# Send Daily Ai News to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
## Suggested prompts
### New install

```text
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
```
### Upgrade existing

```text
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
```
## Machine-readable fields
```json
{
  "schemaVersion": "1.0",
  "item": {
    "slug": "daily-ai-news-skill",
    "name": "Daily Ai News",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
    "sourceUrl": "https://clawhub.ai/Laurent-Zhu/daily-ai-news-skill",
    "canonicalUrl": "https://clawhub.ai/Laurent-Zhu/daily-ai-news-skill",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/daily-ai-news-skill",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=daily-ai-news-skill",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "SKILL.md",
      "references/news_sources.md",
      "references/output_templates.md",
      "references/search_queries.md"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-30T16:55:25.780Z",
      "expiresAt": "2026-05-07T16:55:25.780Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
        "contentDisposition": "attachment; filename=\"network-1.0.0.zip\"",
        "redirectLocation": null,
        "bodySnippet": null
      },
      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/daily-ai-news-skill"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/daily-ai-news-skill",
    "downloadUrl": "https://openagent3.xyz/downloads/daily-ai-news-skill",
    "agentUrl": "https://openagent3.xyz/skills/daily-ai-news-skill/agent",
    "manifestUrl": "https://openagent3.xyz/skills/daily-ai-news-skill/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/daily-ai-news-skill/agent.md"
  }
}
```
## Documentation

### Daily AI News Briefing

Aggregates the latest AI news from multiple sources and delivers concise summaries with direct links

### When to Use This Skill

Activate this skill when the user:

Asks for today's AI news or latest AI developments
Requests a daily AI briefing or updates
Mentions wanting to know what's happening in AI
Asks for AI industry news, trends, or breakthroughs
Wants a summary of recent AI announcements
Says: "给我今天的AI资讯" (Give me today's AI news)
Says: "AI有什么新动态" (What's new in AI)

### Workflow Overview

This skill uses a 4-phase workflow to gather, filter, categorize, and present AI news:

Phase 1: Information Gathering
  ├─ Direct website fetching (3-5 major AI news sites)
  └─ Web search with date filters
      ↓
Phase 2: Content Filtering
  ├─ Keep: Last 24-48 hours, major announcements
  └─ Remove: Duplicates, minor updates, old content
      ↓
Phase 3: Categorization
  └─ Organize into 5 categories
      ↓
Phase 4: Output Formatting
  └─ Present with links and structure

### Step 1.1: Fetch from Primary AI News Sources

Use mcp__web_reader__webReader to fetch content from 3-5 major AI news websites:

Recommended Primary Sources (choose 3-5 per session):

VentureBeat AI: https://venturebeat.com/category/ai/
TechCrunch AI: https://techcrunch.com/category/artificial-intelligence/
The Verge AI: https://www.theverge.com/ai-artificial-intelligence
MIT Technology Review AI: https://www.technologyreview.com/topic/artificial-intelligence/
AI News: https://artificialintelligence-news.com/
AI Hub Today: https://ai.hubtoday.app/

Parameters:

return_format: markdown
with_images_summary: false (focus on text content)
timeout: 20 seconds per source

### Step 1.2: Execute Web Search Queries

Use WebSearch with date-filtered queries to discover additional news:

Query Template (adjust dates dynamically):

General: "AI news today" OR "artificial intelligence breakthrough" after:[2025-12-23]
Research: "AI research paper" OR "machine learning breakthrough" after:[2025-12-23]
Industry: "AI startup funding" OR "AI company news" after:[2025-12-23]
Products: "AI application launch" OR "new AI tool" after:[2025-12-23]

Best Practices:

Always use current date or yesterday's date in filters
Execute 2-3 queries across different categories
Limit to top 10-15 results per query
Prioritize sources from last 24-48 hours

### Step 1.3: Fetch Full Articles

For the top 10-15 most relevant stories from search results:

Extract URLs from search results
Use mcp__web_reader__webReader to fetch full article content
This ensures accurate summarization vs. just using snippets

### Filter Criteria

Keep:

News from last 24-48 hours (preferably today)
Major announcements (product launches, model releases, research breakthroughs)
Industry developments (funding, partnerships, regulations, acquisitions)
Technical advances (new models, techniques, benchmarks)
Significant company updates (OpenAI, Google, Anthropic, etc.)

