cross-niche-outliers: Design & UI for AI Agents | OpenAgentSkill

Overview

Find viral YouTube videos from adjacent business niches to extract content patterns and hooks. Use when user asks to find content inspiration, YouTube outliers, viral video patterns, or cross-niche content ideas.

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Cross-Niche Outlier Detection

Goal

Identify high-performing videos from adjacent business niches to extract transferable content patterns, hooks, and structures. These outliers provide inspiration for content ideation without being directly competitive.

Two Approaches

1. TubeLab API (RECOMMENDED)

# Default: 1 query = 5 credits, ~100 outliers from last 30 days
python3 ./scripts/scrape_cross_niche_tubelab.py

# Custom search term
python3 ./scripts/scrape_cross_niche_tubelab.py --terms "business strategy"

# Skip transcripts (faster, cheaper)
python3 ./scripts/scrape_cross_niche_tubelab.py --skip_transcripts

Pros: Pre-calculated scores, no rate limiting, fast Cons: 5 credits per query

2. yt-dlp Scraping (LEGACY)

python3 ./scripts/scrape_cross_niche_outliers.py

Use only if TubeLab credits are exhausted. Often fails due to rate limiting.

Scripts

./scripts/scrape_cross_niche_tubelab.py - TubeLab API (recommended)
./scripts/scrape_cross_niche_outliers.py - yt-dlp direct scraping
./scripts/generate_title_variants.py - Generate title variants for outliers

Process

1. Video Discovery

Search keywords (50 videos per keyword)
Monitor business channels (15 videos per channel)
Deduplicate and filter noise

2. Outlier Scoring

Base score: video views / channel average views
Recency boost: <1 day = 2x, <3 days = 1.5x, <7 days = 1.2x
Threshold: 1.1x or higher (10% above average)

3. Cross-Niche Scoring

Modifiers applied to base score:

-20% per technical term (API, Python, code, SDK)
+30% for money hooks ($, revenue, income, profit)
+20% for time hooks (faster, productivity)
+20% for curiosity gaps (?, "this changed everything")
+10% for listicles (numbers in title)

4. Transcript & Summary

Fetches transcript (youtube-transcript-api, Apify fallback)
Claude summarizes: hook, structure, how to adapt
Raw transcript saved for deeper analysis

5. Title Variant Generation

For each outlier, generates 3 title variants adapted to your niche.

6. Output to Google Sheet (19 columns)

Cross-Niche Score, Outlier Score, Days Old, Category, Title, Video Link, Views, Duration, Channel, Thumbnail, Summary, Title Variants 1-3, Raw Transcript, Publish Date, Source

TubeLab Options

Flag	Description	Default
`--queries N`	Number of searches (5 credits each)	1
`--terms "a" "b"`	Custom search terms	entrepreneur
`--min_views N`	Minimum views	10,000
`--max_days N`	Max video age	30
`--skip_transcripts`	Skip transcripts	False

Keyword Tiers

Tier 1: Adjacent Business/Tech

"AI for business", "ChatGPT business use cases", "no-code automation"

Tier 2: Broad Business

"scale your business", "solopreneur success", "founder productivity"

Tier 3: Money/Revenue Hooks

"increase revenue", "passive income systems", "10x your income"

Monitored Channels

Alex Hormozi, My First Million, Starter Story, Colin and Samir, Ali Abdaal, Think Media, Iman Gadzhi, Pat Flynn, GaryVee, MrBeast, Justin Welsh, Charlie Morgan

Output

Google Sheet: "Cross-Niche Outliers v2 - [timestamp]"
~100 outliers with 19 columns
Sorted by publish date (most recent first)
3 title variants + raw transcript per outlier

Environment

TUBELAB_API_KEY=your_key
ANTHROPIC_API_KEY=your_key
APIFY_API_TOKEN=your_token (optional fallback)

Workflow

Run weekly for ~100 outliers
Review by Cross-Niche Score
Pick outlier with good thumbnail/title
Use title variants as starting points
Recreate thumbnail with your face (see recreate-thumbnails skill)

