Menu
科技新闻多源聚合摘要。从100+信息源自动采集并评分科技新闻。Keywords: 科技新闻, tech news, RSS, industry trends.
The review-first prompt is selected by default. You can switch to a direct command or download a local copy.
Read SKILL.md and any companion files shown by SkillsMP before deciding whether to install.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
A direct command skips the review prompt. Inspect the source before running it.
npx skills add https://github.com/alter123-zz/RaccoonClaw --skill tech-news-digestThe command stays on one line. Scroll horizontally to inspect it before copying.
Prefer a local copy? Download the files currently available to SkillsMP.
Showing SKILL.md
| name | tech-news-digest |
| description | 科技新闻多源聚合摘要。从100+信息源自动采集并评分科技新闻。Keywords: 科技新闻, tech news, RSS, industry trends. |
从100+信息源自动采集评分科技新闻。适用于每日科技资讯追踪、技术趋势分析、团队技术分享素材、投资研究信息搜集等场景。
触发关键词: 科技新闻, tech news, RSS, industry trends
pip install requests feedparser
从HackerNews/Reddit/RSS等100+信息源自动采集新闻
AI评分系统——按相关性和重要性自动排序
定制化推送——设置关注领域和关键词过滤
| 命令 | 说明 | 用法 |
|---|---|---|
fetch | 采集科技新闻 | python3 scripts/tech_news_digest_tool.py fetch [参数] |
digest | 生成新闻摘要 | python3 scripts/tech_news_digest_tool.py digest [参数] |
trend | 分析技术趋势 | python3 scripts/tech_news_digest_tool.py trend [参数] |
帮我生成今天的科技新闻摘要，重点关注AI
执行：
python3 scripts/tech_news_digest_tool.py digest --focus AI --period today
分析最近一周AI Agent领域的技术趋势
执行：
python3 scripts/tech_news_digest_tool.py trend --topic 'AI Agent' --period week
从HackerNews获取今日Top 20帖子
执行：
python3 scripts/tech_news_digest_tool.py fetch --source hackernews --limit 20
# 📊 科技新闻聚合报告
**生成时间**: YYYY-MM-DD HH:MM
## 核心发现
1. [关键发现1]
2. [关键发现2]
3. [关键发现3]
## 数据概览
| 指标 | 数值 | 趋势 | 评级 |
|------|------|------|------|
| 指标A | XXX | ↑ | ⭐⭐⭐⭐ |
| 指标B | YYY | → | ⭐⭐⭐ |
## 详细分析
[基于实际数据的多维度分析内容]
## 行动建议
| 优先级 | 建议 | 预期效果 |
|--------|------|----------|
| 🔴 高 | [具体建议] | [量化预期] |
| 🟡 中 | [具体建议] | [量化预期] |
| 🟢 低 | [具体建议] | [量化预期] |
pip install requests feedparser
Based on SOC occupation classification