Remove:

Duplicate stories (same news across multiple sources)
Minor updates or marketing fluff
Content older than 3 days unless highly significant
Non-AI content or tangentially related articles

### Deduplication Strategy

When the same story appears in multiple sources:

Keep the most comprehensive version
Note alternative sources in the summary
Prioritize authoritative sources (company blogs > news aggregators)

### Phase 3: Categorization

Organize news into 5 categories:

### 🔥 Major Announcements

Product launches (new AI tools, services, features)
Model releases (GPT updates, Claude features, Gemini capabilities)
Major company announcements (OpenAI, Google, Anthropic, Microsoft, Meta)

### 🔬 Research & Papers

Academic breakthroughs
New research papers from top conferences
Novel techniques or methodologies
Benchmark achievements

### 💰 Industry & Business

Funding rounds and investments
Mergers and acquisitions
Partnerships and collaborations
Market trends and analysis

### 🛠️ Tools & Applications

New AI tools and frameworks
Practical AI applications
Open source releases
Developer resources

### 🌍 Policy & Ethics

AI regulations and policies
Safety and ethics discussions
Social impact studies
Government initiatives

### Phase 4: Output Formatting

Use the following template for consistent output:

# 📰 Daily AI News Briefing

**Date**: [Current Date, e.g., December 24, 2025]
**Sources**: [X] articles from [Y] sources
**Coverage**: Last 24 hours

---

## 🔥 Major Announcements

### [Headline 1]

**Summary**: [One-sentence overview of the news]

**Key Points**:
- [Important detail 1]
- [Important detail 2]
- [Important detail 3]

**Impact**: [Why this matters - 1 sentence]

📅 **Source**: [Publication Name] • [Publication Date]
🔗 **Link**: [URL to original article]

---

### [Headline 2]

[Same format as above]

---

## 🔬 Research & Papers

### [Headline 3]

[Same format as above]

---

## 💰 Industry & Business

### [Headline 4]

[Same format as above]

---

## 🛠️ Tools & Applications

### [Headline 5]

[Same format as above]

---

## 🌍 Policy & Ethics

### [Headline 6]

[Same format as above]

---

## 🎯 Key Takeaways

1. [The biggest news of the day - 1 sentence]
2. [Second most important development - 1 sentence]
3. [An emerging trend worth watching - 1 sentence]

---

**Generated on**: [Timestamp]
**Next update**: Check back tomorrow for the latest AI news

### Customization Options

After providing the initial briefing, offer customization:

### 1. Focus Areas

"Would you like me to focus on specific topics?"

Research papers only
Product launches and tools
Industry news and funding
Specific companies (OpenAI/Google/Anthropic)
Technical tutorials and guides

### 2. Depth Level

"How detailed should I go?"

Brief: Headlines only (2-3 bullet points per story)
Standard: Summaries + key points (default)
Deep: Include analysis and implications

### 3. Time Range

"What timeframe?"

Last 24 hours (default)
Last 3 days
Last week
Custom range

### 4. Format Preference

"How would you like this organized?"

By category (default)
Chronological
By company
By significance

### User: "Tell me more about [story X]"

Action: Use mcp__web_reader__webReader to fetch the full article, provide detailed summary + analysis

### User: "What are experts saying about [topic Y]?"

Action: Search for expert opinions, Twitter reactions, analysis pieces

### User: "Find similar stories to [story Z]"

Action: Search related topics, provide comparative summary

### User: "Only show research papers"

Action: Filter and reorganize output, exclude industry news

### Validation Checklist

All links are valid and accessible
No duplicate stories across categories
All items have timestamps (preferably today)
Summaries are accurate (not hallucinated)
Links lead to original sources, not aggregators
Mix of sources (not all from one publication)
Balance between hype and substance

### Error Handling

If webReader fails for a URL → Skip and try next source
If search returns no results → Expand date range or try different query
If too many results → Increase threshold for significance
If content is paywalled → Use available excerpt and note limitation

### Example 1: Basic Request

User: "给我今天的AI资讯"

AI Response:
[Executes 4-phase workflow and presents formatted briefing with 5-10 stories across categories]

### Example 2: Time-specific Request

User: "What's new in AI this week?"

AI Response:
[Adjusts date filters to last 7 days, presents weekly summary]

### Example 3: Category-specific Request

User: "Any updates on AI research?"

AI Response:
[Focuses on Research & Papers category, includes recent papers and breakthroughs]

### Example 4: Follow-up Deep Dive

User: "Tell me more about the GPT-5 announcement"

AI Response:
[Fetches full article, provides detailed summary, offers to find expert reactions]

### Additional Resources

For comprehensive lists of news sources, search queries, and output templates, refer to:

references/news_sources.md - Complete database of AI news sources
references/search_queries.md - Search query templates by category
references/output_templates.md - Alternative output format templates
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: Laurent-Zhu
- Version: 0.1.0
## Source health
- Status: healthy
- Source download looks usable.
- Yavira can redirect you to the upstream package for this source.
- Health scope: source
- Reason: direct_download_ok
- Checked at: 2026-04-30T16:55:25.780Z
- Expires at: 2026-05-07T16:55:25.780Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/daily-ai-news-skill)
- [Send to Agent page](https://openagent3.xyz/skills/daily-ai-news-skill/agent)
- [JSON manifest](https://openagent3.xyz/skills/daily-ai-news-skill/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/daily-ai-news-skill/agent.md)
- [Download page](https://openagent3.xyz/downloads/daily-ai-news-skill)