seandong-ak-rss-24h-brief
安装 / 下载方式
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curl -fsSL https://skills.taituai.com/api/skills/clawskills%3Aclawskills~seandong-ak-rss-24h-brief/file -o seandong-ak-rss-24h-brief.md--- name: ak-rss-24h-brief description: Read RSS/Atom feeds from an OPML list, fetch articles from the last N hours, and generate a Chinese categorized brief. Use for requests like “generate a 24-hour brief from this RSS list” or “summarize recent posts from an OPML feed bundle”. Output must keep original titles + links, group by category, and avoid fabricated facts. The RSS subscription list is shared by Andrej Karpathy (source post: https://x.com/karpathy/status/2018043254986703167). --- # AK RSS 24h Brief ## Command ```bash python3 scripts/generate_brief.py \ --opml-url "https://gist.githubusercontent.com/emschwartz/e6d2bf860ccc367fe37ff953ba6de66b/raw/426957f043dc0054f95aae6c19de1d0b4ecc2bb2/hn-popular-blogs-2025.opml" \ --hours 24 \ --min-items 5 \ --max-items 10 ``` ## Parameters - `--opml-url` / `--opml-file`: OPML source (choose one) - `--hours`: time window (default `24`) - `--min-items`: minimum output items (default `5`) - `--max-items`: maximum output items (default `10`) - `--timeout`: network timeout in seconds (default `15`) - `--max-feeds`: max feeds to fetch (default `200`) - `--workers`: concurrent workers (default `10`) ## Output Format (fixed) - Header line: - `- [RSS Source](https://gist.githubusercontent.com/emschwartz/e6d2bf860ccc367fe37ff953ba6de66b/raw/426957f043dc0054f95aae6c19de1d0b4ecc2bb2/hn-popular-blogs-2025.opml)` - Category heading: `## **Category Name**` - Article item: - `- [Original Title](URL)` - Next line: Chinese content summary (concise, content-based) - Footer line: `Overall Summary: ...` ### Example Snippet ```markdown # 技术资讯简报(最近 24 小时) - [RSS Source](https://gist.githubusercontent.com/emschwartz/e6d2bf860ccc367fe37ff953ba6de66b/raw/426957f043dc0054f95aae6c19de1d0b4ecc2bb2/hn-popular-blogs-2025.opml) ## **AI工程** - [How I think about Codex](https://simonwillison.net/2026/Feb/22/how-i-think-about-codex/#atom-everything) 重点澄清 Codex 相关概念与使用语境,帮助开发者在工具选择和工作流设计上减少认知偏差。 --- Overall Summary: 本期重点聚焦 AI 工程实践与开发效率优化。 ``` ## Constraints - Keep original article titles and links - Do not output source domain, published time, or fetch stats - Each item must be a Chinese content summary (no boilerplate phrasing, no raw truncation, no embedded English sentences) - Never fabricate facts