Video Transcribe
wendy7756/AI-Video-Transcriber
Transcribe and summarize a video or podcast from a URL (YouTube, TikTok, Bilibili, Apple Podcasts, SoundCloud, 30+ platforms) or from a local media/.txt file.
Video & Podcast Digest — send a video/podcast link, get full transcript + structured summary.
$ npx skills add iBigQiang/feedgrab --skill video -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install iBigQiang/feedgrab video --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/iBigQiang/feedgrab.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/video .claude/skills/video && rm -rf skills-srcUse ~/.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/
Install the "video" agent skill from https://github.com/iBigQiang/feedgrab/tree/main/skills/video into .claude/skills/video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/iBigQiang/feedgrab/tree/main/skills/videoType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add iBigQiang/feedgrab --skill video -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install iBigQiang/feedgrab video --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/iBigQiang/feedgrab.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/video .agents/skills/video && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "video" agent skill from https://github.com/iBigQiang/feedgrab/tree/main/skills/video into .agents/skills/video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add iBigQiang/feedgrab --skill video -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install iBigQiang/feedgrab video --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/iBigQiang/feedgrab.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/video .cursor/skills/video && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "video" agent skill from https://github.com/iBigQiang/feedgrab/tree/main/skills/video into .cursor/skills/video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/iBigQiang/feedgrab.git --path skills/video--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add iBigQiang/feedgrab --skill video -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install iBigQiang/feedgrab video --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/iBigQiang/feedgrab.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/video .gemini/skills/video && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "video" agent skill from https://github.com/iBigQiang/feedgrab/tree/main/skills/video into .gemini/skills/video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install iBigQiang/feedgrab videoInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add iBigQiang/feedgrab --skill video -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/iBigQiang/feedgrab.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/video .github/skills/video && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "video" agent skill from https://github.com/iBigQiang/feedgrab/tree/main/skills/video into .github/skills/video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add iBigQiang/feedgrab --skill video -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install iBigQiang/feedgrab video --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/iBigQiang/feedgrab.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/video .opencode/skills/video && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "video" agent skill from https://github.com/iBigQiang/feedgrab/tree/main/skills/video into .opencode/skills/video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
videoVideo & Podcast Digest — send a video/podcast link, get full transcript + structured summary.
Video is an agent skill from iBigQiang/feedgrab. Video & Podcast Digest — send a video/podcast link, get full transcript + structured summary. Supports YouTube, Bilibili, X/Twitter video, Xiaoyuzhou, Apple Podcasts, and direct audio/video links. Uses yt-dlp for subtitles and Groq Whisper for transcription.
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Media & Creative, covering Transcription and Podcasting. It works with Bilibili, X (Twitter) and YouTube. The repository describes itself as: Universal content grabber — fetch, normalize, and digest content from 7+ platforms (WeChat, XHS, X/Twitter, YouTube, Bilibili, Telegram, RSS). The licence is MIT.
2 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 04291ba. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
curlyt-dlppython3ffmpegffprobeFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
bilibili.comconsole.groq.comapi.bilibili.comapi.groq.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
GROQ_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Video loads about 1.6k tokens when it runs. Until then it costs about 66 tokens; SKILL.md has 349 words of instructions outside code blocks.
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.
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.
The full file from iBigQiang/feedgrab at commit 04291ba, republished under its MIT licence (© iBigQiang). 349 words, ~1,588 tokens.
