Skill not invoked — Claude summarizes without fetching

Say 'fetch the transcript using youtube-fetcher-to-markdown' explicitly.

SKILL.md frontmatter wrong

Re-clone; description drives activation.

freemcplab / 디렉터리 / 플레이그라운드 / youtube-fetcher-to-markdown

← 모든 서버 ↗ GitHub

● 커뮤니티 JimmySadek ⚡ 바로 사용

youtube-fetcher-to-markdown

Name: youtube-fetcher-to-markdown (Claude Skill)
Author: JimmySadek

제작: JimmySadek · JimmySadek/youtube-fetcher-to-markdown

Turn any YouTube URL into a queryable Markdown note — YAML frontmatter, chapters, full transcript, Obsidian-ready.

JimmySadek/youtube-fetcher-to-markdown converts YouTube videos into structured Markdown in ~/yt_transcripts/. Accepts URLs in any format. Options: --timestamps (temporal markers), --lang (caption language), --format (json / srt), --source (project tag). Output includes YAML frontmatter (title, channel, id, date, duration, language), full description with links, chapter timestamps, and transcript. Frontmatter lets Obsidian Dataview query your entire transcript library.

▶ 데모 보기 📦 설치 💡 사용 사례

왜 쓰나요

핵심 기능

Any YouTube URL format accepted (short, embed, playlist, watch)
YAML frontmatter for Obsidian Dataview querying across transcripts
Optional timestamps, language choice, JSON/SRT output
Chapter-aware markdown when the video has chapters
File naming with date + slug + video ID for stable sorting

라이브 데모

실제 사용 모습

youtube-fetcher-to-markdown-skill.replay ▶ 준비됨

0/0

설치

작성자 저장소 · Claude Skills 공식 문서

사용 사례

실전 활용법: youtube-fetcher-to-markdown

Archive a YouTube lecture series as a searchable Obsidian vault

👤 Self-learners and researchers ⏱ ~20 min beginner

언제 쓸까: You're studying from YouTube and want to search across 20+ videos later.

흐름

Fetch a playlist's transcripts

youtube-fetcher-to-markdown — fetch every video in playlist <URL>, include timestamps, source=cs-course.✓ 복사됨

→ ~/yt_transcripts/ fills with per-video markdown files, all tagged source: cs-course
Query via Dataview

In Obsidian, write a Dataview query listing all cs-course videos sorted by upload date.✓ 복사됨

→ Dataview returns the set because the frontmatter is consistent

결과: A queryable knowledge base you can grep, tag, and cross-link.

함정

Some videos have no captions and the transcript is empty — Check the skill's log; fall back to Whisper locally for those

함께 쓰기: filesystem

Turn a YouTube talk into a blog post draft

👤 Creators repurposing content ⏱ ~25 min beginner

언제 쓸까: Your talk went up; you want a written version for SEO.

흐름

Fetch the transcript

youtube-fetcher-to-markdown <URL> with chapters and timestamps.✓ 복사됨

→ Markdown with chapter-delimited sections
Rewrite as blog

Now draft a blog post from this transcript.✓ 복사됨

→ Structured post using the chapters as section anchors

결과: Draft-quality blog post based on your own talk.

함께 쓰기: seo-blog-writer-claude-skill

조합

다른 MCP와 조합해 10배 효율

youtube-fetcher-to-markdown-skill + filesystem

Route transcripts into a specific Obsidian vault folder with custom naming

Save fetched transcripts to ~/obsidian/sources/youtube/.✓ 복사됨

youtube-fetcher-to-markdown-skill + seo-blog-writer-claude-skill

Fetch transcript → generate blog post in one chain

Fetch the transcript for <URL>, then seo-blog-writer target keyword 'X'.✓ 복사됨

youtube-fetcher-to-markdown-skill + claude-content-writer-skill

Turn transcripts into newsletters in your brand voice

Fetch transcript, then claude-content-writer newsletter version in my voice profile.✓ 복사됨

도구

이 MCP가 노출하는 것

도구	입력	언제 호출
fetch_single	URL + options (timestamps, lang, format, source)	One video at a time
fetch_playlist	playlist URL + options	Bulk archiving
export_json	URL	You want the data in a non-markdown pipeline

비용 및 제한

운영 비용

API 쿼터: YouTube has no explicit scrape quota for captions but be reasonable
호출당 토큰: Proportional to video length
금액: Free — skills are local files
팁: For very long videos, use JSON export + snippet extraction instead of loading full transcripts into context.

보안

권한, 시크릿, 파급범위

자격 증명 저장: No credentials — pure prompts

데이터 외부 송신: Fetches from YouTube. No data leaves your machine afterward.

Respect YouTube's ToS and creators' rights when redistributing transcripts.
Don't rely on auto-captions as ground truth for quotes — they have errors.

문제 해결

자주 발생하는 오류와 해결

Wrong trigger keywords — transcript has no timestamps

Pass --timestamps explicitly in the prompt.

대안