lseg-data-skill 是做什么的?
便携式 Claude 技能,通过 lseg.data Python 库查询 LSEG / Refinitiv 金融数据:提供使用指南和经 API 验证的字段目录。
便携式 Claude 技能,通过 lseg.data Python 库查询 LSEG / Refinitiv 金融数据:提供使用指南和经 API 验证的字段目录。
该技能为 AI 代理(如 Claude)提供了一个便携式工具集,用于通过 lseg.data Python 库高效查询 LSEG(伦敦证券交易所集团)和 Refinitiv 的金融数据。它包含了详细的使用指南,帮助开发者快速上手并掌握常见操作模式,同时还附带一个经过实际 API 调用验证的字段目录,确保所引用的数据字段准确可用。该技能主要面向需要从金融数据源(如股票行情、基本面数据等)中提取信息的开发者或自动化工作流,支持在 Claude Code、Cursor 或其他兼容工具体系中运行。通过集成 lseg.data 库,用户无需手动编写复杂的 API 调用代码,只需描述需求(如“获取 AAPL 的当前价格”),AI 即可利用该技能返回结构化数据。此技能通过降低与 LSEG 数据接口的交互门槛,显著提升了金融数据分析的效率。
npx skills add eduseyde/lseg-data-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 →
便携式 Claude 技能,通过 lseg.data Python 库查询 LSEG / Refinitiv 金融数据:提供使用指南和经 API 验证的字段目录。
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.