Research competitor YouTube channels, niches, and trending topics for your content strategy.

MITAuto-check passedWriting & Content

Install Yt Research

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill yt-research -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace yt-research --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/yt-research .claude/skills/yt-research && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
yt-research
GitHub stars
2.8k
Token cost
~1.6k tokens
SKILL.md length
732 words
Files
1
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Research competitor YouTube channels, niches, and trending topics for your content strategy.

  • Works in 5 steps: Scope the Research → Collect Channel Data → Analyze Channels → …
  • The user says research channels
  • SKILL.md covers Before You Start, The Research Process, Key Principles and Overview, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Yt Research is an agent skill from jeremylongshore/tons-of-skills-marketplace. Research competitor YouTube channels, niches, and trending topics for your content strategy. Use this skill whenever the user says "research channels", "analyze competitors", "find trending topics", "niche analysis", "competitive research", "what are other creators doing", "scrape YouTube channels", or wants to understand the competitive landscape for a specific tool or topic area. Use when working with yt research. Trigger with 'yt', 'research'.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Designed for Claude Code

It sits in Writing & Content, covering Web scraping and Content strategy. It works with YouTube. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • The user says research channels
  • Analyze competitors
  • Find trending topics
  • Competitive research

Example prompts

  • “research channels”
  • “analyze competitors”
  • “find trending topics”
  • “/yt-research”

Requirements

  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): WebSearch, Read, Write, Task

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Scope the Research
  2. Collect Channel Data
  3. Analyze Channels
  4. Identify Opportunities
  5. Export Results

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • WebSearch
    • Read
    • Write
    • Task

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Yt Research loads about 1.6k tokens when it runs. Until then it costs about 116 tokens; SKILL.md has 732 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~116
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 732 words, ~1,587 tokens.

Download SKILL.mdSave it as .claude/skills/yt-research/SKILL.md (or your agent's skills folder).
name
yt-research
description
Research competitor YouTube channels, niches, and trending topics for your content strategy. Use this skill whenever the user says "research channels", "analyze competitors", "find trending topics", "niche analysis", "competitive research", "what are other creators doing", "scrape YouTube channels", or wants to understand the competitive landscape for a specific tool or topic area. Use when working with yt research. Trigger with 'yt', 'research'.
allowed-tools
WebSearch, Read, Write, Task
compatibility
Designed for Claude Code
version
1.10.0
author
Claude Code Plugins <jeremy@intentsolutions.io>
license
MIT
tags
productivity, yt-research

YouTube Research

You are conducting competitive research for a YouTube channel. Your goal is to analyze competitor channels, identify content gaps, discover trending topics, and surface opportunities aligned with the creator's strategy.

Before You Start

You need from the user:

  1. Research focus - What niche, tool, or topic area to research (e.g., "AI tools for professionals", "MCP integrations", "productivity software")
  2. Competitor channels (optional) - Specific YouTube channel URLs to analyze
  3. Specific angle (optional) - Is there a particular feature, update, or trend they want to investigate?

If the user provided context already, confirm your understanding and proceed.

The Research Process

Step 1: Scope the Research

Define the research boundaries:

  • Which channels to scrape (user-provided + discovered competitors)
  • Which topics/keywords to search for
  • Time horizon (recent 30 days, 90 days, or all-time)

Tell the user the plan: "I'll analyze [N] channels and search for [keywords]. This will involve web research and data collection."

Step 2: Collect Channel Data

Use web research to collect:

  • Channel metadata (subscribers, total videos, posting frequency)
  • Recent videos (last 30-50 per channel): titles, views, likes, comments, publish dates
  • Video tags and categories where available

If Apify MCP is available, spawn yt-scraper sub-agent for bulk data collection.

Step 3: Analyze Channels

For each channel, analyze:

  • Engagement pattern analysis (what gets views vs what doesn't)
  • Content type distribution (tutorials, reviews, updates, opinions)
  • Title pattern analysis (what structures and words correlate with views)
  • Outlier video identification (3x+ above channel average)
  • Topic coverage map (what's covered, what's missing)

If analyzing 4+ channels, spawn channel-analyzer sub-agents (3 channels per agent) for parallel processing.

