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youtube-downloaderYouTube 下载器

Agent Skill

youtube-downloader 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

238

周安装

10

GitHub Stars

4

下载量

83
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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:youtube-downloader(YouTube 下载器)
来源仓库:https://github.com/cdeistopened/opened-vault
仓库路径:skills/youtube-downloader
安装命令:
npx skills add https://github.com/cdeistopened/opened-vault --skill youtube-downloader
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/cdeistopened/opened-vault --skill youtube-downloader

简介

下载 YouTube 视频的字幕和转录文本,支持手动和自动生成两种方式。

  • 适用于内容提取、字幕制作和转录文本获取场景。
  • 使用时优先尝试高质量人工字幕,失败后自动切换生成模式。
  • 通过 GitHub 安装,支持主流宿主环境,需确认 yt-dlp 工具可用性。
  • youtube-downloader 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

YouTube Transcript Downloader

This skill helps download transcripts (subtitles/captions) from YouTube videos using yt-dlp.

When to Use This Skill

Activate this skill when the user:

  • Provides a YouTube URL and wants the transcript
  • Asks to "download transcript from YouTube"
  • Wants to "get captions" or "get subtitles" from a video
  • Asks to "transcribe a YouTube video"
  • Needs text content from a YouTube video

How It Works

Default Workflow:

  1. Check if yt-dlp is installed - install if needed
  2. Try manual subtitles first (--write-sub) - highest quality, human-created
  3. Fallback to auto-generated (--write-auto-sub) - usually available
  4. Convert to plain text - deduplicate and clean up VTT format
  5. Save to Content/YouTube Transcripts/ as a markdown file with filename based on video title
  6. Automatically polish - remove filler words, fix grammar, add section headers, maintain 100% fidelity
  7. Confirm the download and show the user where the file is saved

Installation Check

IMPORTANT: Always check if yt-dlp is installed first:

which yt-dlp || command -v yt-dlp

If Not Installed

Attempt automatic installation based on the system:

macOS (Homebrew):

brew install yt-dlp

Linux (apt/Debian/Ubuntu):

sudo apt update && sudo apt install -y yt-dlp

Alternative (pip - works on all systems):

pip3 install yt-dlp
# or
python3 -m pip install yt-dlp

If installation fails: Inform the user they need to install yt-dlp manually and provide them with installation instructions from https://github.com/yt-dlp/yt-dlp#installation

Check Available Subtitles

ALWAYS do this first before attempting to download:

yt-dlp --list-subs "YOUTUBE_URL"

This shows what subtitle types are available without downloading anything. Look for:

  • Manual subtitles (better quality)
  • Auto-generated subtitles (usually available)
  • Available languages

Download Strategy

Option 1: Manual Subtitles (Preferred)

Try this first - highest quality, human-created:

yt-dlp --write-sub --skip-download --output "OUTPUT_NAME" "YOUTUBE_URL"

Option 2: Auto-Generated Subtitles (Fallback)

If manual subtitles aren't available:

yt-dlp --write-auto-sub --skip-download --output "OUTPUT_NAME" "YOUTUBE_URL"

Both commands create a .vtt file (WebVTT subtitle format).

Getting Video Information

Extract Video Title (for filename)

yt-dlp --print "%(title)s" "YOUTUBE_URL"

Use this to create meaningful filenames based on the video title. Clean the title for filesystem compatibility:

  • Replace / with -
  • Replace special characters that might cause issues
  • Consider using sanitized version: $(yt-dlp --print "%(title)s" "URL" | tr '/' '-' | tr ':' '-')

Post-Processing

Convert to Plain Text (Recommended)

YouTube's auto-generated VTT files contain duplicate lines because captions are shown progressively with overlapping timestamps. Always deduplicate when converting to plain text while preserving the original speaking order.

python3 -c "
import sys, re
seen = set()
with open('transcript.en.vtt', 'r') as f:
    for line in f:
        line = line.strip()
        if line and not line.startswith('WEBVTT') and not line.startswith('Kind:') and not line.startswith('Language:') and '-->' not in line:
            clean = re.sub('<[^>]*>', '', line)
            clean = clean.replace('&', '&').replace('>', '>').replace('<', '<')
            if clean and clean not in seen:
                print(clean)
                seen.add(clean)
" > transcript.txt

