القائمة
对CSV或Excel数据进行全面的可视化分析，包括描述性统计、相关性分析、特征分布图和热力图，并生成HTML格式的交互式分析报告；当用户需要数据分析、数据可视化、探索性数据分析或生成数据报告时使用
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-viz-analyzer |
| description | 对CSV或Excel数据进行全面的可视化分析，包括描述性统计、相关性分析、特征分布图和热力图，并生成HTML格式的交互式分析报告；当用户需要数据分析、数据可视化、探索性数据分析或生成数据报告时使用 |
| dependency | {"python":["pandas>=1.3.0","numpy>=1.21.0","matplotlib>=3.4.0","seaborn>=0.11.0","openpyxl>=3.0.0","jinja2>=3.0.0"]} |
pandas>=1.3.0
numpy>=1.21.0
matplotlib>=3.4.0
seaborn>=0.11.0
openpyxl>=3.0.0
jinja2>=3.0.0
scripts/data_visualizer.py 加载数据并进行初步验证python /workspace/projects/data-viz-analyzer/scripts/data_visualizer.py <input_file> --output <output_dir>
data_analysis_report.html：交互式分析报告figures/：所有可视化图表（PNG 格式）python /workspace/projects/data-viz-analyzer/scripts/data_visualizer.py ./sales_data.csv --output ./analysis_results
输出：包含销售额、利润、客户数等特征的分布图和相关性分析的 HTML 报告
python /workspace/projects/data-viz-analyzer/scripts/data_visualizer.py ./user_behavior.xlsx --output ./user_analysis
输出：用户活跃度、留存率、转化率等指标的统计分析和可视化报告
python /workspace/projects/data-viz-analyzer/scripts/data_visualizer.py ./data.csv --output ./my_report
输出：分析报告保存在 ./my_report/data_analysis_report.html
Convert files and office documents to Markdown. Supports PDF, DOCX, PPTX, XLSX, images (with OCR), audio (with transcription), HTML, CSV, JSON, XML, ZIP, YouTube URLs, EPubs and more.
Use this skill when users need to search academic papers, download research documents, extract citations, or gather scholarly information. Triggers include: requests to "find papers on", "search research about", "download academic articles", "get citations for", or any request involving academic databases like arXiv, PubMed, Semantic Scholar, or Google Scholar. Also use for literature reviews, bibliography generation, and research discovery. Requires OpenClawCLI installation from clawhub.ai.
Search academic papers and conduct literature reviews using OpenAlex API (free, no key needed). Use when the user needs to find scholarly papers by topic/author/DOI, explore citation chains, get structured paper metadata (title, authors, abstract, citations, DOI, open access URL), fetch full text of open access papers, or conduct automated literature reviews with theme identification and synthesis. Triggers on requests involving academic search, paper lookup, citation analysis, literature review, research synthesis, or scholarly reference gathering.
Use AI4Scholar author tools to search scholars, inspect author profiles, retrieve an author's papers, compare experts, identify potential reviewers, map labs or collaborators, and verify whether an author is the correct person.
Use AI4Scholar auto_cite to add real citations to academic text and return formatted references and BibTeX. Trigger for automatic citation insertion, APA/IEEE/Vancouver/Nature citation support, reference generation, BibTeX export, or checking whether claims have real supporting papers.
Use AI4Scholar to trace citation networks: citing papers, references, PubMed related papers, backward/forward citation search, classic paper discovery, mechanism literature expansion, and reviewer-style citation gap checks.