smithery.ai

bulk-summarize

This skill should be used when the user asks to "summarize videos", "summarize podcasts", "research a topic using media", "bulk summarize content", "scan YouTube channels", "scan podcast feeds", "create podcast notes", "digest conference talks", "summarize Apple Podcasts", or mentions video/podcast research, media summarization, or bulk content processing.

First seen Mar 22, 2026

Installation

$ npx skills add https://smithery.ai

Summary

This skill should be used when the user asks to "summarize videos", "summarize podcasts", "research a topic using media", "bulk summarize content", "scan YouTube channels", "scan podcast feeds", "create podcast notes", "digest conference talks", "summarize Apple Podcasts", or mentions video/podcast research, media summarization, or bulk content processing.

Similar popular skills

Related neighbors and high-traction skills in the same topics — useful to compare before installing.

Also in this package

Other skills from smithery.ai · top by installs.

npx skills add https://smithery.ai

Browse all from smithery.ai

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Skill metadata

Parsed from SKILL.md frontmatter.

Version0.1.0

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 5,517 B
  • docs SUMMARY.md 380 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 1 installs

SKILL.md

Bulk Media Summarizer

A tool for scanning and summarizing media content across YouTube, podcast RSS feeds, SoundCloud, and other sources supported by yt-dlp. Ideal for podcast research, conference talk digests, tutorial compilations, and topic research.

Prerequisites

Ensure these dependencies are installed:

Supported Platforms

Platform URL Pattern Notes
YouTube youtube.com/@channel, playlist URLs Has built-in transcripts, fastest
RSS Feeds Direct feed URLs Works with any podcast RSS feed
SoundCloud soundcloud.com/user/... Audio-only, auto-transcribed
Vimeo vimeo.com/... Video
Twitch twitch.tv/videos/... VODs and clips

Apple Podcasts

Apple Podcasts URLs don't work directly with yt-dlp. Extract the RSS feed URL first:

  1. Use WebFetch on the Apple Podcasts URL
  2. Find the RSS feed URL in the page (usually in metadata)
  3. Use the RSS feed URL in the config

Example:

  • Apple URL: https://podcasts.apple.com/us/podcast/huberman-lab/id1545953110
  • RSS Feed: https://feeds.megaphone.fm/hubermanlab (use this in config)

Core Commands

bun run /path/to/bulk-summarize.ts [command]
Command Description
init [name] Create starter config file
scan Find content matching keywords
summarize Process pending items
combine Merge all summaries into one document
status Check progress for all sources
list Show configured sources
reset [source] Clear checkpoint data

Options

Option Description
-c, --config <file> Config file (default: bulk-summarize.json)
-s, --source <id> Target specific source
-n, --limit <n> Limit items to process
-p, --parallel <n> Concurrent summarizations (default: 1)
-d, --delay <ms> Delay between items (default: 1000)

Workflow

Quick Start

# 1. Create config
bun run bulk-summarize.ts init my-research.json

# 2. Edit config to add sources

# 3. Scan and process
bun run bulk-summarize.ts -c my-research.json scan
bun run bulk-summarize.ts -c my-research.json summarize
bun run bulk-summarize.ts -c my-research.json combine --output research.md

YouTube Channels

# Search for channels
yt-dlp "ytsearch10:TOPIC podcast" --flat-playlist \
  --print "%(channel_url)s %(channel)s" 2>/dev/null | sort -u

# Verify channel
yt-dlp --flat-playlist --print "%(playlist_uploader)s" \
  --playlist-end 1 "https://www.youtube.com/@ChannelName/videos"

Podcast RSS Feeds

# Test RSS feed
yt-dlp --flat-playlist --print "%(title)s" \
  "https://feeds.megaphone.fm/hubermanlab" --playlist-end 3

To get RSS feed from Apple Podcasts: use WebFetch on the Apple Podcasts URL and look for the feed URL in the response (typically in page metadata or as a direct link).

Config Structure

{
  "name": "Project Name",
  "keywords": ["keyword1", "keyword2"],
  "sources": [
    {
      "id": "source-id",
      "name": "Display Name",
      "url": "https://...",
      "type": "channel",
      "enabled": true
    }
  ],
  "settings": {
    "maxVideosPerSource": 50,
    "summaryLength": "xl",
    "summaryPrompt": "Your prompt.\n\nTitle: {title}",
    "outputDir": "summaries"
  }
}

Summary Lengths

Length Use Case
short Quick overview (<15 min content)
medium Standard summary
long Detailed notes
xl Comprehensive coverage
xxl Maximum detail (2+ hour content)

Audio vs Video Processing

YouTube (has transcripts)

  • Fast processing using existing captions
  • Highest accuracy for transcribed content

Audio Podcasts (RSS, SoundCloud)

  • Requires transcription via Whisper
  • summarize handles this automatically
  • Slightly slower due to transcription step
  • Quality depends on audio clarity

Output Structure

summaries/
  source-id/
    .checkpoint.json    # Progress tracking
    episode1.md         # Individual summaries
    episode2.md

Troubleshooting

Source Not Found

# Test URL directly
yt-dlp --flat-playlist --print "%(title)s" "URL" --playlist-end 3

Transcription Fails

  • Audio quality too low
  • Non-English content (specify language in summarize)
  • Try reducing parallel processing

Additional Resources

Reference Files

  • references/config-templates.md - Ready-to-use configs for common use cases
  • references/prompt-patterns.md - Effective prompts by content type
  • references/platform-guide.md - Platform-specific URL formats and tips

Example Files

  • examples/podcast-research.json - Multi-source podcast research
  • examples/conference-talks.json - Conference playlist digest
  • examples/multi-platform.json - Cross-platform research setup