youtube-marketing

youtube-marketing is a skill for Claude Code from sergebulaev/youtube-skills. It costs 105 tokens per session (2,359 once invoked), scanned A, original, MIT.

A bundle of nine skills for planning, writing, and publishing YouTube videos and YouTube Shorts. YouTube Shorts are brief vertical videos, and the bundle uses Publora for uploading and scheduling videos you provide.

In plain words
What is it for?
Use it for titles and A/B variants, descriptions with chapters and links, opening hooks, thumbnail briefs, community posts and polls, weekly upload plans, content repurposing, and channel-page audits.
Why use it?
It separates common YouTube tasks into focused workflows, so you can handle titles, descriptions, hooks, thumbnails, audience posts, and planning without designing each process yourself.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Claude Code; mentions Codex.

Part of the youtube-skills plugin — 10 skills shipped together

Good fit Use it for titles and A/B variants, descriptions with chapters and links, opening hooks, thumbnail briefs, community posts and polls, weekly upload plans, content repurposing, and channel-page audits.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sergebulaev/youtube-skills/youtube-skills
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add sergebulaev/youtube-skills --skill youtube-skills
Clone the repo
git clone --depth 1 https://github.com/sergebulaev/youtube-skills

Made for: Claude Code.

Or install youtube-skills, the plugin that ships this one along with the rest of its 10 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for youtube-marketing

README.md
[![agentmods](https://agentmods.dev/badge/skills/sergebulaev/youtube-skills/youtube-skills/github.svg)](https://agentmods.dev/skills/sergebulaev/youtube-skills/youtube-skills)
Your own site
<a href="https://agentmods.dev/skills/sergebulaev/youtube-skills/youtube-skills"><img src="https://agentmods.dev/badge/skills/sergebulaev/youtube-skills/youtube-skills/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for youtube-marketing

Your own site · 80×15
<a href="https://agentmods.dev/skills/sergebulaev/youtube-skills/youtube-skills"><img src="https://agentmods.dev/badge/skills/sergebulaev/youtube-skills/youtube-skills.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 105 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,359 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00105 $0.02359
Opus 5.5 $0.00042 $0.00944
Sonnet 5.5 $0.00021 $0.00472
Haiku 4.5 $0.00011 $0.00236

Measured 12d ago against content hash ebf05bb931d0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

youtube-marketing scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

The scan reads SKILL.md. This mod also ships 13 executable files (lib/__init__.py, lib/_env.py, lib/approval.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.codex-marketplace/youtube-skills/SKILL.md · 174 lines

How it starts

The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.

YouTube Marketing Skills

A bundle of 9 focused skills for YouTube content ops in 2026, covering both long-form and YouTube Shorts. Each skill is single-purpose, follows the draft then approval then publish pattern, and uses the Publora API for uploading and scheduling the video you supply.

When to use this bundle

  • Writing high-CTR titles (curiosity, number, how-I, comparison) with A/B variants -> use yt-title-optimizer
  • Writing the description (first-150-char hook, chapters, keywords, links) -> use yt-description-writer
  • Scripting the first 30 seconds for retention (or the first 3 seconds of a Short) -> use yt-hook-scripter
  • Briefing a thumbnail (text overlay, face/emotion, contrast) plus the upload flow -> use yt-thumbnail-brief
  • Writing a community-tab post or poll -> use yt-community-post-writer
  • Planning a week of uploads (long-form vs Shorts mix, title/thumbnail pairing) -> use yt-content-planner
  • Repurposing off-platform content (a blog post, thread, or LinkedIn post) into a YouTube community post or a video brief -> use yt-repurposer
  • Auditing and rewriting the channel page (banner, trailer, About, playlists, section order) to convert viewers into subscribers -> use yt-channel-optimizer
  • Reading your audience from the comments (who commented, themes, superfans, trending) -> use yt-audience-insights

Core pattern

Every action-taking skill follows three steps:

  1. Parse the input. If the user gives a YouTube URL, the skill uses lib/url_parser.py to extract the video id, Short id, channel, or handle.
  2. Draft the content. The skill applies 2026 research (title and hook formulas, CTR x retention heuristics, thumbnail principles, voice rules) and shows the draft to the user.
  3. Wait for approval. The user replies "publish", "yes", or suggests edits. Only after explicit approval does the skill upload and schedule via Publora.

Why YouTube is video-first (read this once)

Read the full file on GitHub · 174 lines

Files

What ships with it

45 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago Changed · +9 lines ebf05bb931d0
  2. 1mo ago Changed 066d6e7393e9
  3. 1mo ago Changed 5541c4c5605c
  4. 1mo ago First seen · 165 lines · 105 tokens per session scan A dbc0d21c1b53

Subscribe to this mod's changes

youtube-marketing is a skill published in the GitHub repository sergebulaev/youtube-skills (74 stars, last pushed 6d ago), licensed MIT. It adds 105 tokens to every session and 2,359 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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