Rss Api Watcher
by Edric Vale
Watch RSS feeds, JSON APIs, and GitHub endpoints with watermark deduplication: a state file records last-seen item IDs per source, so each poll emits only newco
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Works with the AI tools you already use
See it in action
You say
Initialize the watcher for my sources in watcher.yaml with a backfill of 20 items, then run a poll and send any new items to my webhook at http://api.internal/hooks/updates.
Your agent does
$ watcher init --state ./state.json --backfill 20 State initialized. 20 items marked as seen.
$ watcher poll --notify webhook=http://api.internal/hooks/updates Fetching 2 sources... releases: 0 new items news: 2 new items Webhook sent for 2 items. State updated.
What you get
About this skill
The problem
Polling RSS feeds or JSON APIs often results in duplicate notifications or redundant data processing when a service restarts or feeds reorder items. Developers struggle to maintain state between polling intervals without building custom database logic.
What it does
- Tracks last-seen item identifiers using a local state file to prevent duplicate processing.
- Supports RSS feeds, GitHub release APIs, and generic JSON endpoints.
- Performs atomic watermark updates to ensure data integrity even if a process crashes.
- Generates structured Markdown reports summarizing changes over a specific timeframe.
- Triggers webhooks or email notifications only for genuinely new entries.
Frameworks & tools
Python, YAML configuration, JSON pointers, and standard webhooks.
Why this beats prompting it yourself
Writing a reliable deduplication engine requires handling atomic file writes, ID extraction logic, and state management. This skill provides a tested, CLI-driven workflow that handles the edge cases of backfilling and state resets out of the box.
Use cases
- Monitor GitHub releases for multiple dependencies to trigger CI/CD pipelines.
- Aggregate technical blog feeds into a daily Markdown summary for team review.
- Send Slack alerts via webhooks for specific API changes without spamming the channel.
- Audit historical changes across various sources using the structured reporting tool.
Known limitations
Not suitable for real-time push requirements or sources lacking stable item IDs. Polling frequency should remain above 60 seconds to avoid rate limiting.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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