youtube-research SKILL.md skillA

youtube-research from bradautomates/head-of-content is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add bradautomates/head-of-content/youtube-research@git:20260114.bdae5c6

Pins git:20260114.bdae5c6 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
bradautomates/head-of-content
Path
.claude/skills/youtube-research/SKILL.md
Versions recorded
1
Latest version
git:20260114.bdae5c6, committed Jan 14, 2026
Size
6,787 bytes
Repository stars
279
License
MIT

Research high-performing YouTube videos in a niche using TubeLab's outlier detection API. Identifies outlier videos, analyzes top 3 relevant videos with AI, and generates reports with actionable hook formulas. Use when asked to: - Find trending videos in a YouTube niche - Research competitor content - Discover viral video patterns - Generate content ideas based on what's working - Run YouTube research - Find outlier videos - Analyze hooks and content structure Triggers: "youtube research…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# YouTube Research

Research high-performing YouTube outlier videos, analyze top content with AI, and generate actionable reports.

## Prerequisites

- `TUBELAB_API_KEY` environment variable. Get key from https://tubelab.net/settings/api
- `GEMINI_API_KEY` environment variable (for video analysis)
- `google-genai` and `requests` Python packages

## Workflow

### Step 1: Create Run Folder

```bash
mkdir -p youtube-research/$(date +%Y-%m-%d_%H%M%S)
```

### Step 2: Get Channel ID

Read `.claude/context/youtube-channel.md` to get the channel ID.

### Step 3: Fetch Channel Videos

```bash
python scripts/get_channel_videos.py CHANNEL_ID --format summary
```

This returns JSON with the channel's video titles and view counts.

### Step 4: Analyze Channel

Analyze the channel data to extract:
- **keywords**: 4 search terms for the channel's direct niche
- **adjacent-keywords**: 4 search terms for topics the same audience watches
- **audience**: 2-3 profiles with objections, transformations, stakes
- **formulas**: Reusable title templates

See `references/channel-analysis-schema.md` for the full schema and example output.

### Step 5: Search for Outliers
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add bradautomates/head-of-content/youtube-research@sha256:599ca69c972e801a

The line at the top of this page pins the label git:20260114.bdae5c6, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_xxdwyaiuloihe7fn.svg)](https://markdownregistry.com/a/art_xxdwyaiuloihe7fn)

5 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Jan 14, 2026.

versioncommittedcommitsizeaudit
git:20260114.bdae5c6 latest2026-01-14 bdae5c6 6,787 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (6787 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

bradautomates/head-of-content · 279 stars · license MIT · pushed 2026-01-23 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_xxdwyaiuloihe7fn
GET https://markdownregistry.com/api/v1/resolve?ref=bradautomates/head-of-content/youtube-research
GET https://markdownregistry.com/api/v1/blob/599ca69c972e801a3c9ad7a31950eb37f9947149f1fff920a4196411c565a4f5

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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CLAUDE.md CLAUDE.md file
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Every file in bradautomates/head-of-content

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