| 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.
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
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.
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.
