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

MITAuto-check passedWriting & Content

Install Youtube

skills CLI
$ npx skills add AgriciDaniel/claude-youtube --skill youtube -a claude-code

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

GitHub CLI
$ gh skill install AgriciDaniel/claude-youtube youtube --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/AgriciDaniel/claude-youtube.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/claude-youtube .claude/skills/youtube && 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
youtube
GitHub stars
437
Token cost
~3.1k tokens
SKILL.md length
1,231 words
Files
40 (incl. references)
Skills in repo
1
Repo updated
First seen
Licence
MIT

At a glance

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

  • Works in 3 steps: Channel niche/topic — What is the… → Channel size tier → Primary goal: Growth / Monetisation /…
  • Content calendar
  • SKILL.md covers Command Router, Context-Gathering Protocol, Channel Type Detection and Parallel Agent Rules, plus 7 more sections
  • Runs Python scripts from its folder; needs YOUTUBE_API_KEY

What it does

Youtube is an agent skill from AgriciDaniel/claude-youtube. The ultimate YouTube creator skill. Covers channel audits, video SEO, retention-engineered scripts, hook writing, thumbnail briefs, content strategy, content calendars, Shorts optimisation, analytics interpretation, monetisation planning, competitor research, cross-platform repurposing, upload metadata packages, and data-driven video idea generation. Triggers on: "youtube", "channel", "video", "views", "subscribers", "watch time", "shorts", "thumbnail", "CTR", "retention", "monetize", "script", "hook", "upload"…

Its SKILL.md is about 3.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 43 other files, including reference files (for example `execution/fetch_channel_data.py`, `execution/fetch_transcript.py` and `execution/fetch_video_analytics.py`).

It sits in Writing & Content, covering Content strategy, Video scripts and shorts and Content repurposing. It works with YouTube. The repository describes itself as: Claude Code skill for YouTube creators — channel audits, video SEO, retention scripts, thumbnails, content strategy, Shorts optimization, analytics, monetization, and more. The licence is MIT.

When your agent uses it

  • Content calendar
  • Competitor analysis
  • Repurpose video
  • Youtube strategy

Example prompts

  • “youtube”
  • “channel”
  • “subscribers”
  • “/youtube”

Requirements

  • Python 3
  • A credential in YOUTUBE_API_KEY

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Channel niche/topic — What is the channel about? Be specific (not "tech" — "budget Android phone reviews").
  2. Channel size tier
  3. Primary goal: Growth / Monetisation / Brand Authority / Audience Engagement

What it can do on your machine

Read from SKILL.md and the folder at commit 84c3fa6. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships script files (Python, from the files we listed), which the agent can run.

    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 these keys or tokens, usually read from environment variables:

    • YOUTUBE_API_KEY

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

Context cost

Youtube loads about 3.1k tokens when it runs, and up to ~19k if it reads all its reference files. Until then it costs about 169 tokens; SKILL.md has 1,231 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~169
When it runs · the whole SKILL.md, loaded when a task matches
~3.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~19k

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 AgriciDaniel/claude-youtube at commit 84c3fa6, republished under its MIT licence (© AgriciDaniel). 1,231 words, ~3,109 tokens.

Download SKILL.mdSave it as .claude/skills/youtube/SKILL.md (or your agent's skills folder). This skill also uses 39 other files; get the full folder from GitHub.
name
youtube
description
The ultimate YouTube creator skill. Covers channel audits, video SEO, retention-engineered scripts, hook writing, thumbnail briefs, content strategy, content calendars, Shorts optimisation, analytics interpretation, monetisation planning, competitor research, cross-platform repurposing, upload metadata packages, and data-driven video idea generation. Triggers on: "youtube", "channel", "video", "views", "subscribers", "watch time", "shorts", "thumbnail", "CTR", "retention", "monetize", "script", "hook", "upload", "youtube audit", "video ideas", "content calendar", "competitor analysis", "repurpose video", "youtube seo", "youtube strategy", "youtube analytics".
tools
Read, Write, Bash, WebSearch, Edit, Grep, Glob, Agent

Claude YouTube — YouTube Creator Skill

Orchestrator for 14 sub-skills covering every aspect of YouTube channel growth, optimisation, and monetisation. You route, delegate, and quality-check — sub-skills and execution scripts do the work.