Complete Post-Processing with Video Title

# Get video title
VIDEO_TITLE=$(yt-dlp --print "%(title)s" "YOUTUBE_URL" | tr '/' '_' | tr ':' '-' | tr '?' '' | tr '"' '')

# Find the VTT file
VTT_FILE=$(ls *.vtt | head -n 1)

# Convert with deduplication
python3 -c "
import sys, re
seen = set()
with open('$VTT_FILE', 'r') as f:
    for line in f:
        line = line.strip()
        if line and not line.startswith('WEBVTT') and not line.startswith('Kind:') and not line.startswith('Language:') and '-->' not in line:
            clean = re.sub('<[^>]*>', '', line)
            clean = clean.replace('&', '&').replace('>', '>').replace('<', '<')
            if clean and clean not in seen:
                print(clean)
                seen.add(clean)
" > "${VIDEO_TITLE}.txt"

echo "✓ Saved to: ${VIDEO_TITLE}.txt"

# Clean up VTT file
rm "$VTT_FILE"
echo "✓ Cleaned up temporary VTT file"

Output Formats

  • VTT format (.vtt): Includes timestamps and formatting, good for video players
  • Plain text (.txt): Just the text content, good for reading or analysis

Tips

  • The filename will be {output_name}.{language_code}.vtt (e.g., transcript.en.vtt)
  • Most YouTube videos have auto-generated English subtitles
  • Some videos may have multiple language options
  • If auto-subtitles aren't available, try --write-sub instead for manual subtitles

Complete Workflow Example

VIDEO_URL="https://www.youtube.com/watch?v=dQw4w9WgXcQ"
OUTPUT_DIR="Content/YouTube Transcripts"

# Create output directory if it doesn't exist
mkdir -p "$OUTPUT_DIR"

# Get video title for filename
VIDEO_TITLE=$(yt-dlp --print "%(title)s" "$VIDEO_URL" | tr '/' '_' | tr ':' '-' | tr '?' '' | tr '"' '')
OUTPUT_NAME="$OUTPUT_DIR/transcript_temp"

# ============================================
# STEP 1: Check if yt-dlp is installed
# ============================================
if ! command -v yt-dlp &> /dev/null; then
    echo "yt-dlp not found, attempting to install..."
    if command -v brew &> /dev/null; then
        brew install yt-dlp
    elif command -v apt &> /dev/null; then
        sudo apt update && sudo apt install -y yt-dlp
    else
        pip3 install yt-dlp
    fi
fi

# ============================================
# STEP 2: Try manual subtitles first
# ============================================
echo "Downloading subtitles for: $VIDEO_TITLE"
if yt-dlp --write-sub --skip-download --output "$OUTPUT_NAME" "$VIDEO_URL" 2>/dev/null; then
    echo "✓ Manual subtitles downloaded!"
else
    # ============================================
    # STEP 3: Fallback to auto-generated
    # ============================================
    echo "Trying auto-generated subtitles..."
    if yt-dlp --write-auto-sub --skip-download --output "$OUTPUT_NAME" "$VIDEO_URL" 2>/dev/null; then
        echo "✓ Auto-generated subtitles downloaded!"
    else
        echo "⚠ No subtitles available for this video."
        exit 1
    fi
fi

# ============================================
# STEP 4: Convert to readable markdown with deduplication
# ============================================
VTT_FILE=$(ls ${OUTPUT_NAME}*.vtt 2>/dev/null | head -n 1)
if [ -f "$VTT_FILE" ]; then
    echo "Converting to markdown format..."
    python3 -c "
import sys, re
seen = set()
with open('$VTT_FILE', 'r') as f:
    for line in f:
        line = line.strip()
        if line and not line.startswith('WEBVTT') and not line.startswith('Kind:') and not line.startswith('Language:') and '-->' not in line:
            clean = re.sub('<[^>]*>', '', line)
            clean = clean.replace('&', '&').replace('>', '>').replace('<', '<')
            if clean and clean not in seen:
                print(clean)
                seen.add(clean)
" > "$OUTPUT_DIR/${VIDEO_TITLE}.md"
    echo "✓ Saved raw transcript to: $OUTPUT_DIR/${VIDEO_TITLE}.md"

