القائمة
Aggregate and deduplicate recent news from multiple sources into concise topic summaries.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Upload and host files anonymously using decentralized storage with Originless and IPFS.
Automate web browsers for AI agents using agent-browser CLI with deterministic element selection.
Log all file changes (write, edit, delete) to a SQLite database for debugging and audit. Use when: (1) Tracking code changes, (2) Debugging issues, (3) Auditing file modifications, or (4) The user asks to track file changes.
Fetch current and historical crypto prices and compute ATH or ATL over common time windows.
Host static websites and assets via zip upload to Originless IPFS. Use when: (1) Deploying static sites, (2) Hosting HTML/CSS/JS projects, (3) Sharing web assets publicly, or (4) User asks to host static files.
Search for torrents by title or IMDB ID via a Torznab-compatible API. Use when: (1) User asks to find a torrent for a movie or show, (2) You need a magnet link for a given title, or (3) User provides an IMDB ID and wants download options.
| name | news-aggregation |
| description | Aggregate and deduplicate recent news from multiple sources into concise topic summaries. |
Collect latest news from multiple sites and aggregators, merge similar stories into short topics, and list all main source links under each topic.
Install:
pip install feedparser python-dateutil
Use a mixed source list for better coverage.
https://feeds.reuters.com/Reuters/worldNewshttps://feeds.apnews.com/apnews/topnewshttp://feeds.bbci.co.uk/news/world/rss.xmlhttps://www.aljazeera.com/xml/rss/all.xmlhttps://www.theguardian.com/world/rsshttps://feeds.npr.org/1001/rss.xmlhttps://news.google.com/rss/search?q=worldhttps://www.bing.com/news/search?q=world&format=RSShttps://hnrss.org/frontpagehttps://www.reddit.com/r/news/.rss// npm install rss-parser
const Parser = require('rss-parser');
const parser = new Parser();
const SOURCES = {
Reuters: 'https://feeds.reuters.com/Reuters/worldNews',
AP: 'https://feeds.apnews.com/apnews/topnews',
BBC: 'http://feeds.bbci.co.uk/news/world/rss.xml',
'Google News': 'https://news.google.com/rss/search?q=world'
};
async function fetchRecent(days = 3) {
const cutoff = Date.now() - days * 24 * 60 * 60 * 1000;
const all = [];
for (const [source, url] of Object.entries(SOURCES)) {
const feed = await parser.parseURL(url);
for (const item of feed.items || []) {
const ts = new Date(item.pubDate || item.isoDate || 0).getTime();
if (!ts || ts < cutoff) continue;
all.push({ source, title: item.title || '', link: item.link || '', ts });
}
}
return all.sort((a, b) => b.ts - a.ts);
}
// Next step: add title-similarity clustering (same idea as Python section above)
Use the News Aggregation skill.
Requirements:
1) Pull news from multiple predefined sources (news sites + aggregators).
2) Default to only the last 3 days unless user asks another time range.
3) Group similar headlines into one short topic.
4) Under each topic, list all main source links (not just one source).
5) If 3+ sources cover the same event, output one topic with all those links.
6) Keep summaries short and factual; avoid adding unsupported claims.