Schema

Inputs

Name	Type	Required	Description
`terms`	array	No	Custom search terms (default: 'entrepreneur')
`queries`	integer	No	Number of TubeLab searches (5 credits each, default: 1)
`min_views`	integer	No	Minimum views (default: 10,000)
`max_days`	integer	No	Max video age in days (default: 30)
`skip_transcripts`	boolean	No	Skip transcript fetching (faster)

Outputs

Name	Type	Description
`sheet_url`	string	Google Sheet with ~100 outliers (19 columns)

Credentials

Name	Source
`TUBELAB_API_KEY`	.env
`ANTHROPIC_API_KEY`	.env
`APIFY_API_TOKEN`	.env (optional fallback)

Composable With

Skills that chain well with this one: title-variants, recreate-thumbnails

Cost

5 TubeLab credits per query + Claude API

View source ↗

File metadata

name: cross-niche-outliers
description: Find viral YouTube videos from adjacent business niches to extract content patterns and hooks. Use when user asks to find content inspiration, YouTube outliers, viral video patterns, or cross-niche content ideas.

View original text

---
name: cross-niche-outliers
description: Find viral YouTube videos from adjacent business niches to extract content patterns and hooks. Use when user asks to find content inspiration, YouTube outliers, viral video patterns, or cross-niche content ideas.
---

# Cross-Niche Outlier Detection

## Goal
Identify high-performing videos from adjacent business niches to extract transferable content patterns, hooks, and structures. These outliers provide inspiration for content ideation without being directly competitive.

## Two Approaches

### 1. TubeLab API (RECOMMENDED)
```bash
# Default: 1 query = 5 credits, ~100 outliers from last 30 days
python3 ./scripts/scrape_cross_niche_tubelab.py

# Custom search term
python3 ./scripts/scrape_cross_niche_tubelab.py --terms "business strategy"

# Skip transcripts (faster, cheaper)
python3 ./scripts/scrape_cross_niche_tubelab.py --skip_transcripts
```

**Pros:** Pre-calculated scores, no rate limiting, fast
**Cons:** 5 credits per query

### 2. yt-dlp Scraping (LEGACY)
```bash
python3 ./scripts/scrape_cross_niche_outliers.py
```
**Use only if TubeLab credits are exhausted.** Often fails due to rate limiting.

## Scripts
- `./scripts/scrape_cross_niche_tubelab.py` - TubeLab API (recommended)
- `./scripts/scrape_cross_niche_outliers.py` - yt-dlp direct scraping
- `./scripts/generate_title_variants.py` - Generate title variants for outliers

## Process

### 1. Video Discovery
- Search keywords (50 videos per keyword)
- Monitor business channels (15 videos per channel)
- Deduplicate and filter noise

### 2. Outlier Scoring
- Base score: video views / channel average views
- Recency boost: <1 day = 2x, <3 days = 1.5x, <7 days = 1.2x
- Threshold: 1.1x or higher (10% above average)

### 3. Cross-Niche Scoring
Modifiers applied to base score:
- -20% per technical term (API, Python, code, SDK)
- +30% for money hooks ($, revenue, income, profit)
- +20% for time hooks (faster, productivity)
- +20% for curiosity gaps (?, "this changed everything")
- +10% for listicles (numbers in title)

### 4. Transcript & Summary
- Fetches transcript (youtube-transcript-api, Apify fallback)
- Claude summarizes: hook, structure, how to adapt
- Raw transcript saved for deeper analysis

### 5. Title Variant Generation
For each outlier, generates 3 title variants adapted to your niche.

### 6. Output to Google Sheet (19 columns)
Cross-Niche Score, Outlier Score, Days Old, Category, Title, Video Link, Views, Duration, Channel, Thumbnail, Summary, Title Variants 1-3, Raw Transcript, Publish Date, Source

## TubeLab Options
| Flag | Description | Default |
|------|-------------|---------|
| `--queries N` | Number of searches (5 credits each) | 1 |
| `--terms "a" "b"` | Custom search terms | entrepreneur |
| `--min_views N` | Minimum views | 10,000 |
| `--max_days N` | Max video age | 30 |
| `--skip_transcripts` | Skip transcripts | False |

