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Use when EZ_math_model needs to read, preview, clean, write, or summarize CSV, XLS, or XLSX attachments and result tables for modeling tasks.
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Baseado na classificação ocupacional SOC
Step 5 of the PaperOrchestra pipeline (arXiv:2604.05018). Iteratively refine drafts/paper.tex by simulating peer review and applying targeted revisions, with strict accept/revert halt rules. Maintains a worklog and snapshots each iteration so revert is real, not symbolic. TRIGGER when the orchestrator delegates Step 5 or when the user asks to "refine the draft", "iterate on the paper", or "run peer review on this paper".
Step 3 of the PaperOrchestra pipeline (arXiv:2604.05018). Execute the literature search strategy from outline.json — discover candidate papers via web search, verify them through Semantic Scholar (Levenshtein > 70 fuzzy title match, temporal cutoff, dedup by paperId), build a BibTeX file, and draft Introduction + Related Work using ≥90% of the verified pool. Runs in parallel with the plotting-agent. TRIGGER when the orchestrator delegates Step 3 or when the user asks to "find citations for my paper", "draft the related work", or "build the bibliography".
Step 1 of the PaperOrchestra pipeline (arXiv:2604.05018). Convert (idea.md, experimental_log.md, template.tex, conference_guidelines.md) into a strict JSON outline containing a plotting plan, literature search plan (Intro + Related Work), and section-level writing plan with citation hints. TRIGGER when the orchestrator delegates Step 1 or when the user asks to "outline a paper from raw materials" or "generate the paper structure".
Orchestrate the full PaperOrchestra (Song et al., 2026, arXiv:2604.05018) five-agent pipeline to turn unstructured research materials (idea, experimental log, LaTeX template, conference guidelines, optional figures) into a submission-ready LaTeX manuscript and compiled PDF. TRIGGER when the user asks to "write a paper from my experiments", "turn this idea and these results into a paper", "generate a conference submission", "run paper-orchestra on X", or otherwise wants the end-to-end paper-writing pipeline. Coordinates the outline-agent, plotting-agent, literature-review-agent, section-writing-agent, and content-refinement-agent skills.
Use when solving CUMCM, MCM, ICM, or other mathematical modeling tasks that need contest problem intake, model selection, Python solving, figures, paper writing, quality audit, and packaged deliverables.
Use when EZ_math_model needs to convert paper.md to paper.docx, read a DOCX problem statement, preserve equations and tables, or package a modeling report as a Word document.
| name | xlsx |
| description | Use when EZ_math_model needs to read, preview, clean, write, or summarize CSV, XLS, or XLSX attachments and result tables for modeling tasks. |
.xlsx、.xls、.csv 附件。results/qN_summary.csv 或 .xlsx。intake.json.attachments[i].preview。输出到 intake preview：
{
"shape": [1024, 8],
"columns": ["timestamp", "value"],
"head_3": [{"timestamp": "2024-01-01", "value": 12.3}],
"missing_per_col": {"value": 5}
}
pandas 读写和清洗。openpyxl 写公式或保留 Excel 格式。xlsx skill 处理公式刷新、LibreOffice 重算等高级场景。import pandas as pd
df = pd.read_excel("attachments/data.xlsx")
preview = {
"shape": list(df.shape),
"columns": df.columns.tolist(),
"head_3": df.head(3).to_dict("records"),
"missing_per_col": {c: int(n) for c, n in df.isna().sum().items() if n > 0},
}
df.to_csv("results/q1_summary.csv", index=False, encoding="utf-8")
CSV 编码尝试顺序：utf-8 → gbk → gb2312 → latin-1。
pd.read_csv(path, chunksize=200_000)。dtype。| 情况 | 处理 |
|---|---|
| 编码全失败 | 写诊断，建议用户提供 utf-8 版 |
| 列名含非法字符 | 生成 ASCII 安全别名并保留 column_alias.json |
| 文件超过 1GB | chunksize 分块处理 |