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Youtube seo

Skill AlekseiUL/sprut-agent-kit/skills/youtube-seo

Generate YouTube titles, descriptions, timecodes and hashtags from video transcripts.From its SKILL.md

Install
npx -y skills add AlekseiUL/sprut-agent-kit --skill youtube-seo

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • runs commandsInstructs the agent to run 2 commands, including `ffmpeg -i video.mp4 -vn -acodec libmp3lame audio.mp3` and 1 more.

SKILL.md

7.0 KB, ~1.8k tokens by cl100k_base, as published. Nobody here has run it


YouTube SEO Generator

Generate click-worthy, SEO-optimized titles, descriptions, timecodes and hashtags for YouTube videos.

✍️ Правила текста (стиль владельца)

Обязательно:

  • Дефис (-) вместо длинного тире (—). ВСЕГДА
  • Сильные глаголы, короткие предложения
  • Личный опыт, метафоры из жизни
  • Хук в заголовке, интрига в первых 2 строках описания

Запрещено:

  • Длинное тире (—) - заменять на дефис (-)
  • "Конечно", "Безусловно", "Стоит отметить", "Является"
  • Канцелярит и пассивный залог
  • Больше 1 эмодзи в описании

Полные правила: skills/copywriter/SKILL.md


Workflow

Step 1: Get transcript

If user provides video/audio file:

# Extract audio if needed (video → audio)
ffmpeg -i video.mp4 -vn -acodec libmp3lame audio.mp3

# Transcribe via OpenAI Whisper API
{skillsDir}/openai-whisper-api/scripts/transcribe.sh audio.mp3 --language ru --json --out transcript.json

If user provides transcript text: Use directly.

Step 2: Analyze transcript

  1. Identify main topic and goal
  2. Extract key insights, numbers, facts
  3. Map narrative structure (for timecodes)
  4. Determine content type:
    • Tutorial → focus on value and steps
    • Case study / research → focus on results and insights
    • Review / comparison → focus on comparison and choice
    • Interview → focus on expert and their opinion

Step 3: Generate metadata


Style Guide

  • First person (as channel author)
  • Tone: sincere, professional, not pushy
  • ONE emoji maximum in entire description
  • Avoid clichés: "В этом видео я расскажу..."
  • Natural keyword integration, no spam

Target Keywords (use contextually)

  • Автоматизация, n8n, AI-агент
  • Искусственный интеллект / AI
  • Промпт / prompt engineering
  • Additional keywords from transcript content

Avoid (YouTube demonetization triggers)

  • Violence, weapons, drugs, gambling
  • Forex/crypto (unless educational)
  • Profanity, discrimination
  • Misleading clickbait
  • Pushy "подпишись/лайкни" — use neutral alternatives

Output Format (STRICT)

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📹 НАЗВАНИЕ И ОПИСАНИЕ ДЛЯ YOUTUBE-РОЛИКА
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

🎯 ПЯТЬ ВАРИАНТОВ НАЗВАНИЯ:

Вариант 1: [Название]
Обоснование: [Текст]

Вариант 2: [Название]
Обоснование: [Текст]

[... до 5 вариантов]

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

✅ РЕКОМЕНДУЕМОЕ НАЗВАНИЕ:
[Твой выбор]

Обоснование выбора: [Почему именно это название]

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

📝 ОПИСАНИЕ РОЛИКА:

[Полный текст описания]

🔗 ОБЩАЕМСЯ ТУТ: https://t.me/YOUR_CHANNEL

⏱ Тайм-коды:
0:00 - Введение
[...]

#SPRUT #SPRUTAI [остальные хештеги]

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

🏷 ХЕШТЕГИ ДЛЯ ЗАГРУЗКИ РОЛИКА (через запятую, до 500 символов):
[список без решёток, через запятую]

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Title Requirements

  • 70-75 chars optimal, max 100
  • First 70 chars = most engaging part
  • Include 1-2 target keywords
  • Use numbers when relevant ("7 принципов...")
  • Intrigue + specificity + value
  • Each variant needs rationale: SEO value, clickability, emotional trigger

Description Requirements

Structure (in order):

  1. Hook — powerful first sentence, NO "В этом видео..."
  2. What viewer learns — key insights, methods, specific value
  3. Topic blocks — structured content overview
  4. Soft CTA — non-pushy
  5. Community link: 🔗 ОБЩАЕМСЯ ТУТ: https://t.me/YOUR_CHANNEL
  6. Timecodes
  7. Hashtags for description

Timecode Requirements

Format: ММ:СС - Название секции

  • Based on actual transcript content and timestamps
  • Clear, informative section names (Russian)
  • 8-15 sections depending on length
  • First: 0:00 - Введение or similar

Hashtag Requirements

Основные хештеги (для описания)

  • Format: #хештег1 #хештег2 ...
  • Mandatory branded: #SPRUT #SPRUTAI
  • Thematic based on content
  • 15-20 hashtags total
  • Mixed language (Russian + English for reach)

Example:

#SPRUT #SPRUTAI #искусственныйинтеллект #ai #автоматизация #n8n #prompting #GPT4 #нейросети #aiagent #promptengineering

Хештеги для загрузки (upload tags)

  • Format: comma-separated, NO # symbol
  • Max 500 characters
  • Can overlap with description hashtags
  • Add mid/low-frequency queries
  • Mixed language

Example:

искусственный интеллект, автоматизация, n8n, AI, агент, промпт инженеринг, ChatGPT, GPT-4, нейросети, AI автоматизация, prompt engineering

Key Reminders

  • Specificity and value over abstract promises
  • First 70 chars of title = strongest part
  • Description should be "tasty" but not pushy
  • ONE emoji in entire description (max!)
  • Timecodes must match actual video structure
  • Avoid all YouTube stop-words and restricted topics

🔗 Связанные скиллы

СкиллЗачем
analyticsПеред оптимизацией SEO - посмотри yt-deep-stats.py: какие видео в топе, откуда трафик (поиск vs рекомендации), ср. удержание. Оптимизируй под реальные данные
copywriterОписание и заголовок в стиле владельца
creator-marketingСтратегия продвижения видео

What ships with it: 1 file

510 B alongside SKILL.md, 1 of them executable

scripts/

Gives 0 of the 12 instructions most marketing audience skills give in ~1.8k tokens

Counted across 690 of the 894 authors here whose files we hold, read 2026-08-07

  • Apply Poppins font to headingsin 41 of 690, across 6 files
  • Apply Lora font to body textin 41 of 690, across 6 files
  • Use Arial fallback for headingsin 39 of 690, across 4 files
  • Use Georgia fallback for body textin 39 of 690, across 4 files
  • Maintain text hierarchy and formattingin 39 of 690, across 4 files
  • Use accent colors for non-text shapesin 38 of 690, across 3 files
  • Use RGB values for precise color matchingin 38 of 690, across 3 files
  • Use brand colors for primary text and backgroundsin 36 of 690, across 1 file
  • Read product marketing context file before asking questions, starting, or auditingin 35 of 690, across 23 files
  • Use active voice instead of passive voicein 26 of 690, across 10 files
  • Implement or generate appropriate JSON-LD structured datain 24 of 690, across 17 files
  • Prioritize clarity over clevernessin 22 of 690, across 8 files

Said here and by no other author read

  • use hyphen instead of em dash always
  • write strong verbs in short sentences
  • extract audio from video
  • transcribe media using OpenAI Whisper
  • write five title variants with rationale
  • include branded hashtags in the description

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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