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curate-external-feed-topics

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更新时间2026年4月4日 07:03

Curates foreign tech blogs (e.g. Daily Dose of Data Science Substack) via RSS, classifies items into learn-likecc RAG vs Agent “技术热点” sub-topics, drafts Chinese summaries with attribution, and appends rows to the site HTML tables. Use when the user asks to ingest Daily Dose of DS, Substack feeds, auto-fetch hot topics, translate articles for topic-rag-hot or topic-agent-hot, or refresh external curated content for the course site.

安装

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在 Manus 中运行

来源

Harzva

Harzva/learn-likecc

打开 GitHub 仓库查看创作者相关仓库

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在 Manus 中运行

Curate external feeds into RAG / Agent 热点专题

Preconditions

Read reference.md for the target site’s RSS URL, robots.txt notes, and RAG vs Agent routing hints.
Confirm the user wants summaries + links (recommended) rather than republishing full translated articles (copyright risk).

Workflow

1) Fetch latest items (no extra deps)

python3 tools/fetch_substack_rss.py --url https://blog.dailydoseofds.com/feed --limit 25 --json

Use another --url for a different Substack or any RSS 2.0 feed.

2) Filter & classify

Drop duplicates (same link).
Assign each item to site/topic-rag-hot.html or site/topic-agent-hot.html using the keyword heuristic in reference.md. If both apply, pick the stronger match or ask the user once.

3) Translate & summarize for the table

For each selected item, produce:

中文标题：忠实意译，可加括号标注原文关键术语。
一句话摘要：1–2 句中文，避免大段照搬。
标签：如 Agent / RAG / 工程 / 训练 等简短词。

Always keep the 原文链接 (link from RSS).

4) Patch the site

Append a <tr> block inside the <tbody> of the target page’s curated table. Match existing columns:

日期（可用 RSS pubDate 转短日期或 — 若不可靠）
中文标题 / 摘要
原文
归档（RAG 技术热点 或 Agent 技术热点）

Add a footnote line if the batch is large: “本期条目来自 RSS 抓取 + 人工摘要，版权归原作者。”

5) Quick QA

Links open in target="_blank" with rel="noopener noreferrer".
No paywalled content quoted at length; prefer summary + outbound link.
Run a local spot-check of the edited HTML in the browser if available.

Anti-patterns

Do not scrape aggressively (no parallel hammering); RSS polling is enough for “what’s new”.
Do not mirror full post HTML into the repo without rights clearance.
Do not strip attribution or canonical URLs.

Related site pages

RAG 专题入口：site/topic-rag.html（All-in-RAG 体系参考见同页 #all-in-rag）→ 论文分析 / 技术热点
Agent 专题入口：site/topic-agent.html → 论文分析 / 技术热点 / 生态对比

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name

curate-external-feed-topics

description

Curate external feeds into RAG / Agent 热点专题

Preconditions

Read reference.md for the target site’s RSS URL, robots.txt notes, and RAG vs Agent routing hints.
Confirm the user wants summaries + links (recommended) rather than republishing full translated articles (copyright risk).

Workflow

1) Fetch latest items (no extra deps)

python3 tools/fetch_substack_rss.py --url https://blog.dailydoseofds.com/feed --limit 25 --json

Use another --url for a different Substack or any RSS 2.0 feed.

2) Filter & classify

Drop duplicates (same link).
Assign each item to site/topic-rag-hot.html or site/topic-agent-hot.html using the keyword heuristic in reference.md. If both apply, pick the stronger match or ask the user once.

3) Translate & summarize for the table

For each selected item, produce:

中文标题：忠实意译，可加括号标注原文关键术语。
一句话摘要：1–2 句中文，避免大段照搬。
标签：如 Agent / RAG / 工程 / 训练 等简短词。

Always keep the 原文链接 (link from RSS).

4) Patch the site

Append a <tr> block inside the <tbody> of the target page’s curated table. Match existing columns:

日期（可用 RSS pubDate 转短日期或 — 若不可靠）
中文标题 / 摘要
原文
归档（RAG 技术热点 或 Agent 技术热点）

Add a footnote line if the batch is large: “本期条目来自 RSS 抓取 + 人工摘要，版权归原作者。”

5) Quick QA

Links open in target="_blank" with rel="noopener noreferrer".
No paywalled content quoted at length; prefer summary + outbound link.
Run a local spot-check of the edited HTML in the browser if available.

Anti-patterns

Do not scrape aggressively (no parallel hammering); RSS polling is enough for “what’s new”.
Do not mirror full post HTML into the repo without rights clearance.
Do not strip attribution or canonical URLs.

Related site pages

RAG 专题入口：site/topic-rag.html（All-in-RAG 体系参考见同页 #all-in-rag）→ 论文分析 / 技术热点
Agent 专题入口：site/topic-agent.html → 论文分析 / 技术热点 / 生态对比