.claude/skills/video/SKILL.md (or your agent's skills folder).Send a video/podcast link → get full transcript + structured summary
| Platform | Type | Subtitles | Whisper Transcription |
|---|---|---|---|
| YouTube | Video | ✅ | ✅ |
| Bilibili | Video | ✅ | ✅ |
| X/Twitter | Video | ❌ | ✅ |
| Xiaoyuzhou (小宇宙) | Podcast | ❌ | ✅ |
| Apple Podcasts | Podcast | ❌ | ✅ |
| Direct links (mp3/mp4/m3u8) | Any | ❌ | ✅ |
Auto-triggered when a media URL is detected:
youtube.com, youtu.bebilibili.com, b23.tvx.com, twitter.com (tweets with video)xiaoyuzhoufm.compodcasts.apple.com.mp3, .mp4, .m3u8, .m4a, .webm| URL Pattern | Type | Pipeline |
|---|---|---|
xiaoyuzhoufm.com/episode/ | Podcast | → Step 1b (Xiaoyuzhou) |
podcasts.apple.com | Podcast | → Step 1c (Apple) |
bilibili.com, b23.tv | Video | → Step 1d (Bilibili API) |
.mp3, .m4a direct link | Audio | → Step 2b (direct download) |
| Other | Video | → Step 1a (subtitle extraction) |
rm -f /tmp/media_sub*.vtt /tmp/media_audio.mp3 /tmp/media_transcript*.json /tmp/media_segment_*.mp3 2>/dev/null || true
# YouTube (prefer English, fallback Chinese)
yt-dlp --skip-download --write-auto-sub --sub-lang "en,zh-Hans" -o "/tmp/media_sub" "VIDEO_URL"
# Bilibili
yt-dlp --skip-download --write-auto-sub --sub-lang "zh-Hans,zh" -o "/tmp/media_sub" "VIDEO_URL"Check for subtitles:
ls /tmp/media_sub*.vtt 2>/dev/nullAUDIO_URL=$(curl -sL -H "User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36" \
"EPISODE_URL" \
| grep -oE 'https://media\.xyzcdn\.net/[^"]+\.(m4a|mp3)' \
| head -1)
echo "Audio URL: $AUDIO_URL"
curl -L -o /tmp/media_audio.mp3 "$AUDIO_URL"→ Step 2b
yt-dlp -f "ba[ext=m4a]/ba/b" --extract-audio --audio-format mp3 --audio-quality 5 \
-o "/tmp/media_audio.%(ext)s" "APPLE_PODCAST_URL"→ Step 2b
BV="BV1xxxxx"
curl -s "https://api.bilibili.com/x/web-interface/view?bvid=$BV" \
-H "User-Agent: Mozilla/5.0" -H "Referer: https://www.bilibili.com/" \
| python3 -c "import json,sys; d=json.load(sys.stdin)['data']; print(f\"Title: {d['title']}\nDuration: {d['duration']}s\nCID: {d['cid']}\")"
CID=<CID from previous step>
AUDIO_URL=$(curl -s "https://api.bilibili.com/x/player/playurl?bvid=$BV&cid=$CID&fnval=16&qn=64" \
-H "User-Agent: Mozilla/5.0" -H "Referer: https://www.bilibili.com/" \
| python3 -c "import json,sys; print(json.load(sys.stdin)['data']['dash']['audio'][0]['baseUrl'])")
curl -L -o /tmp/media_audio.m4s \
-H "User-Agent: Mozilla/5.0" -H "Referer: https://www.bilibili.com/" "$AUDIO_URL"
ffmpeg -y -i /tmp/media_audio.m4s -acodec libmp3lame -q:a 5 /tmp/media_audio.mp3→ Step 2b
yt-dlp --cookies-from-browser chrome -f "ba[ext=m4a]/ba/b" --extract-audio --audio-format mp3 --audio-quality 5 \
-o "/tmp/media_audio.%(ext)s" "VIDEO_URL"FILE_SIZE=$(stat -f%z /tmp/media_audio.* 2>/dev/null || stat -c%s /tmp/media_audio.* 2>/dev/null)
echo "File size: $FILE_SIZE bytes"DURATION=$(ffprobe -v error -show_entries format=duration -of csv=p=0 /tmp/media_audio.* | head -1)
SEGMENT_SEC=600
SEGMENTS=$(python3 -c "import math; print(math.ceil(float('$DURATION')/$SEGMENT_SEC))")
for i in $(seq 0 $((SEGMENTS-1))); do
START=$((i * SEGMENT_SEC))
ffmpeg -y -i /tmp/media_audio.* -ss $START -t $SEGMENT_SEC -acodec libmp3lame -q:a 5 \
"/tmp/media_segment_${i}.mp3" 2>/dev/null
done→ Call Step 2c for each segment sequentially (parallel triggers Groq 524 timeout)
Prerequisite: GROQ_API_KEY environment variable
if [ -z "$GROQ_API_KEY" ]; then
echo "❌ GROQ_API_KEY not set. Get one at: https://console.groq.com/keys"
exit 1
fi
curl -s -X POST "https://api.groq.com/openai/v1/audio/transcriptions" \
-H "Authorization: Bearer $GROQ_API_KEY" \
-H "Content-Type: multipart/form-data" \
-F "file=@AUDIO_FILE" \
-F "model=whisper-large-v3-turbo" \
-F "response_format=verbose_json" \
-F "language=zh" \
> /tmp/media_transcript.json
python3 -c "import json; print(json.load(open('/tmp/media_transcript.json'))['text'])"Video (≤20 min):
Podcast (>20 min):
| Situation | Action |
|---|---|
| No subtitles + no GROQ_API_KEY | Prompt user to set API key |
| Audio >25MB | ffmpeg segment (10min/segment), transcribe sequentially |
| Podcast >2 hours | Warn user, confirm before proceeding |
| Groq 524 timeout | Do NOT parallelize — transcribe sequentially, sleep 5-8s between |
| Groq 429 rate limit | Wait for retry-after header, then retry |
| yt-dlp Bilibili 412 | Use Bilibili API instead (Step 1d) |
| yt-dlp YouTube bot detection | Add --cookies-from-browser chrome |
| Spotify links | Not supported (DRM protected) |
yt-dlp: video download + subtitle extractionffmpeg: audio conversion + segmentationcurl: audio download, API callsGROQ_API_KEY: Whisper transcription (free at https://console.groq.com/keys)© iBigQiang, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/video of iBigQiang/feedgrab.
