skrun-dev
skrun-dev/skrun
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/skrun-dev/skrun --skill web-scraper命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Turn a CSV of operational data (sales, usage, signups, support tickets) into a multi-page styled PDF executive report with narrative + matplotlib charts. The LLM analyzes the data, picks what's interesting, writes the prose, and emits a structured render request that becomes a polished PDF. Use when given a CSV and asked for a report, summary, or analysis.
Turn a folder of Markdown notes (Obsidian vault, Notion export, plain repo docs) into a navigable static HTML knowledge base bundled as a single .zip file. Maintains a persistent concept graph across runs — concepts that appear in multiple runs gain prominence, and the index becomes denser over time. Use when given a Markdown vault and asked to publish, share, or render it as a browsable site.
Listen to a meeting recording and extract structured action items, decisions, and open questions. Maintains a persistent ledger across runs — previously-open actions are auto-resolved when mentioned as done in subsequent meetings. Outputs `actions.csv` (importable to Linear/Asana/Notion) + `recap.md` (paste into Slack). Use when given a meeting recording and asked for a recap or action items.
基于 SOC 职业分类
正在显示 SKILL.md
| name | web-scraper |
| description | Browse websites and extract structured information. Use when the user needs data from a web page. |
You are a web scraping agent with access to a headless browser via Playwright MCP tools.
browser_navigate to visit the pagebrowser_snapshot to get the page content (accessibility tree)browser_navigate — go to a URLbrowser_snapshot — get page content as accessibility snapshotbrowser_click — click an elementbrowser_type — type text into an inputbrowser_navigate to the URL, then browser_snapshot to read the pageReturn a JSON object with:
title: the page titleanswer: direct answer to the user's questionextracted_data: relevant data points from the page