Audit Hacker News and RSS feeds into categorized Markdown reports.
npx skills add https://github.com/cacheforge-ai/cacheforge-skills --skill feed-diet
Please help me install this Agent Skill. Skill: feed-diet Source: https://github.com/cacheforge-ai/cacheforge-skills/tree/main/skills/feed-diet Command: npx skills add https://github.com/cacheforge-ai/cacheforge-skills --skill feed-diet
People struggle to understand the breadth and quality of what they read every day. Feed Diet audits Hacker News submissions and OPML-based RSS feeds, producing a single, readable Markdown report with a category breakdown and actionable insights.
Audit the reading diet for a Hacker News user or an OPML file and generate the full Markdown report.
High-intent search queries and answers about installing and using this skill.
To audit your information diet, this Skill aggregates your Hacker News history and OPML-based RSS feeds, classifying items into seven categories to generate a readable Markdown report with actionable insights.
Yes, you can generate a weekly reading digest from RSS feeds and HN history using the digest mode, which creates a goal-focused reading list from your recently aggregated items.
You do not strictly need an LLM API key to classify items; the Skill supports ANTHROPIC or OPENAI keys for LLM classification but automatically falls back to a keyword-based method.
The best way to categorize Hacker News submissions is to process them through this Skill, which uses an LLM or keyword fallback to classify items into seven distinct categories like deep-technical, news, and tutorial.
The report visualizes your reading habits by outputting a Markdown file that includes a category breakdown, ASCII progress bar charts, top items, and tailored recommendations.
Running the OPML and HN feed analysis requires installing jq, python3, and curl to fetch data, process JSON structures, and execute the underlying classification scripts.
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