sci-evo-generation
星标12
分支4
更新时间2026年5月13日 17:30
Generate Sci-Evo style AI4S training data from structured paper content.
安装
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
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相关职业SOC
基于 SOC 职业分类
菜单
Generate Sci-Evo style AI4S training data from structured paper content.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Designs and builds ETL/ELT data pipelines. Takes data sources, destination, transformation requirements. Generates pipeline code (Python/SQL), scheduling config, error handling, monitoring setup, and data quality checks. Outputs data-pipeline-spec.md + implementation files.
Review AI4S generated data for structure, scientific consistency, and hallucination risk.
Use MinerU to parse scientific PDFs into structured JSON for AI4S data generation.
Coordinate crawler, parser, synthesizer, and reviewer agents for AI4S data production.
| name | sci-evo-generation |
| description | Generate Sci-Evo style AI4S training data from structured paper content. |
Use this skill when converting parsed scientific papers into AI4S training examples.
Generated samples should be complete, internally consistent, and suitable for the downstream quality review workflow.