Initial: forked from runesleo/x-reader (MIT License) - thank you @runes_leo!
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# Content Analyzer Skill
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> Any content → structured analysis report with actionable insights
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## Trigger
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When user sends content (URL, text, or transcript) with analysis intent:
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- `/analyze [URL]`
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- "Analyze this article"
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- "What are the key takeaways?"
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- Auto-triggered after video/podcast transcription (from video skill)
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## Pipeline
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### Step 1: Get Content
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Choose tool based on input type:
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| Input | Tool |
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|-------|------|
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| Tweet URL | `fetch_tweet` or Jina Reader |
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| Web URL | `WebFetch` or Jina Reader |
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| Local file | Read file directly |
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| Transcript from video skill | Use directly |
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### Step 2: Multi-Dimensional Analysis
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Scan content across these dimensions. Only output dimensions with actual content — skip empty ones.
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```markdown
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## 📖 Summary
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[1-3 sentence core thesis]
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**Source**: [author/publisher] · [date]
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**Type**: [tweet/article/video/podcast/report]
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---
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## 💡 Key Insights
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### 🎯 Core Arguments
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- **Thesis**: [Main argument or finding]
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- **Evidence**: [Supporting data or reasoning]
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- **Strength**: [How convincing? What's missing?]
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### 🤖 Tools & Methods
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- **What**: [Tools, frameworks, or techniques mentioned]
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- **How**: [How they're used or applied]
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- **Relevance**: [Could you use this?]
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### ⚙️ Workflow Ideas
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- **Optimization**: [Process improvements mentioned]
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- **Automation**: [What could be automated]
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- **Integration**: [How to fit into existing workflow]
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### 📊 Data & Numbers
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- **Key metrics**: [Important numbers mentioned]
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- **Trends**: [Patterns in the data]
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- **Gaps**: [What data is missing]
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### ⚠️ Risks & Warnings
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- **Pitfalls**: [Explicitly mentioned risks]
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- **Blind spots**: [What the author might be missing]
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- **Counter-arguments**: [Alternative perspectives]
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### 🔗 Resources
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- **Tools/APIs**: [Mentioned tools or data sources]
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- **People**: [Worth following or referencing]
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- **Further reading**: [Related content]
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### 🧠 Mental Model Shifts
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- **Before**: [Common assumption]
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- **After**: [New understanding from this content]
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- **Impact**: [How this changes decisions]
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---
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## ✅ Action Items
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### Quick Wins (< 30 min)
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- [ ] [Action 1] — Impact: ★★★★ | Effort: Easy
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- [ ] [Action 2] — Impact: ★★★ | Effort: Easy
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### Deeper Work (1-3 hours)
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- [ ] [Action 3] — Impact: ★★★ | Effort: Medium
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- [ ] [Action 4] — Impact: ★★ | Effort: Medium
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### Exploration (needs validation)
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- [ ] [Action 5] — Impact: ★★★ | Effort: Hard | Nature: Exploratory
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```
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### Step 3: Personalized Relevance (Customizable)
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Map insights to YOUR context. Edit the dimensions below to match your own projects, interests, and systems.
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```markdown
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## 🔄 How This Applies to Me
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### My Projects
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- **[Project A]**: [How this insight connects]
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- **[Project B]**: [What I could apply]
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### My Knowledge Base
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- **Update**: [Which notes/docs to update]
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- **New entry**: [What to add to my knowledge system]
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### My Decision Log
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- **Changed my mind about**: [what and why]
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- **Confirmed my belief that**: [what]
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```
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> **Customization**: Edit the dimensions in Step 2 and Step 3 to match your own
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> domain. A trader might add "Market Impact" and "Risk Assessment". A developer
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> might add "Architecture Patterns" and "Tech Debt". Make it yours.
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## Output Modes
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| Mode | Trigger | Output |
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|------|---------|--------|
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| **Full** (default) | `/analyze [URL]` | All dimensions |
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| **Sparse** | `/analyze [URL] --sparse` | Only hit dimensions, skip empty |
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| **Brief** | `/analyze [URL] --brief` | Action items only |
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## Best Practices
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1. **Scan all dimensions, but don't force-fill** — skip empty dimensions cleanly
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2. **Actions must be specific** — not "learn about X" but "read X docs chapter Y"
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3. **Distinguish fact from opinion** — mark the author's claims vs verified facts
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4. **Source everything** — tag where each insight comes from in the original content
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5. **ROI awareness** — not every action is worth doing, assess effort vs impact
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