strand-paper-to-spatial-skill 是做什么的？
用于STRAND风格论文到空间元数据管理的Codex技能
用于STRAND风格论文到空间元数据管理的Codex技能
该技能专为Codex平台设计，用于高效处理STRAND风格的论文到空间元数据转换与管理。它能够自动从科研论文中提取关键空间元数据，并按照STRAND标准进行结构化整理，从而简化从文献到空间数据集的转化流程。支持的平台包括Codex等AI编程助手。其工作原理基于解析论文文本，识别空间实体、坐标、时间信息等元数据字段，并将其映射到目标空间元数据模式中。对于需要从大量文献中快速提取并组织空间信息的开发者、数据科学家或地理空间研究人员来说，这一技能能显著提升数据准备效率，减少手动输入错误，并确保输出符合STRAND规范。
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用于STRAND风格论文到空间元数据管理的Codex技能
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.