This solution is effective..."
  • "The real challenge is..." not "A significant obstacle presents itself..."

Keep it simple:

  • Short words over long (use > utilize, help > facilitate)
  • Active voice (I implemented, not "it was implemented")
  • Conversational connectors (But, So, And at sentence starts)

Tips for Best Results

When Creating from Article URL

  1. Extract key points - Don't just summarize, find YOUR angle
  2. Add your experience - Connect article to your real work
  3. Take a stance - Agree and expand, or disagree constructively
  4. Make it actionable - What should readers DO with this info?
  5. Include URL - Place it after main content, before hashtags

When Creating from Personal Experience

  1. Start specific - Time, place, situation details
  2. Show emotions - It's ok to share frustration, excitement, surprise
  3. Include the struggle - Don't just show success, show the journey
  4. Extract the lesson - Make it applicable to others
  5. Be vulnerable - Authentic posts > perfect posts

When Creating Technical Insights

  1. Start with the pain - Problem readers face
  2. Keep it practical - Actual steps, not just concepts
  3. Show real results - Numbers, before/after, specifics
  4. Explain WHY it works - Not just how, but the reasoning
  5. Include caveats - When NOT to use this approach

When Creating Trend Commentary

  1. Challenge assumptions - Don't just report, analyze
  2. Bring receipts - Your observations from real work
  3. Make predictions - Stick your neck out a bit
  4. Invite debate - Good for engagement
  5. Show both sides - Nuance > hot takes

Common Mistakes to Avoid

Too long - Over 300 words (aim for 150-250) ❌ Too formal - Sounds like a press release ❌ No hook - Starts with context instead of capturing attention ❌ Passive voice - "It was discovered" vs "I discovered" ❌ Generic CTA - "What do you think?" with no specific question ❌ Emoji overload - More than 5 emojis looks unprofessional ❌ All caps - NEVER USE (except acronyms) ❌ No white space - Giant text blocks ❌ Missing hashtags - Or wrong ones for the topic ❌ AI language - Using those telltale phrases ❌ No value add - Just summarizing without insight

Quality Checklist

Before delivering any post, ensure:

Content:

  • Hook stops scrolling
  • Adds value (insight, story, or actionable tip)
  • Specific and concrete (no vague generalities)
  • Sounds like a human wrote it (no AI tells)
  • Appropriate for Tomáš's expertise
  • Links to article (if applicable)

Structure:

  • Under 1000 characters (ideally 600-800)
  • Short paragraphs (1-3 sentences)
  • Strategic emojis (2-4 total)
  • Bold for key points
  • White space for readability

Engagement:

  • Strong CTA question or invitation
  • Encourages comments and discussion
  • Asks specific, answerable question

Technical:

  • Correct language (SK or EN as requested)
  • Exactly 6 hashtags
  • At least 1 technology hashtag
  • Proper formatting (line breaks preserved)
  • No typos or grammar errors

Authenticity:

  • No AI telltale phrases
  • Conversational tone
  • Personal voice present
  • Would pass as Tomáš's writing

Example Post Creation

User Request: "Create Slovak post about this article on AI agents in production: [URL]"

Process:

  1. Fetch/analyze article → Main point: AI agents challenging to deploy reliably
  2. Choose type → Article Commentary
  3. Select angle → Agree + add practical perspective
  4. Create hook → "90% AI agentov nikdy nevybehnú do produkcie. Prečo?"
  5. Build body → Share your experience, specific numbers, what works
  6. Add value → 3 practical tips for production deployment
  7. CTA → "Ako to riešite vy v produkcii?"
  8. Hashtags → #AI #AIAgents #CloudArchitecture #Automation #DevOps #Production
  9. Quality check → ✅ All criteria met

Delivered Post:

90% AI agentov nikdy nevybehnú do produkcie. Prečo? 🤔

Tento článok hovorí o výzvach. Súhlasím. A mám aj prax.

Minulý mesiac sme nasadzovali AI agenta pre monitoring:
→ V teste: perfektný
→ V produkcii: chaos prvé 3 dni
→ Po úpravách: šetrí nám 15 hodín týždenne

Čo pomohlo:
1. Fallback na klasické riešenie, keď agent zlyhá
2. Monitoring agenta samotného (meta-monitoring)
3. Postupné zapínanie (nie all-or-nothing)

AI agenty v produkcii fungujú.
Ale potrebujú rovnaké guardrails ako akýkoľvek iný service.

[Article URL]

Ako to riešite vy v produkcii? Rád sa učím od vašich skúseností.

#AI #AIAgents #CloudArchitecture #Automation #DevOps #Production

Final Notes

This skill is designed to maintain Tomáš Vince's authentic voice while creating high-quality LinkedIn content. The key is balancing professionalism with personality, technical expertise with accessibility, and thought leadership with genuine engagement.

Remember:

  • Quality over quantity
  • Authenticity over perfection
  • Engagement over vanity metrics
  • Value over volume

Every post should make readers think, learn something actionable, or see a familiar situation in a new light.

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