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.

• 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
• Scheduled & Unattended — Idempotent daily runs, no interactive prompts, partial success support

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

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

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.

# 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 install morning-ai

OpenCode auto-discovers skills from .agents/skills/ and .claude/skills/ directories — the same paths MorningAI already supports. Install as a skill:

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

Or use any of the compatible paths:

# Any of these work — OpenCode scans all three
git clone https://github.com/octo-patch/MorningAI.git ~/.config/opencode/skills/morning-ai
git clone https://github.com/octo-patch/MorningAI.git ~/.agents/skills/morning-ai
git clone https://github.com/octo-patch/MorningAI.git ~/.claude/skills/morning-ai

Then invoke in OpenCode: type morning-ai or let the agent load the skill on demand.

Tip: OpenCode also reads AGENTS.md at the repo root. If you clone the repo into any project directory, OpenCode will auto-discover it.

Install directly from GitHub:

hermes skills install octo-patch/MorningAI

Or clone manually:

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

Then invoke in Hermes: type morning-ai or use /skills to browse installed skills.

Tip: Hermes also supports AGENTS.md auto-discovery. Clone the repo into your project and Hermes will find it.

If cloned or forked, Codex auto-discovers the plugin via .codex-plugin/plugin.json and AGENTS.md — no manual setup needed.

Or install as a skill:

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

AGENTS.md at the repo root is an open standard recognized by Codex, Cursor, OpenCode, Hermes and more. Clone the repo and the tool will auto-discover it.

git clone https://github.com/octo-patch/MorningAI.git
cd MorningAI

Create a config file at ~/.config/morning-ai/.env:

GITHUB_TOKEN=gh_xxx               # GitHub (optional, higher rate limits)
MESSAGE_ENABLED=true               # Message digest (optional, for messaging platforms)

Without any API keys, all sources work out of the box: Reddit, Hacker News, GitHub, HuggingFace, arXiv, and X/Twitter.

Track your own entities beyond the built-in 80+ by creating a markdown file:

cp entities/custom-example.md entities/custom/my-watchlist.md

Edit the file with your entities:

## My Startup

| Platform | Value |
|----------|-------|
| X | @my_startup, @founder |
| GitHub | my-startup-org |
| HuggingFace | my-startup |
| Reddit | MyStartup |

Each entity starts with a ## Name heading followed by a | Platform | Value | table. Not all platforms are required — add only what you need. Supported platforms: X, GitHub, HuggingFace, arXiv, Web, Reddit, HN.

Custom entity files are loaded from (in priority order):

1. CUSTOM_ENTITIES_DIR env var
2. ~/.config/morning-ai/entities/
3. entities/custom/ in the project directory

Files in entities/custom/ are gitignored, so your watchlists stay local.

Invoke the skill in your AI tool:

/morning-ai

Or run the collector standalone:

python3 skills/tracking-list/scripts/collect.py --date 2026-04-14 --output report.json

Set IMAGE_STYLE in your .env to choose a visual style for generated infographics:

IMAGE_STYLE=dark
IMAGE_GEN_PROVIDER=gemini

All items are classified into 4 types: Product, Model, Benchmark, Funding.

bash scripts/sync.sh

Distributes the skill to ~/.claude/skills/, ~/.agents/skills/, ~/.codex/skills/, and ~/.config/opencode/skills/.

MIT