Command Router

CommandSub-SkillTrigger Phrases
/youtube auditsub-skills/audit.md"audit my channel", "channel health", "what's wrong with my channel", "my channel isn't growing"
/youtube seosub-skills/seo.md"video SEO", "rank higher", "keyword research", "improve search ranking"
/youtube scriptsub-skills/script.md"write a script", "script for my video", "help me script"
/youtube hooksub-skills/hook.md"write a hook", "improve my intro", "first 30 seconds", "opening"
/youtube thumbnailsub-skills/thumbnail.md"thumbnail brief", "improve CTR", "design thumbnail"
/youtube strategysub-skills/strategy.md"channel strategy", "content plan", "positioning", "niche"
/youtube calendarsub-skills/calendar.md"content calendar", "upload schedule", "what should I post this month"
/youtube shortssub-skills/shorts.md"Shorts", "short video", "vertical video", "Shorts strategy"
/youtube analyzesub-skills/analyze.md"analyze metrics", "why are views dropping", "interpret analytics"
/youtube repurposesub-skills/repurpose.md"repurpose video", "turn into Shorts", "cross-platform", "extract clips"
/youtube monetizesub-skills/monetize.md"monetize", "make money", "revenue", "brand deals", "memberships"
/youtube competitorsub-skills/competitor.md"competitor analysis", "spy on channel", "what is [channel] doing"
/youtube metadatasub-skills/metadata.md"upload metadata", "title and description", "pre-publish checklist"
/youtube ideatesub-skills/ideate.md"video ideas", "what should I make next", "brainstorm", "content ideas"

If the user's request doesn't clearly match one command, ask a clarifying question. If the request spans multiple sub-skills (e.g., "help me plan and script my next video"), run the relevant sub-skills sequentially, passing output from each as input to the next.

Context-Gathering Protocol

Before invoking ANY sub-skill, you MUST collect these three inputs. If any are missing, ask:

  1. Channel niche/topic — What is the channel about? Be specific (not "tech" — "budget Android phone reviews").
  2. Channel size tier:
    • New: < 1K subscribers
    • Growing: 1K–10K subscribers
    • Established: 10K–100K subscribers
    • Authority: 100K+ subscribers
  3. Primary goal: Growth / Monetisation / Brand Authority / Audience Engagement

For audit, analyze, and competitor sub-skills, also collect the channel URL or handle.

Channel Type Detection

Based on niche and content description, classify into one of 9 types and load the matching template from templates/:

TypeTemplateSignals
Educationtemplates/education-channel.mdHow-to, explainers, courses
Entertainmenttemplates/entertainment-channel.mdComedy, challenges, reactions
Tutorialtemplates/tutorial-channel.mdStep-by-step, walkthroughs, demos
Vlogtemplates/vlog-channel.mdDay-in-life, personal updates
Reviewtemplates/review-channel.mdProduct reviews, comparisons, unboxing
Commentarytemplates/commentary-channel.mdNews commentary, opinion, essays
Niche Authoritytemplates/niche-authority-channel.mdDeep-dive single topic, expert positioning
Personal Brandtemplates/personal-brand-channel.mdCreator-as-brand, multi-format
Shorts-Firsttemplates/shorts-first-channel.mdPrimarily vertical content

Parallel Agent Rules

audit sub-skill — spawn 4 parallel agents:

  • Agent A: Technical SEO audit (loads references/seo-playbook.md)
  • Agent B: Performance audit (loads references/analytics-guide.md)
  • Agent C: Content strategy audit (loads references/algorithm-guide.md)
  • Agent D: Monetisation audit (loads references/monetization-guide.md)

competitor sub-skill — spawn 4 parallel agents:

  • Agent A: Top video analysis
  • Agent B: Keyword gap analysis
  • Agent C: Format gap analysis
  • Agent D: Audience gap analysis (comment mining)

All other sub-skills run inline (single-threaded). If Agent tool is unavailable, fall back to sequential inline execution.

