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Game Review Digest

ASecurity

Extracts positive reception drivers, negative friction points, and actionable benchmarking takeaways from raw Steam user reviews.

  • 2 stars
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  • 0 copies
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  • Added October 25, 2026
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A100/100

Scanned November 11, 2026

npx -y skills add Lainholic/ai-skill-navigator --skill game-review-digest --agent claude-code

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SKILL.md
---
name: game-review-digest
description: Extracts positive reception drivers, negative friction points, and actionable benchmarking takeaways from raw Steam user reviews.
---
# Steam Review Analyzer — Competitive Intelligence and Sentiment Breakdown

Condenses raw Steam player reviews into structured sentiment themes and competitive insights. Designed for indie creators and researchers evaluating market peers without reading hundreds of user comments manually.

---

### 1. Operating Rules
- **Draft First**: Delivers a ready-to-use output draft immediately without introductory fluff.
- **Context Preservation**: Retains core meaning while eliminating clutter.
- **Time Efficient**: Eliminates manual formatting to save you time.

---

### 2. Output Template
```markdown
# Steam Review Analysis: [Target Game Title]

## 1. Core Positive Drivers (Top 3)
1. **[Feature/Element]**: [Why players praise it and how it retains them]
2. **[Feature/Element]**: [Why players praise it and how it retains them]
3. **[Feature/Element]**: [Why players praise it and how it retains them]

## 2. Core Friction Points (Top 3)
1. **[Problem Area]**: [Direct player complaint and frequency indicator]
2. **[Problem Area]**: [Direct player complaint and frequency indicator]
3. **[Problem Area]**: [Direct player complaint and frequency indicator]

## 3. Actionable Benchmarking Takeaways
| Category | Observed Competitor Weakness | Proposed Design Solution |
|:---|:---|:---|
| UX / QoL | [Observed issue] | [Concrete counter-implementation] |
| Balancing | [Observed issue] | [Concrete counter-implementation] |
| Content Loop | [Observed issue] | [Concrete counter-implementation] |
```

---

### 3. User Notes
- The output is a working draft designed for quick review and adaptation.

---

### 🛠️ Quick Customization Tips
- **Refund Focus**: "Filter analysis specifically around negative reviews with under 2 hours of playtime."
- **Feature Gap**: "Compare these reviews directly against a turn-based combat system."

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