morning-ai

MorningAI

What happened in AI today? — An AI news tracking skill that runs inside your coding agent. No Docker, no servers — just invoke /morning-ai in Claude Code, Codex, OpenCode, Hermes, Cursor, or any SKILL.md-compatible tool. Monitors 80+ entities across 6 sources, generates scored daily reports with optional infographics.

Features

• Skill-Native — Runs inside your AI coding tool (Claude Code, Codex, OpenCode, Hermes, Cursor). No Docker, no servers, no extra infra — just /morning-ai
• Entity-Centric Tracking — 80+ curated entities across AI labs, model infra, coding agents, apps, vision/media, benchmarks, KOLs. Per-entity cross-platform handles (X, GitHub, HF, arXiv), not keyword search
• 6 Sources — Reddit, HN, GitHub, HuggingFace, arXiv, X/Twitter. All sources free — no API keys required
• Smart Scoring — Two-stage scoring: automated initial scoring from metadata (relevance, engagement, source reliability, recency), then agent evaluation across 5 qualitative dimensions (Impact, Differentiation, Breakthrough, Coverage, Timeliness). Score 7+ items auto-verified across multiple independent sources
• Custom Watchlists — Add your own entities via simple markdown files — no code changes needed
• 5 Infographic Styles — classic, dark, glassmorphism, newspaper, tech — ready for social sharing
• Message Digest — Concise, copy-paste-friendly digest with one-line summaries + links, optimized for WeChat, Telegram, Slack and other messaging platforms
• Email Subscription — Push the daily digest to a recipient list via SMTP (Gmail/QQ/Outlook/etc.). Multipart HTML + plain-text, optional infographic attachment, per-recipient language overrides, dry-run preview mode, RFC 8058 one-click unsubscribe headers
• Scheduled & Unattended — Idempotent daily runs, no interactive prompts, partial success support

Sample Output

Here's what a MorningAI daily report looks like — 26 updates scored, deduplicated, and verified across multiple sources in under 50 seconds:

Full sample report: samples/report_2026-04-14.md Infographic style previews: docs/styles.md

How It Works

SKILL.md (loaded by any AI tool)
    |
    +- Step 1: python3 skills/tracking-list/scripts/collect.py  ->  data_{date}.json
    |           (5 sources, concurrent, score + dedupe)
    |           + Agent searches X/Twitter via web search
    |
    +- Step 2: Read skills/tracking-list/SKILL.md  ->  scoring & format spec
    |
    +- Step 3: Write report_{date}.md  ->  structured daily report
    |
    +- Step 4: (optional) Read skills/gen-infographic/SKILL.md  ->  cover image
    |
    +- Step 6: (optional) Read skills/gen-message/SKILL.md  ->  message digest + image
    |
    +- Step 7: (optional) python3 skills/gen-email/scripts/send_email.py  ->  SMTP delivery to subscribers

The Python collector runs 5 sources concurrently (Reddit, HN, GitHub, HuggingFace, arXiv), then scores, deduplicates, and cross-links results. The AI tool also searches X/Twitter via web search for tracked entities, then reads the JSON output and generates a formatted Markdown report.

Install

Claude Code

# Step 1: Add marketplace source
marketplace add octo-patch/MorningAI

# Step 2: Install the plugin
/plugin install morning-ai

# Step 3: Restart Claude Code, then use
/morning-ai

Or manual install:

git clone https://github.com/octo-patch/MorningAI.git ~/.claude/skills/morning-ai

ClawHub