Reference Files

Load on-demand when a sub-skill requests them. Never pre-load all at once. Do not reload a reference file already in context for this session.

FileContent
references/algorithm-guide.md3-system architecture, testing cascade, CTR/AVD benchmarks, 2024-2025 changes
references/seo-playbook.mdTitle/description/tags/chapters/hashtags rules, VideoObject schema
references/retention-scripting-guide.mdHook frameworks, pattern interrupts, CTA placement, retention graphs
references/thumbnail-ctr-guide.mdCTR by niche, face psychology, A/B testing, title formulas
references/shorts-playbook.mdShorts algorithm, format specs, monetisation, repurposing
references/analytics-guide.mdMetrics hierarchy, funnel ratios, RPM/CPM by niche
references/monetization-guide.mdYPP tiers, 7 revenue streams, brand deal rates
references/repurposing-guide.mdHub/Hero/Help model, cross-platform workflows, platform specs
references/dataforseo-integration.mdDataForSEO MCP tool reference, YouTube SERP, keyword research, trends

DataForSEO MCP Integration (Optional)

When the DataForSEO MCP server is available (configured in ~/.claude/settings.json), youtube skills use live data for keyword research, YouTube SERP analysis, trend intelligence, video metadata, and competitive research. Falls back to WebSearch + execution scripts when unavailable.

Reference: Load references/dataforseo-integration.md for full tool reference, parameters, and efficiency guidelines.

Detection: Attempt any DataForSEO tool call (e.g., serp_youtube_organic_live_advanced). If it fails, fall back to WebSearch + execution scripts. Never block a workflow because DataForSEO is unavailable.

Default parameters: location_code=2840 (US), language_code="en"

Key YouTube DataForSEO Tools
ToolPurpose
serp_youtube_organic_live_advancedYouTube search results for a keyword — videos, channels, playlists with view counts
serp_youtube_video_info_live_advancedDeep video analysis — views, likes, comments, tags, category, subtitles
serp_youtube_video_comments_live_advancedVideo comments with engagement data
serp_youtube_video_subtitles_live_advancedVideo transcript/subtitles extraction
kw_data_google_ads_search_volumeSearch volume, CPC, competition for keyword arrays
dataforseo_labs_google_keyword_ideasKeyword ideas from seed keywords
dataforseo_labs_google_keyword_suggestionsAutocomplete-style keyword suggestions
dataforseo_labs_bulk_keyword_difficultyKeyword difficulty scores (0-100)
dataforseo_labs_search_intentIntent classification (informational/commercial/transactional)
kw_data_google_trends_exploreGoogle Trends time series (supports YouTube-specific filtering)
Show full SKILL.md (506 more words)Show less
Sub-Skill → DataForSEO Module Mapping
Sub-SkillDataForSEO Tools Used
ideateYouTube SERP + keyword ideas + trends + volume
seoVolume + difficulty + intent + YouTube SERP competition
competitorYouTube SERP × keywords + video info + comments
strategyTrends + volume + YouTube SERP + keyword ideas
calendarGoogle Trends for seasonal planning + volume for prioritisation
analyzeYouTube SERP position tracking + video info
auditYouTube SERP + volume + video info + keyword difficulty
shortsYouTube SERP (Shorts filter) + trends
hookYouTube SERP top video titles for keyword
thumbnailYouTube SERP competitor thumbnails
metadataVolume + difficulty for tag optimisation
API Credit Awareness

DataForSEO charges per API call. Typical workflow costs $0.002-$0.04. Rules:

  • Batch keywords into single calls (volume, difficulty, intent tools accept arrays)
  • Don't re-fetch data already retrieved in the same session
  • Use dataforseo_labs_google_keyword_overview for single-keyword lookups
  • Warn the user before running expensive operations

NanoBanana MCP — Thumbnail Generation (Optional)

When the NanoBanana MCP server is configured, the thumbnail sub-skill can generate actual thumbnail images using Gemini models instead of just producing text briefs.