## Keyword Tiers

**Tier 1: Adjacent Business/Tech**
- "AI for business", "ChatGPT business use cases", "no-code automation"

**Tier 2: Broad Business**
- "scale your business", "solopreneur success", "founder productivity"

**Tier 3: Money/Revenue Hooks**
- "increase revenue", "passive income systems", "10x your income"

## Monitored Channels
Alex Hormozi, My First Million, Starter Story, Colin and Samir, Ali Abdaal, Think Media, Iman Gadzhi, Pat Flynn, GaryVee, MrBeast, Justin Welsh, Charlie Morgan

## Output
- Google Sheet: "Cross-Niche Outliers v2 - [timestamp]"
- ~100 outliers with 19 columns
- Sorted by publish date (most recent first)
- 3 title variants + raw transcript per outlier

## Environment
```
TUBELAB_API_KEY=your_key
ANTHROPIC_API_KEY=your_key
APIFY_API_TOKEN=your_token (optional fallback)
```

## Workflow
1. Run weekly for ~100 outliers
2. Review by Cross-Niche Score
3. Pick outlier with good thumbnail/title
4. Use title variants as starting points
5. Recreate thumbnail with your face (see recreate-thumbnails skill)

---

## Schema

### Inputs
| Name | Type | Required | Description |
|------|------|----------|-------------|
| `terms` | array | No | Custom search terms (default: 'entrepreneur') |
| `queries` | integer | No | Number of TubeLab searches (5 credits each, default: 1) |
| `min_views` | integer | No | Minimum views (default: 10,000) |
| `max_days` | integer | No | Max video age in days (default: 30) |
| `skip_transcripts` | boolean | No | Skip transcript fetching (faster) |

### Outputs
| Name | Type | Description |
|------|------|-------------|
| `sheet_url` | string | Google Sheet with ~100 outliers (19 columns) |

### Credentials
| Name | Source |
|------|--------|
| `TUBELAB_API_KEY` | .env |
| `ANTHROPIC_API_KEY` | .env |
| `APIFY_API_TOKEN` | .env (optional fallback) |

### Composable With
Skills that chain well with this one: `title-variants`, `recreate-thumbnails`

### Cost
5 TubeLab credits per query + Claude API

Review the source

Skill source recorded

Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

License: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Financial research output is not financial advice; require human review before any live investment decision
The skill relies on paid external APIs (TubeLab, Anthropic) which may not be available to all users and could incur costs.
The legacy yt-dlp approach is noted as unreliable due to rate limiting, which may frustrate users without TubeLab credits.
The skill requires multiple API keys and Google Sheets OAuth setup, which adds configuration overhead.
Low GitHub adoption signal
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 16 GitHub stars
Stars/forks activity: 16 stars, 6 forks; issue activity unavailable in current metadata

Open full audit

Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.

Source & usage notes

Indexed

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

Source repository: aiagentwithdhruv/skills
License: MIT
Version: 1.0.0
Last GitHub push: Aug 27, 2026
Registry updated: Sep 1, 2026
Instruction path: cross-niche-outliers/SKILL.md

Version reported in registry metadata; check source releases before relying on it.

Quality

58/100

Promising

Trust

50/100

Do not auto-install

Agent access

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open install API LLM text format Open manifest Auto-resolve Plan

More details

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}

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Creator: aiagentwithdhruv
Source: aiagentwithdhruv/skills
Indexed by: OpenAgentSkill community index

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Share kit

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/aiagentwithdhruv-cross-niche-outliers?metric=listed&label=Listed)](https://www.openagentskill.com/skills/aiagentwithdhruv-cross-niche-outliers?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/aiagentwithdhruv-cross-niche-outliers?metric=trust&label=Trust)](https://www.openagentskill.com/skills/aiagentwithdhruv-cross-niche-outliers?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/aiagentwithdhruv-cross-niche-outliers?metric=audit&label=Audit)](https://www.openagentskill.com/skills/aiagentwithdhruv-cross-niche-outliers/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/aiagentwithdhruv-cross-niche-outliers?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/aiagentwithdhruv-cross-niche-outliers?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

Preview badge Open audit Creator kit

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.