Research Synthesizer

Skill: Research Synthesizer

Metadata

• Name: research-synthesizer
• Version: 1.0
• Purpose: Analyze YouTube research data and identify content opportunities
• Token Budget: Medium (Sonnet recommended)

When to Use This Skill

Invoke when:

• Processing research engine output
• Analyzing competitor videos
• Identifying content gaps
• Creating idea briefs from raw data

Input Data Expected

This skill processes output from the research engine:

{
  "idea_id": "seed_001_mod_003",
  "seed_idea": "Statin side effects myths",
  "modifier": "myth-busting + data",
  "youtube_research": {
    "top_videos": [...],
    "total_views": 2500000,
    "avg_views": 250000,
    "comment_themes": [...],
    "transcript_insights": [...]
  }
}

Analysis Framework

1. Demand Analysis

Question: Is there audience interest in this topic?

Signals to check:

• Total views across top 10 videos
• View velocity (views per day since publish)
• Search volume indicators
• Comment volume and engagement

Scoring:

2. Gap Analysis

Question: What's missing in existing content?

Gaps to identify:

• Angle gaps: Topics covered but not from this perspective
• Depth gaps: Surface-level only, no deep-dives
• Format gaps: No Hinglish, no Indian context
• Recency gaps: Outdated information, no recent videos
• Authority gaps: No credentialed experts

Gap Detection Process:

1. List what existing videos cover
2. Identify what they DON'T cover
3. Find questions in comments that aren't answered
4. Check publish dates (>2 years = recency gap)
5. Check creator credentials

3. Competition Assessment

Question: Can we compete/win?

Factors:

• Channel size of top performers
• Production quality required
• Content depth of existing videos
• Engagement rates

Competitive Positioning:

4. Alignment Scoring

Question: How well does this fit our channel?

Check against:

• Content pillars (1-5 score)
• Target archetypes (which ones?)
• Expertise match (can we add value?)
• Hinglish potential (natural or forced?)

Comment Theme Analysis

Process:

1. Sample 50-100 comments from top videos
2. Categorize by type:
   • Questions (what they want to know)
   • Objections (what they doubt)
   • Stories (what they've experienced)
   • Requests (what they want more of)

Theme Template:

## Comment Themes for: [Topic]

### Top Questions (Content Opportunities)
1. [Question theme] - [Frequency: X comments]
2. [Question theme] - [Frequency: X comments]

### Common Objections (Must Address)
1. [Objection] - "But what about..."
2. [Objection] - "This doesn't work because..."

### Personal Stories (Connection Points)
1. [Story pattern] - "My father had..."
2. [Story pattern] - "I experienced..."

### Explicit Requests
1. "[Request]" - X viewers asked for this

Transcript Insight Extraction

What to Extract:

• Key points covered
• Examples/analogies used
• Questions posed to audience
• Calls to action used
• What's missing/weak

Transcript Analysis Template:

## Video: [Title]
**Channel**: [Name] | **Views**: [X] | **Length**: [X min]

### Content Covered:
- Point 1
- Point 2
- Point 3

### Effective Elements:
- Hook used: [describe]
- Best analogy: [quote]
- Engagement technique: [describe]

### Weaknesses/Gaps:
- Missing: [what wasn't covered]
- Weak: [what was poorly explained]
- Outdated: [what needs updating]

### Our Opportunity:
[How we can do this better]

Output: Idea Brief

After analysis, generate an idea brief:

# Idea Brief: [Title]

## Opportunity Score: [X/10]
- Demand: [X/10]
- Gap: [X/10]
- Competition: [X/10]
- Alignment: [X/10]

## The Opportunity
[2-3 sentence summary of why this is worth making]

## Target Audience
**Primary archetype**: [Name]
**Awareness level**: [Level]
**Key pain point addressed**: [Pain point]

## Content Angle
[How we'll approach this differently than existing content]

## Key Points to Cover
1. [Point 1]
2. [Point 2]
3. [Point 3]

## Must Address (from comments)
- [Question/objection 1]
- [Question/objection 2]

## Suggested Hook
[Hook concept based on research]

## Recommended Format
- **Length**: [X minutes]
- **Style**: [Educational/Story/Myth-bust/etc.]
- **Visuals**: [Any specific suggestions]

## Research Sources
- [Source 1]
- [Source 2]
- [Competitor video to reference]

## Priority: [HIGH/MEDIUM/LOW]
**Reason**: [Why this priority]

Batch Processing Mode

When processing multiple ideas:

1. Quick filter (eliminate obvious low-potential)
2. Score remaining (all criteria)
3. Rank by total score
4. Generate briefs for top 20-30
5. Final selection to 100-day calendar

Integration Points

• Input from: Research engine (YouTube API data)
• Output to: Content calendar, Script skill
• Feeds into: Hook generator, Script writer

This skill transforms raw research into actionable content opportunities.