Agent skill

Environment Setup

by Norman-bury in Norman-bury/research-writing-skill

A skill your agent uses when Python environment setup is needed for data visualization or conda installation is required

MITAuto-check passedData & Analytics

Install Environment Setup

skills CLI

$ npx skills add Norman-bury/research-writing-skill --skill environment-setup -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install Norman-bury/research-writing-skill environment-setup --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/Norman-bury/research-writing-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/environment-setup .claude/skills/environment-setup && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "environment-setup" agent skill from https://github.com/Norman-bury/research-writing-skill/tree/main/skills/environment-setup into .claude/skills/environment-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "environment-setup", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/Norman-bury/research-writing-skill/tree/main/skills/environment-setup

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add Norman-bury/research-writing-skill --skill environment-setup -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install Norman-bury/research-writing-skill environment-setup --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Norman-bury/research-writing-skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/environment-setup .agents/skills/environment-setup && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "environment-setup" agent skill from https://github.com/Norman-bury/research-writing-skill/tree/main/skills/environment-setup into .agents/skills/environment-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "environment-setup", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add Norman-bury/research-writing-skill --skill environment-setup -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install Norman-bury/research-writing-skill environment-setup --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Norman-bury/research-writing-skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/environment-setup .cursor/skills/environment-setup && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "environment-setup" agent skill from https://github.com/Norman-bury/research-writing-skill/tree/main/skills/environment-setup into .cursor/skills/environment-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "environment-setup", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/Norman-bury/research-writing-skill.git --path skills/environment-setup

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add Norman-bury/research-writing-skill --skill environment-setup -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install Norman-bury/research-writing-skill environment-setup --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Norman-bury/research-writing-skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/environment-setup .gemini/skills/environment-setup && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "environment-setup" agent skill from https://github.com/Norman-bury/research-writing-skill/tree/main/skills/environment-setup into .gemini/skills/environment-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "environment-setup", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install Norman-bury/research-writing-skill environment-setup

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add Norman-bury/research-writing-skill --skill environment-setup -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/Norman-bury/research-writing-skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/environment-setup .github/skills/environment-setup && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "environment-setup" agent skill from https://github.com/Norman-bury/research-writing-skill/tree/main/skills/environment-setup into .github/skills/environment-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "environment-setup", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add Norman-bury/research-writing-skill --skill environment-setup -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install Norman-bury/research-writing-skill environment-setup --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Norman-bury/research-writing-skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/environment-setup .opencode/skills/environment-setup && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "environment-setup" agent skill from https://github.com/Norman-bury/research-writing-skill/tree/main/skills/environment-setup into .opencode/skills/environment-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "environment-setup", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: environment-setup
GitHub stars: 3.4k
Token cost: ~840 tokens
SKILL.md length: 77 words
Files: 1
Skills in repo: 20
Repo updated: Jun 10, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

A skill your agent uses when Python environment setup is needed for data visualization or conda installation is required

Works in 3 steps: 已激活 research 环境 → matplotlib 和 seaborn 导入正常 → 输出目录存在（如 figures/）
Python environment setup is needed for data visualization
SKILL.md covers 适用场景, Checklist, 一、系统识别 and 二、Miniconda 安装, plus 6 more sections
Calls conda, pip and python; reaches repo.anaconda.com and pypi.tuna.tsinghua.edu.cn

What it does

Environment Setup is an agent skill from Norman-bury/research-writing-skill. Use when Python environment setup is needed for data visualization or conda installation is required

Its SKILL.md is about 840 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Data & Analytics, covering Data visualization. It works with Python, macOS, PowerShell and Linux. The repository describes itself as: 科研写作助手 (Research Writing Assistant). The licence is MIT.

When your agent uses it

Python environment setup is needed for data visualization
Conda installation is required

Example prompts

“/environment-setup”

Requirements

Python 3

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

已激活 research 环境
matplotlib 和 seaborn 导入正常
输出目录存在（如 figures/）

What it can do on your machine

Read from SKILL.md and the folder at commit 6f79595. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
- conda
- pip
- python
- curl
- bash
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
- repo.anaconda.com
- pypi.tuna.tsinghua.edu.cn
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Environment Setup loads about 840 tokens when it runs. Until then it costs about 30 tokens; SKILL.md has 77 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~30
When it runs · the whole SKILL.md, loaded when a task matches: ~840

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Norman-bury/research-writing-skill at commit 6f79595, republished under its MIT licence (© Norman-bury). 77 words, ~840 tokens.

