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.