Matplotlib
zLanqing/codex-claude-academic-skills
Low-level plotting library for full customization. An agent skill from zLanqing/codex-claude-academic-skills.
Follow the bundled R scatterplot specification. An agent skill from Jinze-Lee/codex-skills-workbench.
$ npx skills add Jinze-Lee/codex-skills-workbench --skill r-scatter-plot-spec -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Jinze-Lee/codex-skills-workbench r-scatter-plot-spec --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Jinze-Lee/codex-skills-workbench.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/r-scatter-plot-spec .claude/skills/r-scatter-plot-spec && rm -rf skills-srcUse ~/.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/
Install the "r-scatter-plot-spec" agent skill from https://github.com/Jinze-Lee/codex-skills-workbench/tree/main/skills/r-scatter-plot-spec into .claude/skills/r-scatter-plot-spec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "r-scatter-plot-spec", 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 install https://github.com/Jinze-Lee/codex-skills-workbench/tree/main/skills/r-scatter-plot-specType 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.
$ npx skills add Jinze-Lee/codex-skills-workbench --skill r-scatter-plot-spec -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Jinze-Lee/codex-skills-workbench r-scatter-plot-spec --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Jinze-Lee/codex-skills-workbench.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/r-scatter-plot-spec .agents/skills/r-scatter-plot-spec && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "r-scatter-plot-spec" agent skill from https://github.com/Jinze-Lee/codex-skills-workbench/tree/main/skills/r-scatter-plot-spec into .agents/skills/r-scatter-plot-spec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "r-scatter-plot-spec", 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.
$ npx skills add Jinze-Lee/codex-skills-workbench --skill r-scatter-plot-spec -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Jinze-Lee/codex-skills-workbench r-scatter-plot-spec --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Jinze-Lee/codex-skills-workbench.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/r-scatter-plot-spec .cursor/skills/r-scatter-plot-spec && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "r-scatter-plot-spec" agent skill from https://github.com/Jinze-Lee/codex-skills-workbench/tree/main/skills/r-scatter-plot-spec into .cursor/skills/r-scatter-plot-spec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "r-scatter-plot-spec", 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 https://github.com/Jinze-Lee/codex-skills-workbench.git --path skills/r-scatter-plot-spec--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Jinze-Lee/codex-skills-workbench --skill r-scatter-plot-spec -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Jinze-Lee/codex-skills-workbench r-scatter-plot-spec --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Jinze-Lee/codex-skills-workbench.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/r-scatter-plot-spec .gemini/skills/r-scatter-plot-spec && rm -rf skills-srcUse ~/.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/
Install the "r-scatter-plot-spec" agent skill from https://github.com/Jinze-Lee/codex-skills-workbench/tree/main/skills/r-scatter-plot-spec into .gemini/skills/r-scatter-plot-spec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "r-scatter-plot-spec", 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.
$ gh skill install Jinze-Lee/codex-skills-workbench r-scatter-plot-specInstalls 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).
$ npx skills add Jinze-Lee/codex-skills-workbench --skill r-scatter-plot-spec -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Jinze-Lee/codex-skills-workbench.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/r-scatter-plot-spec .github/skills/r-scatter-plot-spec && rm -rf skills-srcUse ~/.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/
Install the "r-scatter-plot-spec" agent skill from https://github.com/Jinze-Lee/codex-skills-workbench/tree/main/skills/r-scatter-plot-spec into .github/skills/r-scatter-plot-spec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "r-scatter-plot-spec", 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.
$ npx skills add Jinze-Lee/codex-skills-workbench --skill r-scatter-plot-spec -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Jinze-Lee/codex-skills-workbench r-scatter-plot-spec --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Jinze-Lee/codex-skills-workbench.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/r-scatter-plot-spec .opencode/skills/r-scatter-plot-spec && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "r-scatter-plot-spec" agent skill from https://github.com/Jinze-Lee/codex-skills-workbench/tree/main/skills/r-scatter-plot-spec into .opencode/skills/r-scatter-plot-spec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "r-scatter-plot-spec", 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.
r-scatter-plot-specFollow the bundled R scatterplot specification. An agent skill from Jinze-Lee/codex-skills-workbench.
R Scatter Plot Spec is an agent skill from Jinze-Lee/codex-skills-workbench. Follow the bundled R scatterplot specification. Use this skill only when the user explicitly invokes $r-scatter-plot-spec. Do not auto-select this skill for general R plotting, scatterplot, or regression tasks.
Its SKILL.md is about 290 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `agents/openai.yaml` and `references/source-note.md`).
It sits in Data & Analytics, covering Data visualization.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 7aa34a5. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
R Scatter Plot Spec loads about 291 tokens when it runs, and up to ~576 if it reads all its reference files. Until then it costs about 58 tokens; SKILL.md has 112 words of instructions outside code blocks.
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.
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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 112 words (~291 tokens).