Download SKILL.mdSave it as .claude/skills/environment-setup/SKILL.md (or your agent's skills folder).

name: environment-setup
description: Use when Python environment setup is needed for data visualization or conda installation is required

环境配置

本技能用于在终端完成 Python 画图环境的全流程配置。

适用场景

用户要求安装 Miniconda
用户要求创建虚拟环境
用户要求"用 Python 画图"但环境未就绪
绘图脚本运行报环境相关错误

Checklist

系统识别（macOS/Linux/Windows）
Miniconda 安装/修复
conda 初始化
创建 research 环境
安装绘图依赖
环境自检
更新 plan/progress.md

一、系统识别

macOS / Linux

bash

uname -s
uname -m
echo "$SHELL"

Windows PowerShell

powershell

$PSVersionTable.PSVersion
$env:OS

二、Miniconda 安装

macOS 全自动流程

bash

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

Windows 全自动流程（PowerShell）

powershell

$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

三、创建科研虚拟环境

默认环境名：research

创建与激活

bash

conda create -n research python=3.11 -y
conda activate research
python -m pip install --upgrade pip

四、安装绘图依赖

bash

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：

bash

pip install plotly pingouin

五、环境自检

bash

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

六、画图任务前检查

执行画图任务前，至少确认：

已激活 research 环境
matplotlib 和 seaborn 导入正常
输出目录存在（如 figures/）

七、常见问题与修复

`conda: command not found`

macOS / Linux：

bash

export PATH="$HOME/miniconda3/bin:$PATH"
conda init "$(basename "$SHELL")"

Windows PowerShell：

powershell

$env:Path = "$env:USERPROFILE\miniconda3;$env:USERPROFILE\miniconda3\Scripts;" + $env:Path

下载慢或超时

bash

pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple

包冲突

bash

conda create -n research_clean python=3.11 -y
conda activate research_clean
pip install -r requirements.txt

八、执行约束

<HARD-GATE>
1. 用户提到"安装环境/画图报错"，优先执行本技能
2. 先识别系统，再给对应命令，禁止跨系统混发命令
3. 执行完成后，必须回写 `plan/progress.md`
</HARD-GATE>

Files

Just SKILL.md in skills/environment-setup of Norman-bury/research-writing-skill.

Open the folder on GitHubat commit 6f79595

Compare with similar skills

Environment Setup next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Environment Setup compared with similar skills
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Environment Setup this skillNorman-bury/research-writing-skill	3.4k	—	~840	Automated safety check: Pass	MIT	4 mo ago
Remote Hostslibnativeapi/nativeapi	161	—	~1.3k	Automated safety check: Pass	MIT	yesterday
Local Asrysyecust/lecture-to-notes	270	—	~1.6k	Automated safety check: Pass	Custom licence	5 days ago
UvBiFangKNT/mtga	1.2k	—	~541	Automated safety check: Pass	AGPL-3.0	3 mo ago
Setupmarketcalls/vectorbt-backtesting-skills	208	—	~2k	Automated safety check: Notes	None	2 mo ago
Image Manipulation Image Magickgithub/awesome-copilot	40k	1 repos	~1.7k	Automated safety check: Notes	MIT	today

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Questions about Environment Setup

What does Environment Setup do?

A skill your agent uses when Python environment setup is needed for data visualization or conda installation is required. Environment Setup is an agent skill from Norman-bury/research-writing-skill.

When should I use Environment Setup?

Environment Setup fits situations like: Python environment setup is needed for data visualization; conda installation is required.

How do I install Environment Setup in Claude Code?

Run `npx skills add Norman-bury/research-writing-skill --skill environment-setup -a claude-code`. Or copy the skill folder (skills/environment-setup in Norman-bury/research-writing-skill) into .claude/skills/environment-setup in your project. Claude Code loads it when a task matches its description.

How do I install Environment Setup in Codex?

Run `npx skills add Norman-bury/research-writing-skill --skill environment-setup -a codex`. Or copy the skill folder (skills/environment-setup in Norman-bury/research-writing-skill) into .agents/skills/environment-setup in your project. Codex loads it when a task matches its description.

Can I use Environment Setup in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Norman-bury/research-writing-skill --skill environment-setup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/environment-setup, .gemini/skills/environment-setup, .github/skills/environment-setup and .opencode/skills/environment-setup in your project.

What does Environment Setup need to run?

Going by SKILL.md and its folder, Environment Setup needs the command-line tools its instructions call (conda, pip, python, curl and bash). Our summary lists: Python 3.

Does Environment Setup access the network?

SKILL.md names 2 domains. In commands or code: repo.anaconda.com and pypi.tuna.tsinghua.edu.cn; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Environment Setup safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Environment Setup use?

Environment Setup is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Environment Setup use?

About 840 tokens (SKILL.md is roughly 3.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Environment Setup?

Skills that share tags, products or a category with Environment Setup: Remote Hosts (libnativeapi/nativeapi, 161 stars), Local Asr (ysyecust/lecture-to-notes, 270 stars), Uv (BiFangKNT/mtga, 1.2k stars) and Setup (marketcalls/vectorbt-backtesting-skills, 208 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Environment Setup?

Norman-bury (a GitHub user) maintains it in Norman-bury/research-writing-skill, which has 3,357 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on June 10, 2026.

Source: Norman-bury/research-writing-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Environment Setup

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

环境配置

适用场景

Checklist

一、系统识别

macOS / Linux

Windows PowerShell

二、Miniconda 安装

macOS 全自动流程

Windows 全自动流程（PowerShell）

三、创建科研虚拟环境

创建与激活

四、安装绘图依赖

五、环境自检

六、画图任务前检查

七、常见问题与修复

conda: command not found

下载慢或超时

包冲突

八、执行约束

Files

Compare with similar skills

Similar skills

More from Norman-bury/research-writing-skill

Related

Questions about Environment Setup

`conda: command not found`