AI News Toutiao for Openclaw

An advanced AI news aggregator that identifies and ranks high-impact artificial intelligence developments while filtering out SEO noise.

npm-ued
v1.0.2
Mar 11, 2026
0
1.2k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install toutiao

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install toutiao using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is AI News Toutiao?

AI News Toutiao is a specialized Openclaw Skills agent designed to deliver authentic, high-signal intelligence from the rapidly evolving AI landscape. Unlike standard search tools that are often dominated by SEO-optimized marketing pages, this skill focuses on capturing fermenting trends across product launches, research papers, industry shifts, and community-driven viral phenomena. It synthesizes information into concise Chinese summaries, providing developers and business leaders with a clear view of what actually matters in the AI world.

The skill operates on a multi-dimensional search matrix, ensuring that it doesn't just scratch the surface. By cross-referencing news across newsletters, community discussions on platforms like GitHub and Hacker News, and official corporate announcements, it provides a balanced perspective that minimizes bias and maximizes technical accuracy.

AI News Toutiao Use Cases

  • Catching up on the last 24 hours of global and local AI breakthroughs.
  • Summarizing weekly AI trends for internal team briefings or newsletters.
  • Monitoring high-heat community discussions to identify the next viral AI tool or library.
  • Tracking research papers and funding rounds to understand market direction.
  • Investigating controversial or emerging topics in AI safety, ethics, and regulation.

How AI News Toutiao Works

  1. Multi-Dimensional Layered Search: The agent executes searches across six distinct dimensions (A-F matrix) covering weekly reports, community heat, and official releases.
  2. Cross-Validation: It identifies events mentioned across 3+ sources and performs targeted deep-dives to verify details and minimize noise.
  3. De-duplication and Merging: Multiple reports of the same event are merged into a single canonical entry, prioritizing authoritative primary sources.
  4. Heat Assessment: Every item is ranked on a 1-5 star scale based on signals like social media virality, official backing, and technical breakthrough potential.
  5. Summary Generation: The agent produces a structured report with concise summaries, importance interpretations, and verified source links.

AI News Toutiao Setup

To integrate this skill into your environment, ensure you have the Openclaw Skills framework initialized and call the news agent using the following configuration:

# Example of triggering the AI News Toutiao skill via CLI
openclaw run ai-news-toutiao --mode standard --duration 24h

Ensure that the reference files sources.md, source-catalog.md, and search-matrix.md are present in your local references/ directory to guide the agent's search logic.

AI News Toutiao Data Schema & Taxonomy

The skill organizes findings into a structured hierarchy based on heat levels. Data is typically presented in the following format:

Feature Description
Heat Rating 1 to 5 stars based on cross-source verification and impact.
Summary A concise Chinese description (under 50 characters) per item.
Links Primary authoritative HTTPS links and 1-3 supporting evidence links.
Metrics Statistics on total items collected, search count, and dimension coverage.
Observation List Unverified or ongoing events for future tracking.

AI News Toutiao Advanced Features

  • Depth Control: Choose between quick (8-12 items), standard (15-25 items), or deep (25+ items) reporting modes.
  • Signal-to-Noise Filtering: Hard threshold requiring at least 8-12 searches across 6 dimensions before outputting results to ensure high density.
  • Absolute Datetime Normalization: Automatically converts relative time references (e.g., "yesterday") into absolute dates to prevent ambiguity.
  • Multi-Regional Coverage: Simultaneous tracking of both Global and Chinese AI ecosystems to provide a comprehensive outlook.

SKILL.md


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