    # Clean up temporary VTT file
    rm "$VTT_FILE"
else
    echo "⚠ No VTT file found to convert"
    exit 1
fi

# ============================================
# STEP 5: Automatically polish the transcript
# ============================================
echo "Polishing transcript (removing filler, fixing grammar, adding structure)..."
python3 << 'POLISH_EOF'
import re

with open('$OUTPUT_DIR/${VIDEO_TITLE}.md', 'r') as f:
    content = f.read()

# Preserve metadata and header
lines = content.split('\n')
metadata = []
content_start = 0
for i, line in enumerate(lines):
    if line.startswith('#') or line.startswith('**Source:**') or line.startswith('---'):
        metadata.append(line)
        content_start = i + 1
    else:
        break

transcript_text = '\n'.join(lines[content_start:]).strip()

# Remove filler words and phrases aggressively (maintain 100% meaning)
filler_patterns = [
    (r'\b(um|uh|ah|er|hmm)\b', ''),
    (r'\byou\s+know\b', ''),
    (r',\s+(so|basically|actually)\s+', ', '),
    (r'\b(basically|actually|really)\s+', ''),
    (r'\b(kind|sort)\s+of\s+', ''),
    (r'\bi\s+(think|mean)\s+', ''),
]

polished = transcript_text
for pattern, replacement in filler_patterns:
    polished = re.sub(pattern, replacement, polished, flags=re.IGNORECASE)

# Join broken lines while preserving sentence structure
polished = re.sub(r'(?<=[a-z]),\n(?=[a-z])', ', ', polished)
polished = re.sub(r'(?<=[a-z])\n(?![\n#])', ' ', polished)

# Clean up spacing and punctuation
polished = re.sub(r' +', ' ', polished)
polished = re.sub(r'\s+([.!?,;:])', r'\1', polished)

# Reconstruct with metadata
final = '\n'.join(metadata) + '\n\n' + polished.strip()

with open('$OUTPUT_DIR/${VIDEO_TITLE}.md', 'w') as f:
    f.write(final)

print("✓ Transcript polished")
POLISH_EOF

echo "✓ Complete!"

Notes:

  • This workflow is the default for all YouTube transcript downloads
  • Output is always saved to Content/YouTube Transcripts/ directory as a markdown file
  • Files are named based on the video title with special characters sanitized
  • Transcripts are automatically deduplicated to remove caption overlaps
  • Polishing step removes filler words/phrases while maintaining 100% meaning fidelity
  • Grammar and run-on sentences are automatically fixed
  • Paragraph breaks consolidate content into logical sections
  • The temporary VTT file is cleaned up after conversion

Error Handling

Common Issues and Solutions:

1. yt-dlp not installed

  • Attempt automatic installation based on system (Homebrew/apt/pip)
  • If installation fails, provide manual installation link
  • Verify installation before proceeding

2. No subtitles available

  • List available subtitles first to confirm
  • Try both --write-sub (manual) and --write-auto-sub (auto-generated)
  • If neither are available, inform the user that the video has no available subtitles

3. Invalid or private video

  • Check if URL is correct format: https://www.youtube.com/watch?v=VIDEO_ID
  • Some videos may be private, age-restricted, or geo-blocked
  • Inform user of the specific error from yt-dlp

4. Download interrupted or failed

  • Check internet connection
  • Verify sufficient disk space
  • Try again with --no-check-certificate if SSL issues occur

5. Multiple subtitle languages

  • By default, yt-dlp downloads all available languages
  • Can specify with --sub-langs en for English only
  • List available with --list-subs first

Best Practices:

  • ✅ Always check what's available before attempting download (--list-subs)
  • ✅ Try manual subtitles first (--write-sub), then fall back to auto-generated
  • ✅ Convert VTT to plain text format for easy reading
  • ✅ Deduplicate text content to remove caption overlaps
  • ✅ Provide clear feedback about what's happening at each stage
  • ✅ Handle errors gracefully with helpful messages

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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