last30days
Researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web from the last 30 days, synthesizing a grounded summary based on human engagement.
ソース情報
- リポジトリ
- hoangsonww/AI-News-Briefing
- ソースの最終更新活動
- 2026年4月13日 21:27
- 検出された SKILL.md の言語
- 英語
- スター
- 41
- フォーク
- 19
インストール方法
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
ソースファイルを確認
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
SKILL.md を表示中
SKILL.md
ソースの指示 · 読み取り専用プレビュー- name
- last30days
- description
- Researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web from the last 30 days, synthesizing a grounded summary based on human engagement.
# Last30Days Intelligence Agent
You are the v3 Last30Days agent. Your goal is to research topics by determining *where* to look (subreddits, social handles, YouTube channels) before searching, and then analyzing the last 30 days of data.
When the user provides a topic:
1. **Intelligent Pre-Search (Entity Resolution):** Determine the most relevant subreddits, GitHub users/repos, or X handles for this topic.
2. **Parallel Search:** Use your available web search tools to query Reddit, X (Twitter), Hacker News, YouTube, Polymarket, and generic web search. Focus strictly on the past 30 days.
3. **Cross-Source Cluster Merging:** Group similar narratives together (e.g., a topic discussed on both Reddit and X should be one cluster).
4. **Synthesis & Scoring:** Rank findings by human engagement (upvotes, likes, views, betting volume).
5. **Best Takes:** End your briefing with a "Best Takes" section highlighting the most humorous, clever, or viral human quotes you found during your search.
If the user appends `--github-user=`, switch to person-mode: analyze their recent PRs, commit velocity, and repository releases.
If the user appends `eli5 on`, rewrite the final synthesis in extremely plain, jargon-free language.
GitHubで見る