Tool: generate_image

Recommended thumbnail settings:

  • aspect_ratio: "16:9" (YouTube standard)
  • resolution: "4k" (1280×720 minimum for YouTube)
  • model_tier: "nb2" (fast, high-quality production assets)

Detection: Attempt generate_image tool call. If unavailable, deliver text-based thumbnail briefs only — they are detailed enough for any designer to execute.

Workflow: Primary thumbnail + 3 A/B variants = 4 generate_image calls per brief. See sub-skills/thumbnail.md for prompt engineering guidelines.

Execution Scripts

Scripts require YouTube API credentials. Before calling any script:

  1. Check if YOUTUBE_API_KEY environment variable exists
  2. If missing, provide the user with setup instructions instead of failing silently
  3. For Analytics API scripts, check OAuth token exists

If credentials are absent, fall back to asking the user to provide data manually (e.g., paste YouTube Studio screenshots or describe their metrics).

ScriptPurposeQuota Cost
execution/fetch_channel_data.pyChannel stats + last N videos via Data API v3~16 units
execution/fetch_video_analytics.pyPrivate analytics (own channel, OAuth)~5 units
execution/search_competitor_videos.pySearch competitor videos (expensive)100 units/search
execution/fetch_transcript.pyVideo transcript extraction1-2 units
execution/utils/quota_tracker.pyTracks 10K unit/day quota0 units
execution/utils/youtube_auth.pyAPI key + OAuth handler0 units

Quality Gates

Every sub-skill output MUST pass these checks before delivery:

  1. Specificity — Every recommendation must be actionable for THIS channel. No generic advice like "post consistently" without specifying cadence for their tier.
  2. Data grounding — Every benchmark cited must come from a reference file. Never hallucinate statistics. If unsure, say "benchmark unavailable" and explain.
  3. Completeness — All sections in the sub-skill's output template must be present. Missing sections = incomplete deliverable.

Self-Anneal Loop

If a sub-skill output fails a quality gate:

  1. Identify which gate failed and why
  2. Re-read the relevant reference file for missing data
  3. Re-generate only the failing sections
  4. Re-check all three gates
  5. If still failing after 2 attempts, deliver with explicit caveats noting the limitation

Output Format

Default to markdown. For metadata sub-skill, produce copy-paste-ready plain text blocks. For calendar, produce a markdown table. For audit, produce a structured report with scores. Always end with a "Next Steps" section pointing the user to the logical next sub-skill (e.g., after audit → suggest strategy or the lowest-scoring dimension's sub-skill).

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

Files

SKILL.md and 39 other files (references) in skills/claude-youtube of AgriciDaniel/claude-youtube.

  • SKILL.md
  • execution/fetch_channel_data.py
  • execution/fetch_transcript.py
  • execution/fetch_video_analytics.py
  • execution/search_competitor_videos.py
  • execution/utils/quota_tracker.py
  • execution/utils/youtube_auth.py
  • references/algorithm-guide.md
  • references/analytics-guide.md
  • references/dataforseo-integration.md
  • references/monetization-guide.md
  • references/repurposing-guide.md
  • references/retention-scripting-guide.md
  • references/seo-playbook.md
  • references/shorts-playbook.md
  • references/thumbnail-ctr-guide.md
  • sub-skills/analyze.md
  • … and 23 more

Open the folder on GitHubat commit 84c3fa6

Compare with similar skills

Youtube 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.

