ai-news-collector

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This skill provides workflows and tools to collect, filter, and summarize the latest developments in the AI industry across major platforms.

此技能提供工作流和工具，用于在各大平台收集、筛选并总结AI行业的最新动态。

GitHub Trending: Extract trending AI/ML repositories, new tools, and open-source models.
X (Twitter) Updates: Gather updates from key AI researchers, organizations, and trending AI hashtags.
News Aggregation: Summarize top AI headlines from tech news sources.
Digest Generation: Compile the collected information into a structured, easy-to-read markdown digest.

When a user requests a daily AI news summary, follow this process:

Information Gathering:
- MUST RESTRICT SEARCH TO THE LAST 7 DAYS. Use explicit date filters (e.g., in
```
curl
```
  or
```
web_search
```
  ) to ensure no news or repositories older than one week are included.
- Use the web search tool to find the current GitHub trending repositories (filter by spoken language or programming language like Python/Jupyter Notebook).
- Search for recent AI news using queries like "AI news today", "latest artificial intelligence developments", or specific topics (e.g., "OpenAI news", "new LLM releases").
- If applicable and accessible, search for trending AI discussions on X (Twitter).
Filtering & Curation:
- Filter out noise and generic news.
- Focus on: New model releases, significant open-source projects, major industry announcements, breakthrough research, and trending developer tools.
- STRICTLY exclude any items older than 7 days.
Formatting the Digest:
- Use the template provided in
```
references/digest-template.md
```
  to structure the output.
- Group items logically (e.g., Open Source & GitHub, Industry News, Research & Papers).
- Provide brief, 1-2 sentence summaries for each item.
- MANDATORY: Every single news item, repository, paper, or tweet MUST include its original source URL as a markdown link
```
[Link](url)
```
  .

当用户请求每日AI新闻摘要时，请遵循以下流程：

信息收集:
- 必须将搜索范围限制在最近7天内。使用明确的日期过滤器（例如在
```
curl
```
  或
```
web_search
```
  中）确保不包含任何超过一周的新闻或仓库。
- 使用网页搜索工具查找当前GitHub热门仓库（按使用语言或编程语言如Python/Jupyter Notebook筛选）。
- 使用“今日AI新闻”、“人工智能最新动态”或特定主题（例如“OpenAI新闻”、“新LLM发布”）等关键词搜索近期AI新闻。
- 若可行且可访问，搜索X（Twitter）上的热门AI讨论内容。
筛选与整理:
- 过滤无效信息和通用新闻。
- 重点关注：新模型发布、重要开源项目、重大行业公告、突破性研究以及热门开发者工具。
- 严格排除任何超过7天的内容。
简报格式化:
- 使用
```
references/digest-template.md
```
  中提供的模板构建输出内容。
- 按逻辑分组内容（例如：开源与GitHub、行业新闻、研究与论文）。
- 为每个内容提供1-2句话的简短摘要。
- 强制要求：每一条新闻、仓库、论文或推文必须包含原始来源的URL，以Markdown链接格式
```
[链接](url)
```
  呈现。

If the user asks for news about a specific sub-field (e.g., "What's new in AI image generation?"):

Adjust search queries to focus strictly on that niche.
Structure the response to highlight the most impactful recent developments in that specific area.
Ensure all links and 7-day time limits are strictly applied.

如果用户询问特定细分领域的新闻（例如：“AI图像生成领域有什么新动态？”）：

Freshness (Critical): Always verify that the news or repositories are actually recent (Strictly within the last 7 days). Discard anything older.
Conciseness: Avoid long articles; extract the core value proposition of a new tool or the main takeaway of a news item.
Categorization: Well-organized digests are much easier to read than flat lists.
Citations (Critical): Always include URLs to the original source (GitHub repo, news article, or tweet). A report item without a source link is considered invalid.

Template: See
```
references/digest-template.md
```
for the standard output format.