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Generate Sci-Evo style AI4S training data from structured paper content.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
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.