Open the folder on GitHubat commit 04291ba
Video 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Video this skilliBigQiang/feedgrab | 614 | — | ~1.6k | Automated safety check: Pass | MIT | |
| Video Transcribewendy7756/AI-Video-Transcriber | 3.3k | — | ~937 | Automated safety check: Notes | Apache-2.0 | |
| Ra Video DownloadPluviobyte/rnskill | 1.6k | — | ~861 | Automated safety check: Notes | Custom licence | |
| Yt Dlp DownloaderMapleShaw/yt-dlp-downloader-skill | 209 | 1 repos | ~1.5k | Automated safety check: Pass | None | |
| Videohub Youtubecacity/VideoHub | 168 | — | ~550 | Automated safety check: Pass | MIT | |
| Multi-Source to NotebookLM Processorjoeseesun/qiaomu-anything-to-notebooklm | 6.2k | — | ~3.6k | Automated safety check: Pass | MIT |
wendy7756/AI-Video-Transcriber
Transcribe and summarize a video or podcast from a URL (YouTube, TikTok, Bilibili, Apple Podcasts, SoundCloud, 30+ platforms) or from a local media/.txt file.
Pluviobyte/rnskill
Download source video or audio from Douyin, YouTube, Bilibili, Twitter/X, Xiaohongshu, and other yt-dlp-supported URLs into the content-creation workspace.
MapleShaw/yt-dlp-downloader-skill
Download videos from YouTube, Bilibili, Twitter, and thousands of other sites using yt-dlp.
cacity/VideoHub
处理 YouTube、Twitter(X)、Bilibili 和本地音视频/文本的转写、字幕、翻译与总结。优先复用 src/youtubetranscriber.py 现有 CLI。
joeseesun/qiaomu-anything-to-notebooklm
Collects content from WeChat articles, web pages, YouTube, podcasts, documents and more, uploads it to NotebookLM and generates podcasts, slides or mind maps.
ysyecust/lecture-to-notes
A skill your agent uses when users provide YouTube, Bilibili, or X/Twitter lecture URLs and want reader-first Chinese LaTeX/PDF notes with source-faithful claims, fluent authored prose, and verified…
iBigQiang/feedgrab
Content Analyzer — any content (URL, text, transcript) into structured analysis report with actionable insights.
iBigQiang/feedgrab
Universal content grabber — fetch any URL and return structured Markdown.
iBigQiang/feedgrab
Batch content grabber — bulk fetch bookmarks, user tweets, search results, author notes, wiki pages, subreddit posts, and more from X/Twitter, Xiaohongshu, Reddit, WeChat, YouTube, Feishu, Zhihu.
iBigQiang/feedgrab
Install and configure feedgrab — the universal content grabber.
Works with
Categories
Video & Podcast Digest — send a video/podcast link, get full transcript + structured summary. Video is an agent skill from iBigQiang/feedgrab. Video & Podcast Digest — send a video/podcast link, get full transcript + structured summary.
Video fits situations like: tasks that involve Transcription; tasks that involve Podcasting.
Run `npx skills add iBigQiang/feedgrab --skill video -a claude-code`. Or copy the skill folder (skills/video in iBigQiang/feedgrab) into .claude/skills/video in your project. Claude Code loads it when a task matches its description.
Run `npx skills add iBigQiang/feedgrab --skill video -a codex`. Or copy the skill folder (skills/video in iBigQiang/feedgrab) into .agents/skills/video in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add iBigQiang/feedgrab --skill video -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/video, .gemini/skills/video, .github/skills/video and .opencode/skills/video in your project.
Going by SKILL.md and its folder, Video needs the command-line tools its instructions call (curl, yt-dlp, python3, ffmpeg and ffprobe) and credentials named GROQ_API_KEY. Our summary lists: Python 3; A credential in GROQ_API_KEY.
SKILL.md names 4 domains. In commands or code: bilibili.com, console.groq.com, api.bilibili.com and api.groq.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.
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.
Video is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.6k tokens (SKILL.md is roughly 6.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Video: Video Transcribe (wendy7756/AI-Video-Transcriber, 3.3k stars), Ra Video Download (Pluviobyte/rnskill, 1.6k stars), Yt Dlp Downloader (MapleShaw/yt-dlp-downloader-skill, 209 stars) and Videohub Youtube (cacity/VideoHub, 168 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
iBigQiang (a GitHub user) maintains it in iBigQiang/feedgrab, which has 614 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on September 8, 2026.
Source: iBigQiang/feedgrab on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.