Individual skill
research-baseline-builder
把天文研究问题整理成明确的输入、输出、样本单位、数据划分和简单基线，适用于光变、光谱、图像和观测日志的首次实验。
skills/research-baseline-builder/SKILL.md
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- astronomy Repository topic
- astrophysics Repository topic
- large-language-models Repository topic
- llm Repository topic
- agents Repository topic
- ai4s Repository topic
- telescope Repository topic
- time-domain-astronomy Repository topic
- research Derived category
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SKILL.mdcore · 3,058 bytesSKILL.mdcore · 3,058 bytesSKILL.mdcore · 3,058 bytesagents/openai.yamlasset · 328 bytesastronomy.mddoc · 2,246 bytesreferences/baseline-workflow.mddoc · 7,016 bytesreferences/framework-selection.mddoc · 1,548 bytesreferences/goal-check.mddoc · 1,206 bytesreferences/model-templates.mddoc · 4,315 bytesreferences/problem-to-data-routing.mddoc · 3,373 bytesscripts/init_research_baseline_workspace.pyruns · 10,838 bytesscripts/run_research_baseline_workflow.pyruns · 8,484 bytestemplates/baseline_efficientnet.pyruns · 7,778 bytestemplates/baseline_gru.pyruns · 7,568 bytestemplates/baseline_randomforest.pyruns · 7,990 bytestemplates/baseline_xgboost_optuna.pyruns · 7,788 bytes
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# 建立研究基线
把研究问题整理成一次可检查的实验：输入什么、输出什么、一条样本代表什么，以及怎样判断结果是否回答了原问题。
## 先确认数据
先写清研究目标、样本单位、输入字段、目标变量、分组或时间信息与成功判据。天文对象、时间系统和数据划分的约定见 [astronomy.md](astronomy.md)。
缺少数据时，先给数据说明、预期表结构和实验安排；不编造字段或训练结果。需要判断数据任务与框架时，分别阅读 [问题与数据](references/problem-to-data-routing.md) 和 [框架选择](references/framework-selection.md)。
## 选择一个简单基线
| 数据 | 先做什么 | 模板参数 |
| --- | --- | --- |