Nature Figure
Citrus-bit/Anaxa
Submission-grade Nature/high-impact journal figure workflow for Python or R.
Audit, redesign, generate, and improve IEEE manuscript figures, tables, captions, result presentation, plotting scripts, visual polish, hybrid Python/R plus vector-editor workflows…
$ npx skills add CloudWave818/ieee-skills --skill ieee-figure-table -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install CloudWave818/ieee-skills ieee-figure-table --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/CloudWave818/ieee-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ieee-figure-table .claude/skills/ieee-figure-table && 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 "ieee-figure-table" agent skill from https://github.com/CloudWave818/ieee-skills/tree/main/skills/ieee-figure-table into .claude/skills/ieee-figure-table/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ieee-figure-table", 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/CloudWave818/ieee-skills/tree/main/skills/ieee-figure-tableType 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 CloudWave818/ieee-skills --skill ieee-figure-table -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install CloudWave818/ieee-skills ieee-figure-table --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/CloudWave818/ieee-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ieee-figure-table .agents/skills/ieee-figure-table && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ieee-figure-table" agent skill from https://github.com/CloudWave818/ieee-skills/tree/main/skills/ieee-figure-table into .agents/skills/ieee-figure-table/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ieee-figure-table", 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 CloudWave818/ieee-skills --skill ieee-figure-table -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install CloudWave818/ieee-skills ieee-figure-table --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/CloudWave818/ieee-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ieee-figure-table .cursor/skills/ieee-figure-table && 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 "ieee-figure-table" agent skill from https://github.com/CloudWave818/ieee-skills/tree/main/skills/ieee-figure-table into .cursor/skills/ieee-figure-table/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ieee-figure-table", 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/CloudWave818/ieee-skills.git --path skills/ieee-figure-table--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 CloudWave818/ieee-skills --skill ieee-figure-table -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install CloudWave818/ieee-skills ieee-figure-table --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/CloudWave818/ieee-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ieee-figure-table .gemini/skills/ieee-figure-table && 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 "ieee-figure-table" agent skill from https://github.com/CloudWave818/ieee-skills/tree/main/skills/ieee-figure-table into .gemini/skills/ieee-figure-table/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ieee-figure-table", 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 CloudWave818/ieee-skills ieee-figure-tableInstalls 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 CloudWave818/ieee-skills --skill ieee-figure-table -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/CloudWave818/ieee-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ieee-figure-table .github/skills/ieee-figure-table && 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 "ieee-figure-table" agent skill from https://github.com/CloudWave818/ieee-skills/tree/main/skills/ieee-figure-table into .github/skills/ieee-figure-table/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ieee-figure-table", 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 CloudWave818/ieee-skills --skill ieee-figure-table -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install CloudWave818/ieee-skills ieee-figure-table --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/CloudWave818/ieee-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ieee-figure-table .opencode/skills/ieee-figure-table && 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 "ieee-figure-table" agent skill from https://github.com/CloudWave818/ieee-skills/tree/main/skills/ieee-figure-table into .opencode/skills/ieee-figure-table/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ieee-figure-table", 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.
ieee-figure-tableAudit, redesign, generate, and improve IEEE manuscript figures, tables, captions, result presentation, plotting scripts, visual polish, hybrid Python/R plus vector-editor workflows…
Ieee Figure Table is an agent skill from CloudWave818/ieee-skills. Audit, redesign, generate, and improve IEEE manuscript figures, tables, captions, result presentation, plotting scripts, visual polish, hybrid Python/R plus vector-editor workflows, publication-ready matplotlib house style, and layout using routed visual-evidence checks. Use when checking or creating plot readability, axes, legends, line overlap, table structure, metric reporting, captions, grayscale accessibility, IEEE one-column/two-column layout, figure/table placement, claim-evidence mapping, reviewer…
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 57 other files, including scripts and reference files (for example `agents/openai.yaml`, `manifest.yaml` and `references/ieee-chart-patterns.md`).
It sits in Data & Analytics, covering Data visualization, Accessibility and Plain language and style rules. It works with Python, Matplotlib, Adobe Illustrator and Figma. The repository describes itself as: 面向 IEEE 风格论文写作、润色、审稿、实验、图表、LaTeX、引用和论文阅读的 Codex skills。 The licence is MIT.
10 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit ee30fda. 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.
Ships 2 files in scripts/ (Python, from the files we listed), which the agent can run.
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.
Ieee Figure Table loads about 1k tokens when it runs, and up to ~5.9k if it reads all its reference files. Until then it costs about 180 tokens; SKILL.md has 373 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); the scripts in this folder are not scanned.
The full file from CloudWave818/ieee-skills at commit ee30fda, republished under its MIT licence (© CloudWave818). 373 words, ~1,011 tokens.
