transcript
Skill4 starsChanged 4 months agoMITView on GitHub
Транскрипт YouTube роликов через Loore (yt_transcript, публичные субтитры). ОБЯЗАТЕЛЬНО используй этот скилл когда: (1) пользователь присылает YouTube ссылку (youtube.com, youtu.be), (2) просит рассказать о чём видео, (3) просит транскрипт/субтитры, (4) говорит «что в этом видео», «о чём ролик», «перескажи видео», (5) любой запрос связанный с содержимым YouTube видео. Триггеры: YouTube ссылка, «транскрипт», «о чём видео», «что говорят в видео», «перескажи ролик», «summarize video», «get transcript». НЕ использовать yt-dlp, youtube-transcript-api и сайты транскриптов -- только этот скилл.
- Reads credentials
11 other projects use a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- microsoft/amplifier-bundle-context-intelligencetheir own version, first seen Nov 6, 2026
- notegpt-official/notegpt-skillstheir own version, first seen Nov 6, 2026
- tandregbg/core-claude-skillstheir own version, first seen Nov 4, 2026
- geekatron/jerrytheir own version, first seen Nov 1, 2026
- jantichy/claudetheir own version, first seen Oct 27, 2026
- Gopyr/gopyr-skills-hubtheir own version, first seen Oct 11, 2026
Other versions11 projects use a version of this.
Word for word · 0
None found.
Edited · 1
- ZeroPointRepo/youtube-skills★ 97213% same
Wrote their own version · 10
- artemchuikin/youtube-skills★ 273same name
- jantichy/claude★ 45same name
- geekatron/jerry★ 37same name
- coopersimson96/ai-content-system★ 17same name
- notegpt-official/notegpt-skills★ 16same name
- tutorgpt-io/tutorgpt-skills★ 15same name
- microsoft/amplifier-bundle-context-intelligence★ 5same name
- tandregbg/core-claude-skills★ 4same name
- mrboups/xbrain★ 2same name
- Gopyr/gopyr-skills-hub★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository43 other files it gives its agents.
- agent-browserSkill
- agent-introspectionSkill
- agentos-contentSkill
- carousel-instagramSkill
- chat-archiveSkill
- codex-imageSkill
- content-engineSkill
- cross-reviewSkill
- datawrapperSkill
- dev-pipelineSkill
- excalidrawSkill
- fast-loop-codingSkill
- groq-voiceSkill
- higgsfield-generateSkill
- higgsfield-marketplace-cardsSkill
- higgsfield-product-photoshootSkill
- higgsfield-soul-idSkill
- instagram-superpowerSkill
- learningsSkill
- loop-codingSkill
- markdown-newSkill
- mcp-api-buildSkill
- mcp-builderSkill
- memory-auditSkill
- miro-boardSkill
- perplexity-researchSkill
- presentSkill
- reel-radarSkill
- reels-analytics-for-brokersSkill
- reelsSkill
- remote-agent-desktopSkill
- security-auditSkill
- senior-brainstormSkill
- seo-tuneSkill
- server-doctorSkill
- telegram-chipSkill
- threads-contentSkill
- topic-monitorSkill
- twitterSkill
- workshopSkill
- youtube-producerSkill
- youtube-thumbnailSkill
- yt-researchSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 0 are distinctive, and 3 are very specific to this project.
0
Common
Most of the 7 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 30
If $LOORE_API_KEY is not set, ask the user to create a key: https://app.loore.ai → Настройки → API и MCP (the plaintext is shown once).
- Very specific: line 67
Default: always use --timestamps unless the user asks otherwise.
- Very specific: line 114
Use --json --timestamps when you need precise timestamps for quoting specific moments.
“Common” is measured: kept by at least 6 in 10 of the 7 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Transcript
Fetch YouTube video transcripts via Loore — tool yt_transcript
(docs: https://docs.loore.ai). It reads the video's public captions, any length, no AI
transcription; works for videos and Shorts.
YouTube data comes only from Loore or the official YouTube Data API v3. The official API cannot
download captions of other people's videos (captions.download works only for videos you can
edit), so Loore is the only path here. Never fetch transcripts with yt-dlp, innertube or
transcript sites from your own machine.
Setup
If $LOORE_API_KEY is not set, ask the user to create a key: https://app.loore.ai →
Настройки → API и MCP (the plaintext is shown once). Then:
export LOORE_API_KEY="..." # never in chat, logs or gitSpend approval. A transcript costs 2 credits, only when one is returned (no captions = free;
continuing a long transcript is free). The title header adds one yt_video call (1.5 credits).
State the cap to the user once, and after their «yes» create a 24-hour budget:
python3 ./scripts/_loore.py approve --flow transcript --cap 20
export LOORE_SPEND_AUTHORIZATION_ID=<printed id>The script sends spend_authorization_id with every paid call. Without it Loore answers
428 needs_user_confirmation.
MCP instead of the script. Tool yt_transcript on https://mcp.loore.ai/mcp
(header Authorization: Bearer <key>) takes the same arguments.
Get a transcript
python3 ./scripts/yt_transcript.py "VIDEO_URL" --timestamps| Flag | Default | Meaning |
VIDEO_URL | — | YouTube URL (watch, youtu.be, shorts, live) or 11-char video ID |
--timestamps | off | timed lines [hh:mm:ss] text (Loore include_timestamps) |
--json | off | JSON instead of text |
--lang | auto | caption language, e.g. ru, en, en-US (Loore language) |
--original | off | only captions in the original spoken language (original_audio) |
--no-meta | off | skip the # title — channel header (saves the yt_video call) |
Default: always use --timestamps unless the user asks otherwise.
Long transcripts come in windows (up to 40000 characters or 400 segments each, truncated /
nextOffset); the script reads all of them.
Output (text, --timestamps):
# Rick Astley - Never Gonna Give You Up — Rick Astley
[00:00:18] We're no strangers to love
[00:00:21] You know the rules and so do IOutput (--json --timestamps):
{
"video_id": "dQw4w9WgXcQ",
"language": "en",
"transcript": [
{ "text": "We're no strangers to love", "start": 18.0, "duration": 3.5 },
{ "text": "You know the rules and so do I", "start": 21.5, "duration": 2.8 }
],
"metadata": {
"title": "Rick Astley - Never Gonna Give You Up",
"author_name": "Rick Astley"
}
}Without --timestamps, transcript is one string.
Errors
| Exit / code | Meaning | Action |
| exit 3 | LOORE_API_KEY not set | Set the key (Setup) |
| 401 | Bad or revoked key | Check the key in app.loore.ai |
| 402 | Out of credits / plan quota | Stop and tell the user |
| 428 | Spend approval needed | Create the budget (Setup) |
| 429 | Rate limited | The script waits Retry-After; longer than 120 s – exit 4 with the time to rerun |
| exit 4 / 404 | No captions (or no captions in --lang) | The script lists the caption languages the video has |
Tips
- For long videos, summarize key points first, offer full transcript on request.
- Use
--json --timestampswhen you need precise timestamps for quoting specific moments. - Drop
--timestampsfor clean text suitable for translation or analysis. - Pick the track:
yt_videolistscaptionLanguages; pass one as--lang.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

