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daily-ai-news-digest

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Fetches articles from 92 Karpathy-curated RSS feeds, scores them with an LLM, selects the top 3, and delivers a formatted digest to Telegram every morning.

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Source SKILL.md: https://github.com/Sumanth077/Hands-On-AI-Engineering/blob/HEAD/ai_agents/daily-news-digest/SKILL.md

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Copying this prompt does not install or run the skill. Review third-party files before use. Codex skill guide

Daily AI News Digest

A morning briefing skill that monitors 92 RSS feeds curated by Andrej Karpathy, surfaces the most important AI and tech stories from the last 24 hours, and delivers a clean digest to Telegram.

What It Does

Each morning the skill wakes up, pulls fresh articles from a hand-picked list of RSS feeds, uses an LLM to score and rank them by relevance and significance, then writes a concise summary of the top 3 stories and pushes it to a Telegram chat.

Pipeline

92 RSS feeds
    │
    ▼
fetch_rss.py — parallel feed fetching
    │
    ▼
filter — keep only articles published in the last 24 hours
    │
    ▼
LLM scoring — rate each article for relevance, novelty, and impact
    │
    ▼
select top 3 — ranked by score, deduplicated by URL
    │
    ▼
summarise — one-paragraph summary per article via LLM
    │
    ▼
categorise — group into themes (Breaking, Important, Notable)
    │
    ▼
Telegram — formatted message delivered to configured chat

Required Environment Variables

VariableDescription
TELEGRAM_BOT_TOKENToken for the Telegram bot that sends the digest
TELEGRAM_CHAT_IDID of the Telegram chat or channel to deliver to

Copy .env.example to .env and fill in these values before running.

Schedule

The skill runs on the cron expression 0 8 * * * — every day at 08:00 UTC.

To change the time, update the trigger field in the frontmatter above. For example:

  • "0 7 * * 1-5" — weekdays at 07:00 UTC
  • "0 6 * * *" — daily at 06:00 UTC

Running Manually

# Install dependencies
pip install -r requirements.txt

# Run the full pipeline
python skill.py

# Run only the RSS fetch step
python scripts/fetch_rss.py