content-curation-and-feeds

name	content-curation-and-feeds
description	Track, monitor, and reformat content from public feeds and video platforms. Integrates RSS/Atom blog tracking (blogwatcher-cli) and YouTube transcript extraction/summarization.
version	1.0.0
platforms	["linux","macos","windows"]
metadata	{"hermes":{"tags":["content","curation","RSS","feed-reader","blogs","youtube","transcript","summary","monitoring"],"related_skills":["google-workspace","obsidian"]}}

Content Curation & Feed Monitoring

This skill covers tracking, monitoring, and reformatting incoming public content feeds (blogs, RSS/Atom feeds) and public video transcripts (YouTube) to build summaries, knowledge base notes, or social media threads.

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1. Blog & RSS Monitoring (blogwatcher)

Track blog and RSS/Atom feed updates using the blogwatcher-cli tool. Supports feed auto-discovery, HTML scraping fallback, OPML imports, and read/unread article management.

Prerequisites

blogwatcher-cli installed. Database path defaults to ~/.blogwatcher-cli/blogwatcher-cli.db (persistent Docker volume: -v blogwatcher-cli:/data -e BLOGWATCHER_DB=/data/blogwatcher-cli.db).

Common Commands

• Add Blog: blogwatcher-cli add "My Blog" https://example.com
• List Tracked Blogs: blogwatcher-cli blogs
• Scan Feeds: blogwatcher-cli scan
• List Unread Articles: blogwatcher-cli articles
• Mark Article Read: blogwatcher-cli read <ID>
• Mark All Read: blogwatcher-cli read-all

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2. YouTube Content Parsing (youtube-content)

Extract transcripts from YouTube videos (standard URLs, shorts, embeds, or raw 11-char IDs) and reformat them into structured summaries, chapters, blog posts, or social media threads.

Prerequisites

pip install youtube-transcript-api

CLI Transcript Extraction

• JSON with metadata: python3 ~/.hermes/skills/media/content-curation-and-feeds/scripts/fetch_transcript.py "URL"
• Plain text only: python3 ~/.hermes/skills/media/content-curation-and-feeds/scripts/fetch_transcript.py "URL" --text-only
• With timestamps: python3 ~/.hermes/skills/media/content-curation-and-feeds/scripts/fetch_transcript.py "URL" --timestamps

Synthesis & Output Formats

After fetching a transcript, transform it into one of these desired shapes:

• Chapters: Chronological list of topics with timestamps.
• Summary: Concise 5-10 sentence overview of the video.
• Twitter Thread: Numbered posts (each under 280 characters).
• Blog Post: Clean markdown article with headers, sections, and takeaways.

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Guidelines & Error Handling

• Large Transcripts: If a video transcript exceeds 50K characters, split it into overlapping chunks (~40K chars, 2K overlap), summarize each chunk, and synthesize the summaries.
• Scanned/No Transcript: If transcripts are disabled or unavailable, notify the user.
• Database Backups: Keep the blogwatcher SQLite database backed up regularly if monitoring high-value feeds.