# LinkedIn engagement Human Guide

## What This Is For
LinkedIn-Profil: Lara Knuth (echtes Profil) Unternehmen: fabrikIQ / Dresden AI Insights Fokus: MES, OEE, Fertigungsdatenanalyse, KMU-Digitalisierung. It gives the agent a clearer input/output frame for social content: what context to ask for, what decisions to make, and what usable artifact to return.

Use this as a human-readable version of the LinkedIn engagement agent skill. It is meant for marketers, operators, founders, and other non-coders who want the workflow without reading agent-specific implementation instructions.

## When To Use This
- Use this when you need a repeatable process for LinkedIn engagement.
- Use this when the task needs judgment, examples, constraints, or a clear output format rather than a one-off prompt.
- Use this when you want to hand an AI assistant enough context to produce a usable marketing artifact.

## When Not To Use This
- Do not use this when you only need a quick factual answer.
- Do not use this when the work depends on private data you cannot share with the assistant.
- Do not use this as a replacement for legal, compliance, financial, or medical review.

## What You Need Before Starting
- The goal or business outcome you want.
- The audience, customer segment, or market context.
- Any source material the assistant should respect, such as notes, briefs, examples, URLs, or brand guidance.
- Constraints such as tone, length, channel, deadline, region, or approval requirements.
- A clear definition of what a good final answer should look like.

## Step-By-Step Workflow
1. State the job clearly: "Use the LinkedIn engagement guide to help me with..."
2. Add context: audience, goal, offer, channel, source material, and constraints.
3. Ask the assistant to identify missing inputs before producing the final output.
4. Have the assistant follow the skill-specific guidance below.
5. Review the result against the final checklist and ask for revisions where needed.

## Skill-Specific Guidance
- **Primär:** DACH (DE/AT/CH), USA, Kanada
- **Sekundär:** UK, Nordics, Benelux
- **Tertiär:** Japan, Südkorea, Südostasien
- DE: #Fertigung #Industrie40 #OEE #MES #Digitalisierung #KMU #Qualitaetssicherung
- EN: #Manufacturing #Industry40 #SmartFactory #MES #OEE #DigitalTransformation #LeanManufacturing
- `region`: us | eu | asia (default: eu)
- `type`: text | article-teaser | poll (default: text)
- `image`: true | false (default: false)
- Wähle Template basierend auf Region
- Generiere Post mit Anti-AI-Detection
- Optional: Generiere Bild via Gemini
- Füge optimierte Hashtags hinzu

## Decision Points And Nuance
The original skill emphasizes: Konfiguration, Slash-Commands, /linkedin-post [region], LinkedIn Post [Region: EU], Post-Text:, Hashtags (5):, Bild-Prompt (falls angefordert):, Beste Posting-Zeit:, Checkliste:, /linkedin-article [region].

Use these questions to steer the work:
- What is the intended audience or buyer?
- What source material must be preserved?
- What should the assistant optimize for: clarity, persuasion, accuracy, speed, creativity, or conversion?
- What examples represent the desired quality bar?
- What should the assistant avoid?

## Common Mistakes
- Kein offensichtliches Muster
- "It's important to note that"

## Copy-And-Paste Prompt
```text
Use the LinkedIn engagement human guide.

My goal:
[Describe the business outcome]

Audience:
[Describe who this is for]

Context and source material:
[Paste notes, examples, links, or existing copy]

Constraints:
[Tone, length, channel, timeline, must-include items, must-avoid items]

Before producing the final output, ask me for any missing information that would materially improve the result.
```

## Final Checklist
- [ ] The output matches the original goal.
- [ ] The audience and context are reflected in the answer.
- [ ] Important constraints and source material were preserved.
- [ ] The assistant made the relevant decisions explicit.
- [ ] The final artifact is ready to use, review, or hand to the next person.

## Source
This guide was generated from the svenja-dev/claude-code-skills skill entry for `linkedin-engagement`.

## Source Skill Notes
These notes preserve the nuance from the original skill. Use them as supporting reference when the workflow above feels too generic.

# LinkedIn Engagement Skill

## Konfiguration

**LinkedIn-Profil:** Lara Knuth (echtes Profil)
**Unternehmen:** fabrikIQ / Dresden AI Insights
**Fokus:** MES, OEE, Fertigungsdatenanalyse, KMU-Digitalisierung

**Ziel-Regionen:**
- **Primär:** DACH (DE/AT/CH), USA, Kanada
- **Sekundär:** UK, Nordics, Benelux
- **Tertiär:** Japan, Südkorea, Südostasien

**Fokus-Hashtags:**
- DE: #Fertigung #Industrie40 #OEE #MES #Digitalisierung #KMU #Qualitaetssicherung
- EN: #Manufacturing #Industry40 #SmartFactory #MES #OEE #DigitalTransformation #LeanManufacturing

---

## Slash-Commands

### /linkedin-post [region]
**Zweck:** Generiert regionsspezifischen LinkedIn-Post

**Parameter:**
- `region`: us | eu | asia (default: eu)
- `type`: text | article-teaser | poll (default: text)
- `image`: true | false (default: false)

**Workflow:**
1. Erfasse Thema/Kernaussage
2. Wähle Template basierend auf Region
3. Generiere Post mit Anti-AI-Detection
4. Optional: Generiere Bild via Gemini
5. Füge optimierte Hashtags hinzu
6. Zeige Vorschau zur Freigabe

**Ausgabeformat:**
```
## LinkedIn Post [Region: EU]

### Post-Text:
[Generierter Text]

### Hashtags (5):
#Hashtag1 #Hashtag2 ...

### Bild-Prompt (falls angefordert):
[Gemini-Prompt für Bildgenerierung]

### Beste Posting-Zeit:
[Region-spezifische Empfehlung]

### Checkliste:
- [ ] Kein AI-Slop?
- [ ] Erste 2 Zeilen = Hook?
- [ ] CTA vorhanden?
```

---

### /linkedin-article [region]
**Zweck:** Erstellt LinkedIn-Artikel MIT Teaser-Post

**Workflow:**
1. Erfasse Artikel-Thema und Kernpunkte
2. Generiere Artikel-Struktur (800-1500 Wörter)
3. Erstelle separaten Teaser-Post (max 300 Zeichen vor "...mehr")
4. Generiere Header-Bild via Gemini
5. Optimiere SEO (Titel, Beschreibung)

**Ausgabeformat:**
```
## LinkedIn Artikel: [Titel]

### Teaser-Post (für Feed):
[Hook-Text, max 300 Zeichen]

[Link zum Artikel]