Youtube compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Youtube this skillAgriciDaniel/claude-youtube437—~3.1kAutomated safety check: PassMIT
Video Content Strategistalirezarezvani/claude-skills28k—~2.9kAutomated safety check: PassMIT
Benchmark Account ImporterXBuilderLAB/cheat-on-content7.2k—~2.3kAutomated safety check: NotesMIT
Podcast Pipelineericosiu/ai-marketing-skills3.6k1 repos~2.6kAutomated safety check: PassMIT
Social Media Managementmanojbajaj95/claude-gtm-plugin1051 repos~3.9kAutomated safety check: PassMIT
Blog RepurposeInfrasity-Labs/dev-gtm-claude-skills139—~2.3kAutomated safety check: PassMIT

Similar skills

  • Video Content Strategist

    alirezarezvani/claude-skills

    A skill your agent uses when planning video content strategy, writing video scripts, optimizing YouTube channels, building short-form video pipelines (Reels, TikTok, Shorts), or repurposing…

    28k GitHub stars~2.9k tokensUpdated 1 mo ago
    Writing & ContentAuto-check passed
  • Benchmark Account Importer

    XBuilderLAB/cheat-on-content

    Imports scripts and engagement numbers from an account you want to emulate, then extracts content patterns and starting scoring signals from them.

    7.2k GitHub stars~2.3k tokensUpdated 4 days ago
    Writing & ContentAuto-check: notes
  • Podcast Pipeline

    ericosiu/ai-marketing-skills

    Podcast-to-Everything content pipeline. An agent skill from ericosiu/ai-marketing-skills.

    3.6k GitHub starsUsed in 1 repo~2.6k tokens
    Writing & ContentAuto-check passed
  • Social Media Management

    manojbajaj95/claude-gtm-plugin

    Comprehensive social media management for all platforms (LinkedIn, Twitter/X, Instagram, TikTok, Facebook, Pinterest, YouTube).

    105 GitHub starsUsed in 1 repo~3.9k tokens
    Writing & ContentAuto-check passed
  • Blog Repurpose

    Infrasity-Labs/dev-gtm-claude-skills

    Repurpose blog posts for social media, email, YouTube, Reddit, and LinkedIn.

    139 GitHub stars~2.3k tokensUpdated 3 mo ago
    Writing & ContentAuto-check passed
  • Social Media Pro Max

    criptogus/agent-evolve-network

    State-of-the-art viral content + social design intelligence.

    288 GitHub stars~1.6k tokensUpdated yesterday
    Writing & ContentAuto-check passed

Works with

Questions about Youtube

What does Youtube do?

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

When should I use Youtube?

Youtube fits situations like: content calendar; competitor analysis; repurpose video; youtube strategy.

How do I install Youtube in Claude Code?

Run `npx skills add AgriciDaniel/claude-youtube --skill youtube -a claude-code`. Or copy the skill folder (skills/claude-youtube in AgriciDaniel/claude-youtube) into .claude/skills/youtube in your project. Claude Code loads it when a task matches its description.

How do I install Youtube in Codex?

Run `npx skills add AgriciDaniel/claude-youtube --skill youtube -a codex`. Or copy the skill folder (skills/claude-youtube in AgriciDaniel/claude-youtube) into .agents/skills/youtube in your project. Codex loads it when a task matches its description.

Can I use Youtube 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 AgriciDaniel/claude-youtube --skill youtube -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/youtube, .gemini/skills/youtube, .github/skills/youtube and .opencode/skills/youtube in your project.

What does Youtube need to run?

Going by SKILL.md and its folder, Youtube needs Python for the scripts in its folder and credentials named YOUTUBE_API_KEY. Our summary lists: Python 3; A credential in YOUTUBE_API_KEY.

Does Youtube 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 Youtube 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 Youtube use?

Youtube is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Youtube use?

About 3.1k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 16k tokens, read only when the agent opens those files.

What are the alternatives to Youtube?

Skills that share tags, products or a category with Youtube: Video Content Strategist (alirezarezvani/claude-skills, 28k stars), Benchmark Account Importer (XBuilderLAB/cheat-on-content, 7.2k stars), Podcast Pipeline (ericosiu/ai-marketing-skills, 3.6k stars) and Social Media Management (manojbajaj95/claude-gtm-plugin, 105 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Youtube?

AgriciDaniel (a GitHub user) maintains it in AgriciDaniel/claude-youtube, which has 437 GitHub stars. The repository was last updated on April 10, 2026.

Source: AgriciDaniel/claude-youtube on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.