analyzing-data 是做什么的？
查询数据仓库并回答关于数据的业务问题。处理需要数据库/仓库查询的问题，包括“谁在使用X”、“有多少Y”、“展示Z”、“查找客户”、“计数是多少”、数据查找、指标、趋势或SQL分析。
查询数据仓库并回答关于数据的业务问题。处理需要数据库/仓库查询的问题，包括“谁在使用X”、“有多少Y”、“展示Z”、“查找客户”、“计数是多少”、数据查找、指标、趋势或SQL分析。
`astronomer/analyzing-data` 是一个专为数据驱动场景设计的AI助手技能，旨在通过直接查询数据仓库来回答业务问题。它能够理解自然语言问题，如“谁在使用X”、“有多少Y”、“展示Z”或“查找客户”，并自动生成相应的SQL查询以获取答案。该技能支持数据查找、指标计算、趋势分析和计数统计等常见分析任务，帮助用户快速获取洞察，无需手动编写SQL代码。它适用于各种开发平台（如Claude Code、Cursor、Codex）和现代数据仓库环境，通过预定义模式或动态推断数据库结构来执行查询。技能的核心优势在于将业务问题转化为精确的数据库操作，从而加速决策过程并提高数据团队的效率。
npx skills add https://github.com/astronomer/agents/tree/main/skills/analyzing-dataInstalled? 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 →
查询数据仓库并回答关于数据的业务问题。处理需要数据库/仓库查询的问题，包括“谁在使用X”、“有多少Y”、“展示Z”、“查找客户”、“计数是多少”、数据查找、指标、趋势或SQL分析。
This repo contains 1 individual skill — each has its own dedicated page.
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.