Step 4: Identify Opportunities

Using the analysis results, identify:

Content Gaps:

  • Topics the audience searches for but competitors cover poorly
  • Topics that are developer-focused everywhere but could be made accessible
  • Recent tool updates/features with no quality coverage yet

Trending Signals:

  • Tools/features getting increasing search interest
  • Topics with recent outlier videos (sudden view spikes)
  • Community discussions (Reddit, forums) indicating unmet demand

Strategic Fit:

  • Which opportunities align with the creator's content pillars?
  • Which serve the target audience?
  • Which have the best effort-to-impact ratio?
Step 5: Export Results

Generate two outputs:

  1. niche-analysis.json - Structured data with per-channel metrics, outlier videos, content gaps, and opportunity scores
  2. niche-report.md - Human-readable research report with:
    • Executive summary (3-5 key findings)
    • Per-channel analysis highlights
    • Top 10 content opportunities ranked by potential
    • Recommended next steps

Present the report to the user:

"Here's the research report. Key findings:"

  • [Top 3 findings]

"What would you like to do?"

  • Move to ideation with these insights
  • Research additional channels
  • Dig deeper into a specific finding
  • Export and save for later
Show full SKILL.md (305 more words)Show less

Key Principles

  • Strategy-first - Every finding must connect back to the creator's goals and audience. Don't surface opportunities that don't serve the target audience.
  • Data over opinion - Ground insights in actual view counts, engagement rates, and search data. "This seems popular" is useless. "This video got 3.2x the channel average with 45K views in 2 weeks" is useful.
  • Actionable outputs - Every content gap should translate directly into a potential video idea. Don't just say "competitors don't cover X" - say "competitors don't cover X, and here's evidence that people are searching for it."
  • Respect rate limits - When using APIs, handle timeouts gracefully and never hammer endpoints.
  • Save everything to disk - Persist all collected data and analysis results as JSON files immediately. Never hold large datasets only in conversation context.

Overview

Research competitor YouTube channels, niches, and trending topics for your content strategy.

Prerequisites

  • Access to the content environment or API
  • Required CLI tools installed and authenticated
  • Familiarity with content concepts and terminology

Instructions

  1. Assess the current state of the content configuration
  2. Identify the specific requirements and constraints
  3. Apply the recommended patterns from this skill
  4. Validate the changes against expected behavior
  5. Document the configuration for team reference

Output

  • Configuration files or code changes applied to the project
  • Validation report confirming correct implementation
  • Summary of changes made and their rationale

Error Handling

ErrorCauseResolution
Authentication failureInvalid or expired credentialsRefresh tokens or re-authenticate with content
Configuration conflictIncompatible settings detectedReview and resolve conflicting parameters
Resource not foundReferenced resource missingVerify resource exists and permissions are correct

Examples

Basic usage: Apply yt research to a standard project setup with default configuration options.

Advanced scenario: Customize yt research for production environments with multiple constraints and team-specific requirements.

Resources

  • Official content documentation
  • Community best practices and patterns
  • Related skills in this plugin pack

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/.curated/yt-research of jeremylongshore/tons-of-skills-marketplace.

Open the folder on GitHubat commit cfae287

Compare with similar skills

Yt Research next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Yt Research compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Yt Research this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.6kAutomated safety check: PassMIT
Youtube Video API Skillbrowser-act/skills6.1k1 repos~1.6kAutomated safety check: PassMIT
Apify Trend Analysissickn33/agentic-awesome-skills47k2 repos~1.2kAutomated safety check: NotesMIT
YoutubeAgriciDaniel/claude-youtube440—~3.1kAutomated safety check: PassMIT
Caption Writerstevenflanagan1/social-ai-team244—~2.9kAutomated safety check: PassNone
SocialpostHao0321/claude-skill-social-post730—~332Automated safety check: PassMIT

Similar skills

  • Youtube Video API Skill

    browser-act/skills

    This skill helps users automatically extract channel-level and video detail data from a specific YouTube channel via BrowserAct API.

    6.1k GitHub starsUsed in 1 repo~1.6k tokens
    Writing & ContentAuto-check passed
  • Apify Trend Analysis

    sickn33/agentic-awesome-skills

    Discover and track emerging trends across Google Trends, Instagram, Facebook, YouTube, and TikTok to inform content strategy.

    47k GitHub starsUsed in 2 repos~1.2k tokens
    Data & AnalyticsAuto-check: notes
  • Youtube

    AgriciDaniel/claude-youtube

    The ultimate YouTube creator skill. An agent skill from AgriciDaniel/claude-youtube.

