Fetch RSS/Atom feeds, generate Chinese summaries via LLM, and push to Feishu, Telegram, or Email.
npx skills add https://github.com/nakamotosai/chii --skill rss-ai-reader
Please help me install this Agent Skill. Skill: rss-ai-reader Source: https://github.com/nakamotosai/chii/tree/main/skills/rss-ai-reader Command: npx skills add https://github.com/nakamotosai/chii --skill rss-ai-reader
Automatically monitors RSS/Atom feeds, generates concise Chinese summaries via LLM, and delivers them through Feishu, Telegram, or Email, reducing manual curation work and keeping teams informed.
Configure feeds, LLM credentials, and push channels in a YAML config and run the main program to start automated RSS monitoring and delivery.
High-intent search queries and answers about installing and using this skill.
To generate Chinese summaries for RSS feeds, you can configure your feed sources, LLM credentials, and push channel webhooks in a local YAML config, then run the main program to start automated fetching and delivery.
Yes, you can use Claude or OpenAI as the LLM provider for RSS feed summarization. You need to configure the respective LLM provider credentials in your YAML configuration file.
To avoid duplicate notifications when monitoring RSS feeds, the system uses SQLite for deduplication. This ensures that previously fetched and summarized content is not pushed to your channels again.
The best way to schedule automated RSS fetching and LLM summarization is by utilizing the built-in scheduling support. You configure the polling frequency in your YAML config to regularly surface new content.
Yes, you need a local YAML config file to set up multi-channel RSS notifications. This config defines your RSS/Atom feeds, LLM credentials, and the webhooks for Feishu, Telegram, or Email delivery.
Yes, the RSS summarizer supports Atom feeds alongside standard RSS for tech blog monitoring. It automatically fetches both formats to surface new content for LLM summarization.
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