菜单
Use when Python environment setup is needed for data visualization or conda installation is required
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
Use when writing academic papers, theses, or research articles - supports brainstorming, chapter writing, literature review, and LaTeX output
Use for translation, polishing, or de-AI-ification of academic text - provides ready-to-use prompt templates
Use when writing or revising academic papers, especially Chinese journal manuscripts, that need natural prose, de-AI-ification, Markdown formatting, or quality checks
Use when writing or revising Introduction, Related Work, background, literature synthesis, or any section where references must drive claims
Use when designing experiments, result tables, mock planning data, evaluation protocols, or results sections before real data are final
Use when creating data visualizations for papers - generates publication-quality plots with top-journal color schemes
| name | environment-setup |
| description | Use when Python environment setup is needed for data visualization or conda installation is required |
本技能用于在终端完成 Python 画图环境的全流程配置。
research 环境plan/progress.mduname -s
uname -m
echo "$SHELL"
$PSVersionTable.PSVersion
$env:OS
set -euo pipefail
# 1) 选择安装包
ARCH="$(uname -m)"
if [ "$ARCH" = "arm64" ]; then
URL="https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-arm64.sh"
else
URL="https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh"
fi
# 2) 下载并静默安装
INSTALLER="$HOME/Downloads/miniconda.sh"
curl -fsSL "$URL" -o "$INSTALLER"
bash "$INSTALLER" -b -p "$HOME/miniconda3"
# 3) 当前 shell 立即可用
export PATH="$HOME/miniconda3/bin:$PATH"
# 4) 初始化 shell
"$HOME/miniconda3/bin/conda" init "$(basename "$SHELL")"
# 5) 验证
conda --version
$ErrorActionPreference = "Stop"
# 1) 下载
$installer = Join-Path $env:TEMP "Miniconda3-latest-Windows-x86_64.exe"
Invoke-WebRequest -Uri "https://repo.anaconda.com/miniconda/Miniconda3-latest-Windows-x86_64.exe" -OutFile $installer
# 2) 静默安装
$target = "$env:USERPROFILE\miniconda3"
Start-Process -FilePath $installer -ArgumentList "/InstallationType=JustMe","/RegisterPython=0","/S","/D=$target" -Wait
# 3) 初始化 powershell
& "$target\Scripts\conda.exe" init powershell
# 4) 验证
$env:Path = "$target;$target\Scripts;$target\condabin;" + $env:Path
conda --version
默认环境名：research
conda create -n research python=3.11 -y
conda activate research
python -m pip install --upgrade pip
pip install numpy pandas scipy matplotlib seaborn scikit-learn statsmodels jupyter ipykernel openpyxl
python -m ipykernel install --user --name research --display-name "Python (research)"
可选：
pip install plotly pingouin
python - <<'PY'
import sys
import numpy, pandas, matplotlib, seaborn, sklearn, statsmodels
print('Python:', sys.version.split()[0])
print('numpy:', numpy.__version__)
print('pandas:', pandas.__version__)
print('matplotlib:', matplotlib.__version__)
print('seaborn:', seaborn.__version__)
print('sklearn:', sklearn.__version__)
print('statsmodels:', statsmodels.__version__)
print('ENV CHECK: OK')
PY
执行画图任务前，至少确认：
research 环境matplotlib 和 seaborn 导入正常figures/）conda: command not foundmacOS / Linux：
export PATH="$HOME/miniconda3/bin:$PATH"
conda init "$(basename "$SHELL")"
Windows PowerShell：
$env:Path = "$env:USERPROFILE\miniconda3;$env:USERPROFILE\miniconda3\Scripts;" + $env:Path
pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
conda create -n research_clean python=3.11 -y
conda activate research_clean
pip install -r requirements.txt