    440 GitHub stars~3.1k tokensUpdated 6 mo ago
    Writing & ContentAuto-check passed
  • Caption Writer

    stevenflanagan1/social-ai-team

    Writes on-brand social media captions for SMBs. An agent skill from stevenflanagan1/social-ai-team.

    244 GitHub stars~2.9k tokensUpdated 4 days ago
    Writing & ContentAuto-check passed
  • Socialpost

    Hao0321/claude-skill-social-post

    在 ChatGPT 聊天中規劃、撰寫與修改 Facebook、Instagram、Threads、YouTube、X 貼文;處理 Mode C、黑底白字、作者語氣、版型與成效證據。使用者說「發文」「寫文」「文案」「用我的口氣/格式」「Mode C」「黑底白字」「分析貼文」時啟用。

    730 GitHub stars~332 tokensUpdated 8 days ago
    Writing & ContentAuto-check passed
  • Content Engine

    c0x12c/ai-toolkit

    Turn one idea into platform-native content for X, LinkedIn, TikTok, YouTube, newsletters.

    106 GitHub stars~986 tokensUpdated 3 mo ago
    Writing & ContentAuto-check passed

More from jeremylongshore/tons-of-skills-marketplace

All 3,342 skills in this repo
  • Performing Security Code Review

    jeremylongshore/tons-of-skills-marketplace

    Execute this skill enables AI assistant to conduct a security-focused code review using the security-agent plugin.

    2.8k GitHub starsUsed in 2 repos~1.3k tokens
    Auto-check: notes
  • Adapting Transfer Learning Models

    jeremylongshore/tons-of-skills-marketplace

    Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques.

    2.8k GitHub stars~1.1k tokensUpdated today
    Auto-check passed
  • Agent Context Loader

    jeremylongshore/tons-of-skills-marketplace

    Execute proactive auto-loading: automatically detects and loads agents.md files.

    2.8k GitHub stars~1.1k tokensUpdated today
    Auto-check passed
  • Aggregating Performance Metrics

    jeremylongshore/tons-of-skills-marketplace

    Aggregate and centralize performance metrics from applications, systems, databases, caches, and services.

    2.8k GitHub stars~1.2k tokensUpdated today
    Auto-check passed
  • Analyzing Capacity Planning

    jeremylongshore/tons-of-skills-marketplace

    Execute this skill enables AI assistant to analyze capacity requirements and plan for future growth.

    2.8k GitHub stars~947 tokensUpdated today
    Auto-check passed
  • Analyzing Database Indexes

    jeremylongshore/tons-of-skills-marketplace

    Process use when you need to work with database indexing. An agent skill from jeremylongshore/tons-of-skills-marketplace.

    2.8k GitHub stars~2k tokensUpdated today
    Auto-check passed

Works with

Questions about Yt Research

What does Yt Research do?

Research competitor YouTube channels, niches, and trending topics for your content strategy. Yt Research is an agent skill from jeremylongshore/tons-of-skills-marketplace. Research competitor YouTube channels, niches, and trending topics for your content strategy.

When should I use Yt Research?

Yt Research fits situations like: the user says research channels; analyze competitors; find trending topics; competitive research.

How do I install Yt Research in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill yt-research -a claude-code`. Or copy the skill folder (skills/.curated/yt-research in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/yt-research in your project. Claude Code loads it when a task matches its description.

How do I install Yt Research in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill yt-research -a codex`. Or copy the skill folder (skills/.curated/yt-research in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/yt-research in your project. Codex loads it when a task matches its description.

Can I use Yt Research in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill yt-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/yt-research, .gemini/skills/yt-research, .github/skills/yt-research and .opencode/skills/yt-research in your project.

What does Yt Research need to run?

SKILL.md names no scripts, command-line tools or credentials: Yt Research is instructions for the agent only. Its frontmatter pre-approves these tools: WebSearch, Read, Write, Task. Compatibility (from SKILL.md): Designed for Claude Code.

Does Yt Research access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Yt Research safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Yt Research use?

Yt Research is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Yt Research use?

About 1.6k tokens (SKILL.md is roughly 6.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Yt Research?

Skills that share tags, products or a category with Yt Research: Youtube Video API Skill (browser-act/skills, 6.1k stars), Apify Trend Analysis (sickn33/agentic-awesome-skills, 47k stars), Youtube (AgriciDaniel/claude-youtube, 440 stars) and Caption Writer (stevenflanagan1/social-ai-team, 244 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Yt Research?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.