القائمة
Data acquisition for web scraping and data collection. Use when user needs "爬取数据/抓取网页/scrape data". Outputs structured JSON/CSV for analysis.
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
| name | data-base |
| description | Data acquisition for web scraping and data collection. Use when user needs "爬取数据/抓取网页/scrape data". Outputs structured JSON/CSV for analysis. |
Data acquisition is converting unstructured web content into structured data. Choose tool based on page complexity: JS-heavy → chrome-devtools MCP, static → Python requests.
| Page Type | Tool | When to Use |
|---|---|---|
| Dynamic (JS-rendered, SPAs) | chrome-devtools MCP | React/Vue apps, infinite scroll, login gates |
| Static HTML | Python requests | Blogs, news sites, simple pages |
| Complex/reusable logic | Python script | Multi-step scraping, rate limiting, proxies |
{source}_{timestamp}.{ext} (ASCII only, e.g., news_20250115.csv)Auto-initialize virtual environment if needed, then execute:
cd skills/data-base
if [ ! -f ".venv/bin/python" ]; then
echo "Creating Python environment..."
./setup.sh
fi
.venv/bin/python your_script.py
The setup script auto-installs: requests, beautifulsoup4, pandas, web scraping tools.
For detailed APIs and templates, load: references/REFERENCE.md, references/templates.md
FeatBit official documentation real-time Q&A assistant. Activate when user mentions "FeatBit", "feature flag", "feature toggle", or asks about FeatBit SDK integration, deployment, or configuration. Capabilities: Real-time fetching from docs.featbit.co and GitHub, supporting SDK integration, Docker/K8s deployment, feature flag configuration, A/B testing, and more.
Create distinctive, production-grade frontend interfaces with high design quality. Activate when user needs: "生成网页/创建网页/设计界面/前端设计/UI设计/网页制作/交互式网页". Output: Interactive HTML/CSS/React (web UI, components, dashboards, landing pages). Use for websites, web apps, interactive interfaces, posters with visual impact. NOT for document-style HTML reports (use document-creation for reports/docs).
通勤方案/路线规划（点到点或多点串联）。用于用户问“怎么去/怎么走/通勤方案/地铁公交换乘/打车多久多少钱/从酒店去景点或会场”等。 默认做实时查证并给来源链接与查询时间（当地时间）；不编造精确数字；写入日历必须用户明确确认。
Data analysis and statistical computation. Use when user needs "数据分析/统计/计算指标/数据洞察". Supports general analysis, financial data (stocks, returns), business data (sales, users), and scientific research. Uses pandas/numpy/scikit-learn for processing. Automatically activates data-base for data acquisition.
File router that routes uploaded files to appropriate analysis skills. CSV/Excel/JSON → data-analysis, Images → data-viz, PDF/HTML → data-base.
Data visualization for charts and graphs. Use when user needs "画图/图表/可视化". Creates static PNG or interactive HTML charts from data.