菜单
Use when starting a paper project and needing to inventory local code, docs, datasets, constraints, and source materials before literature review or experiment planning.
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
| name | autoacad-prepare |
| description | Use when starting a paper project and needing to inventory local code, docs, datasets, constraints, and source materials before literature review or experiment planning. |
Use this stage to establish the paper project's ground truth before any literature or experiment work.
../scripts/init_paper_project.py if the project is not structured yet.PROGRESS.md entry before moving on.README.md file means more readable codebase and more reproducible, so more recommended.python language, and running coding in the local machine rather than in docker. For deep learning projects, prefer pytorch framework.<project>-paper/.PROGRESS.md.Use when running an end-to-end academic paper project or upgrading a research idea into a submission-grade workflow with literature review, experiments, writing, review, and export.
Use when interpreting experiment outputs, checking whether data supports the claims, and deciding whether to proceed, refine, or pivot.
Use when outlining, drafting, or revising a conference paper with explicit evidence links, section word budgets, and figure planning.
Use when preparing the final paper package, checking citations and archives, and exporting a submission-ready LaTeX or markdown deliverable.
Use when turning literature synthesis into testable hypotheses, research questions, contribution framing, or pivot decisions for a paper.
Use when designing experiment plans, baselines, ablations, compute budgets, and project structure for a research-paper project.