GENE-FeludaRSSReader
GENE-FeludaRSSReader helps you turn scattered RSS feeds into a clean, searchable reading pipeline inside your Feluda workflow.
GENE-FeludaRSSReader: Structured RSS Intelligence for Feluda Flows
GENE-FeludaRSSReader helps you turn scattered RSS feeds into a clean, searchable reading pipeline inside your Feluda environment. Instead of jumping between sources, you collect feeds into named lists, fetch new articles in batches, and read results with powerful filters for unread, starred, status, and time windows.
This gene is built for teams and builders who want reliable content monitoring, faster research loops, and predictable automation behavior. It is practical for daily scanning, alert workflows, trend tracking, and topic-specific briefing creation.
Why This Gene Is Valuable
Tool Overview
This gene exposes 1 tool: FeludaRSS. The tool includes 22 subcommands that cover the full RSS lifecycle from list setup to reading and curation.
| Capability Group | What It Enables | Example Subcommands |
|---|---|---|
| List Management | Create, view, and remove RSS lists | list_create, list_lists, list_delete |
| Feed URL Control | Add or remove feed URLs per list | list_add_url, list_delete_url, list_list |
| Ingestion and Health | Fetch feed updates and inspect failures | list_fetch, list_failed, list_clean |
| Reading and Search | Read articles with filters and keyword search | list_read, list_read_item, list_newest |
| Curation and Metadata | Mark read or unread, star items, set list metadata | list_mark_read, list_star, list_set_meta |
| Discovery and Feed Insights | Discover feed URLs and inspect feed-level details | feed_discover, list_feed_info, list_latest_per_feed |
Help and Usability Notes
The tool supports a clear subcommand model with descriptive parameters. A dedicated help subcommand is not currently exposed, so practical guidance comes from the tool parameter descriptions and the subcommand naming structure.
How To Use It In Automation Flows
GENE-FeludaRSSReader fits naturally into Feluda Flows. A common pattern is simple: fetch, filter, prioritize, then route. You can schedule a fetch for one or more lists, filter for unread or starred items, extract the newest entries, and pass only high-value articles to later flow steps for summarization, classification, or action.
This gives you a repeatable content pipeline that scales from personal research to team-level monitoring. As your feed universe grows, your flow still stays predictable because list boundaries keep topics separate and searchable.
Ideal Use Cases
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