Agent skill

Video

by iBigQiang in iBigQiang/feedgrab

Video & Podcast Digest — send a video/podcast link, get full transcript + structured summary.

MITAuto-check passedMedia & Creative

Install Video

skills CLI
$ npx skills add iBigQiang/feedgrab --skill video -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install iBigQiang/feedgrab video --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-src

Use ~/.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/

Facts

Skill name
video
GitHub stars
614
Token cost
~1.6k tokens
SKILL.md length
349 words
Files
1
Skills in repo
5
Repo updated
First seen
Licence
MIT

At a glance

Video & Podcast Digest — send a video/podcast link, get full transcript + structured summary.

  • Works in 2 steps: Detect Media Type → Structured Summary
  • Tasks that involve Transcription
  • SKILL.md covers Supported Platforms, Trigger, Pipeline and Error Handling, plus 1 more section
  • Calls curl, yt-dlp and python3; reaches bilibili.com and console.groq.com; needs GROQ_API_KEY

What it does

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.

When your agent uses it

  • Tasks that involve Transcription
  • Tasks that involve Podcasting

Example prompts

  • “/video”

Requirements

  • Python 3
  • A credential in GROQ_API_KEY

Workflow steps

2 steps, taken from the step headings in SKILL.md.

  1. Detect Media Type
  2. Structured Summary

What it can do on your machine

Read from SKILL.md and the folder at commit 04291ba. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    Shell commands in SKILL.md call:

    • curl
    • yt-dlp
    • python3
    • ffmpeg
    • ffprobe

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • bilibili.com
    • console.groq.com
    • api.bilibili.com
    • api.groq.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • GROQ_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

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.

Always · name and description, kept in context so the agent knows when to use it
~66
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from iBigQiang/feedgrab at commit 04291ba, republished under its MIT licence (© iBigQiang). 349 words, ~1,588 tokens.

Download SKILL.mdSave it as .claude/skills/video/SKILL.md (or your agent's skills folder).
name
video
description
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.

Video & Podcast Digest Skill

Send a video/podcast link → get full transcript + structured summary

Supported Platforms

PlatformTypeSubtitlesWhisper Transcription
YouTubeVideo✅✅
BilibiliVideo✅✅
X/TwitterVideo❌✅
Xiaoyuzhou (小宇宙)Podcast❌✅
Apple PodcastsPodcast❌✅
Direct links (mp3/mp4/m3u8)Any❌✅

Trigger

Auto-triggered when a media URL is detected:

  • YouTube: youtube.com, youtu.be
  • Bilibili: bilibili.com, b23.tv
  • X/Twitter: x.com, twitter.com (tweets with video)
  • Xiaoyuzhou: xiaoyuzhoufm.com
  • Apple Podcasts: podcasts.apple.com
  • Direct: .mp3, .mp4, .m3u8, .m4a, .webm

Pipeline

Step 0: Detect Media Type
URL PatternTypePipeline
xiaoyuzhoufm.com/episode/Podcast→ Step 1b (Xiaoyuzhou)
podcasts.apple.comPodcast→ Step 1c (Apple)
bilibili.com, b23.tvVideo→ Step 1d (Bilibili API)
.mp3, .m4a direct linkAudio→ Step 2b (direct download)
OtherVideo→ Step 1a (subtitle extraction)
Step 1a: Video — Extract Subtitles
bash
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:

bash
ls /tmp/media_sub*.vtt 2>/dev/null
  • Has subtitles → Read VTT content, skip to Step 3
  • No subtitles → Step 2a (download audio)
Step 1b: Xiaoyuzhou (小宇宙) — Extract Audio URL
bash
AUDIO_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

Step 1c: Apple Podcasts — via yt-dlp
bash
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

Step 1d: Bilibili — API Direct Audio Stream
bash
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

Step 2a: Video — Download Audio (when no subtitles)
bash
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"
Step 2b: Check Audio Size & Segment
bash
FILE_SIZE=$(stat -f%z /tmp/media_audio.* 2>/dev/null || stat -c%s /tmp/media_audio.* 2>/dev/null)
echo "File size: $FILE_SIZE bytes"
  • ≤ 25MB → Step 2c (transcribe directly)
  • > 25MB → Split into 10-minute segments:
bash
DURATION=$(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)

Step 2c: Whisper Transcription

Prerequisite: GROQ_API_KEY environment variable

bash
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'])"
Step 3: Structured Summary

Video (≤20 min):

  1. Overview (1-2 sentences)
  2. Key Points (3-5 bullet points)
  3. Notable Quotes (if any)
  4. Action Items (if applicable)

Podcast (>20 min):

  1. Overview (2-3 sentences)
  2. Chapter Summary (segmented by topic)
  3. Key Points (5-8 bullet points)
  4. Notable Quotes
  5. Action Items (if applicable)

Error Handling

SituationAction
No subtitles + no GROQ_API_KEYPrompt user to set API key
Audio >25MBffmpeg segment (10min/segment), transcribe sequentially
Podcast >2 hoursWarn user, confirm before proceeding
Groq 524 timeoutDo NOT parallelize — transcribe sequentially, sleep 5-8s between
Groq 429 rate limitWait for retry-after header, then retry
yt-dlp Bilibili 412Use Bilibili API instead (Step 1d)
yt-dlp YouTube bot detectionAdd --cookies-from-browser chrome
Spotify linksNot supported (DRM protected)

Dependencies

  • yt-dlp: video download + subtitle extraction
  • ffmpeg: audio conversion + segmentation
  • curl: audio download, API calls
  • GROQ_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

Files

Just SKILL.md in skills/video of iBigQiang/feedgrab.

Open the folder on GitHubat commit 04291ba

Compare with similar skills

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.

Video compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Video this skilliBigQiang/feedgrab614—~1.6kAutomated safety check: PassMIT
Video Transcribewendy7756/AI-Video-Transcriber3.3k—~937Automated safety check: NotesApache-2.0
Ra Video DownloadPluviobyte/rnskill1.6k—~861Automated safety check: NotesCustom licence
Yt Dlp DownloaderMapleShaw/yt-dlp-downloader-skill2091 repos~1.5kAutomated safety check: PassNone
Videohub Youtubecacity/VideoHub168—~550Automated safety check: PassMIT
Multi-Source to NotebookLM Processorjoeseesun/qiaomu-anything-to-notebooklm6.2k—~3.6kAutomated safety check: PassMIT

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Questions about Video

What does Video do?

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.

When should I use Video?

Video fits situations like: tasks that involve Transcription; tasks that involve Podcasting.

How do I install Video in Claude Code?

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.

How do I install Video in Codex?

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.

Can I use Video in Cursor, Gemini CLI or GitHub Copilot?

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.

What does Video need to run?

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.

Does Video access the network?

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.

Is Video safe to install?

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.

What licence does Video use?

Video is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Video use?

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.

What are the alternatives to Video?

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.

Who maintains Video?

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.