“Use references/source-note.md as the source of truth for this skill.”
SKILL.md and 2 other files (references) in skills/r-scatter-plot-spec of Jinze-Lee/codex-skills-workbench.
Open the folder on GitHubat commit 7aa34a5
R Scatter Plot Spec 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| R Scatter Plot Spec this skillJinze-Lee/codex-skills-workbench | 109 | — | ~291 | Automated safety check: Pass | None | |
| MatplotlibzLanqing/codex-claude-academic-skills | 4.7k | 17 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Chart Visualizationbytedance/deer-flow | 84k | 2 repos | ~840 | Automated safety check: Pass | MIT | |
| Scientific Visualizationmims-harvard/OptimusKG | 146 | 19 repos | ~6.3k | Automated safety check: Pass | MIT | |
| SeabornzLanqing/codex-claude-academic-skills | 4.7k | 15 repos | ~4.9k | Automated safety check: Pass | BSD-3-Clause | |
| Plot From DataTrae1ounG/paper-plot-skills | 869 | 1 repos | ~583 | Automated safety check: Pass | None |
zLanqing/codex-claude-academic-skills
Low-level plotting library for full customization. An agent skill from zLanqing/codex-claude-academic-skills.
bytedance/deer-flow
Picks a suitable chart type from 26 options for your data, maps the data to that chart's parameters and generates a chart image through a JavaScript script.
mims-harvard/OptimusKG
Create publication figures with matplotlib/seaborn/plotly. An agent skill from mims-harvard/OptimusKG.
zLanqing/codex-claude-academic-skills
Statistical visualization with pandas integration. An agent skill from zLanqing/codex-claude-academic-skills.
Trae1ounG/paper-plot-skills
Generate publication-quality matplotlib figures by selecting a pre-built paper style and substituting user data.
ChenLiu-1996/figures4papers
Covers publication-ready matplotlib figures for academic papers, slides, and reports—bars, trends, scatter, heatmaps, and multi-panel layouts—with this…
Jinze-Lee/codex-skills-workbench
Guides the writing of a Chinese master's thesis and generates the Word file from a template, only when you invoke it by name.
Jinze-Lee/codex-skills-workbench
Local workflow that searches PubMed, Europe PMC, Crossref and OpenAlex for topic keywords, downloads accessible PDFs into a PDF-only folder and removes duplicates.
Jinze-Lee/codex-skills-workbench
Fix ggplot2 superscript and richtext rendering issues using the bundled note.
Jinze-Lee/codex-skills-workbench
Follow the bundled ecology hypervolume workflow. Use this skill only when the user explicitly invokes `$hypervolume-workflow`. Do not auto-select this skill…
Jinze-Lee/codex-skills-workbench
Follow the bundled literature-synthesis guide. An agent skill from Jinze-Lee/codex-skills-workbench.
Jinze-Lee/codex-skills-workbench
Follow the bundled method-transfer guide. An agent skill from Jinze-Lee/codex-skills-workbench.
Categories
Follow the bundled R scatterplot specification. An agent skill from Jinze-Lee/codex-skills-workbench. R Scatter Plot Spec is an agent skill from Jinze-Lee/codex-skills-workbench. Follow the bundled R scatterplot specification.
R Scatter Plot Spec fits situations like: explicitly invokes $r-scatter-plot-spec; tasks that involve Data visualization.
Run `npx skills add Jinze-Lee/codex-skills-workbench --skill r-scatter-plot-spec -a claude-code`. Or copy the skill folder (skills/r-scatter-plot-spec in Jinze-Lee/codex-skills-workbench) into .claude/skills/r-scatter-plot-spec in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Jinze-Lee/codex-skills-workbench --skill r-scatter-plot-spec -a codex`. Or copy the skill folder (skills/r-scatter-plot-spec in Jinze-Lee/codex-skills-workbench) into .agents/skills/r-scatter-plot-spec in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Jinze-Lee/codex-skills-workbench --skill r-scatter-plot-spec -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/r-scatter-plot-spec, .gemini/skills/r-scatter-plot-spec, .github/skills/r-scatter-plot-spec and .opencode/skills/r-scatter-plot-spec in your project.
SKILL.md names no scripts, command-line tools or credentials: R Scatter Plot Spec is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
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.
No licence was found for R Scatter Plot Spec or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 291 tokens (SKILL.md is roughly 1.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 285 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with R Scatter Plot Spec: Matplotlib (zLanqing/codex-claude-academic-skills, 4.7k stars), Chart Visualization (bytedance/deer-flow, 84k stars), Scientific Visualization (mims-harvard/OptimusKG, 146 stars) and Seaborn (zLanqing/codex-claude-academic-skills, 4.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Jinze-Lee (a GitHub user) maintains it in Jinze-Lee/codex-skills-workbench, which has 109 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on May 2, 2026.
Source: Jinze-Lee/codex-skills-workbench on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.