data-analysis-skill 是做什么的？
一个适用于 Claude Code 和 Codex 的技能，可将数据文件（CSV/Excel/JSON/TSV）转换为单文件、交互式 HTML 报告——从行业视角进行分析，优先展示统计数据和结论。
一个适用于 Claude Code 和 Codex 的技能，可将数据文件（CSV/Excel/JSON/TSV）转换为单文件、交互式 HTML 报告——从行业视角进行分析，优先展示统计数据和结论。
该技能允许开发者或 AI 代理用户将 CSV、Excel、JSON 或 TSV 等数据文件直接转换为一个独立的交互式 HTML 报告。它特别适用于需要快速数据探索和可视化的场景，支持 Claude Code 和 Codex 平台。技能的设计理念是“统计优先，结论先行”，即报告会先呈现关键统计指标和核心结论，再提供详细的行业视角分析和交互式图表。用户只需提供数据文件并指定行业背景（如零售、金融或医疗），技能即可自动生成包含表格、图表和洞察的完整报告，无需手动编写代码或配置复杂工具。这大大缩短了从数据到可分享洞察的周期，提高了数据分析工作的效率和可访问性。
npx skills add cabbage2000-lab/data-analysis-skillInstalled? Explore more 研究与数据分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
一个适用于 Claude Code 和 Codex 的技能，可将数据文件（CSV/Excel/JSON/TSV）转换为单文件、交互式 HTML 报告——从行业视角进行分析，优先展示统计数据和结论。
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.