morning-ai

Collect AI news from six sources and generate a structured Markdown daily report.

Updated Jun 3, 2026
One-click install
npx skills add https://github.com/vZulin/overlay-clock-timer --skill morning-ai-vzulin
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: morning-ai
Source: https://github.com/vZulin/overlay-clock-timer/tree/main/.codex/skills/macos-design/morning-ai
Command: npx skills add https://github.com/vZulin/overlay-clock-timer --skill morning-ai-vzulin

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Keeps you informed about AI developments across multiple sources without manual tracking, delivering a concise daily briefing.

Core Features & Use Cases

  • Collects updates from Reddit, Hacker News, GitHub, HuggingFace, arXiv, and X/Twitter
  • Scores items using automated metadata and qualitative evaluation
  • Deduplicates and cross-checks high-scoring items
  • Generates a structured Markdown daily report with source links

Quick Start

Run /morning-ai to fetch today's AI news briefing.

Frequently Asked Questions about morning-ai

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I summarize AI news from multiple sources like Reddit and arXiv into a single report?

You can summarize AI news from Reddit, Hacker News, GitHub, HuggingFace, arXiv, and X/Twitter into a structured Markdown daily report by running the /morning-ai command to automatically collect, score, and deduplicate updates.

What is the best way to automate daily AI news briefings without API keys?

Automating daily AI news briefings without API keys is possible by using six free data sources to fetch updates on model releases, funding rounds, benchmarks, and policy updates, producing a concise daily briefing.

Do I need Python to generate a daily AI news briefing from Hacker News and GitHub?

Yes, you need Python 3.9 or higher installed to run the daily AI news briefing generation, which scans Hacker News, GitHub, and other sources to deduplicate high-scoring items into a Markdown report.

How does deduplication work when collecting AI news from Twitter and HuggingFace?

Deduplication works by scoring collected items using automated metadata and qualitative evaluation, then cross-checking high-scoring items from X/Twitter and HuggingFace to ensure the final Markdown report contains no redundant entries.

Can I track AI model releases and funding rounds from X/Twitter and Reddit in Markdown format?

Yes, you can track AI model releases, funding rounds, benchmarks, and policy updates from X/Twitter and Reddit, applying the results to daily AI news briefings that generate a structured Markdown report with source links.

Are there limitations to using free data sources for automated AI news summarization?

Using free data sources for automated AI news summarization means relying strictly on six specific platforms without API keys, which limits coverage to Reddit, Hacker News, GitHub, HuggingFace, arXiv, and X/Twitter.