.claude/skills/ieee-figure-table/SKILL.md (or your agent's skills folder). This skill also uses 52 other files; get the full folder from GitHub.Use this skill to make figures and tables function as professional IEEE evidence. The goal is not decoration; it is readable, fair, claim-aligned visual proof that still works after IEEE column scaling.
Do not rely on general design intuition alone. Follow the routing protocol and load the selected fragments.
manifest.yaml.always_load.visual_type: line-plot / bar-chart / scatter / confusion-matrix / comparison-table / ablation-table / architecture-diagram / algorithm-flowchart / multi-panel / generic.check_type: readability / accessibility / caption / layout / evidence-mapping / statistical-presentation.failure_mode: blurry-figure / bad-axis / overlapping-legend / misleading-scale / inconsistent-precision / weak-caption / unreadable-two-column.stage: audit / redesign / caption-writing / latex-placement.backend: python / r / hybrid / no-plot. Use hybrid when a figure is partly generated from data/code and partly finished in a vector/design tool. Use no-plot for audit-only, caption-only, table-only, or LaTeX-placement tasks that do not generate plotting code or image files.backend by explicit request, input workflow, or saved preference. If the intended output is a mechanism schematic, graphical workflow, polished composite, annotated experiment pipeline, or figure that cannot be cleanly produced end-to-end in Python/R, choose hybrid. If no preference exists for a pure plotting task, ask once: Python or R? I will remember this as your default for IEEE figures.scripts/ieee_plot_style.py helper or mirror its API when writing standalone manuscript code. For hybrid figures, separate data-generated layers from manually edited vector/layout layers and keep an edit log.Default output:
Detected axes: visual_type=..., check_type=..., failure_mode=..., stage=..., backend=...
Figure/table audit
Item | Supported claim | First-impression risk | Technical issue | Fix
Priority fixes
1. ...For caption writing, return revised captions plus missing information placeholders.
For redesign requests, provide concrete plot/table changes rather than generic advice.
For plotting or redraw requests, return:
IEEE figure contract
- Core claim:
- Evidence map:
- Final size:
- Visual style:
- Export bundle:
Files or code:
- ...
QA notes:
- ...Do not recommend misleading axis scaling.
Do not invent experimental results or statistical significance.
Do not make visual changes that obscure fair comparison, uncertainty, or negative results.
Do not use the official IEEE logo, IEEE marks, or invented acceptance/compliance claims in figures.
© CloudWave818, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 52 other files (scripts, references) in skills/ieee-figure-table of CloudWave818/ieee-skills.
Open the folder on GitHubat commit ee30fda
Ieee Figure Table 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 |
|---|---|---|---|---|---|---|
| Ieee Figure Table this skillCloudWave818/ieee-skills | 353 | — | ~1k | Automated safety check: Pass | MIT | |
| Nature FigureCitrus-bit/Anaxa | 120 | 2 repos | ~2.7k | Automated safety check: Pass | MIT | |
| Nature FigureNeuroAIHub/BrainPilot | 1k | 1 repos | ~1.3k | Automated safety check: Pass | AGPL-3.0 | |
| Nature FigureTai609/NebulaMat | 100 | — | ~1.9k | Automated safety check: Pass | Custom licence | |
| Academic Figure SkillTingxiYu/academic-figure-skill | 474 | 1 repos | ~7k | Automated safety check: Pass | Apache-2.0 | |
| CJK Font Setup for Plotsxjtulyc/MedgeClaw | 617 | 1 repos | ~1.3k | Automated safety check: Pass | None |
Citrus-bit/Anaxa
Submission-grade Nature/high-impact journal figure workflow for Python or R.
NeuroAIHub/BrainPilot
Submission-grade Nature/high-impact journal figure workflow for Python or R.
Tai609/NebulaMat
Create, revise, audit, and export submission-grade scientific figures for Nature-family and other high-impact venues in Python (matplotlib/seaborn) or R (ggplot2/patchwork/ComplexHeatmap), including…
TingxiYu/academic-figure-skill
Academic-grade scientific figure creation for Nature/Cell/Science journals.
xjtulyc/MedgeClaw
Detects a usable Chinese, Japanese or Korean font and configures matplotlib so chart labels, titles and legends render instead of showing empty boxes.
caylent/tufte-data-viz
A skill your agent uses when creating, reviewing, or styling charts, graphs, dashboards, sparklines, or any data visualization.
CloudWave818/ieee-skills
Summarize, organize, and normalize messy research materials into an IEEE-ready writing brief before manuscript drafting.
CloudWave818/ieee-skills
Check, clean, verify, and improve IEEE citations, references, BibTeX entries, citation positioning, related-work logic, DOI metadata, venue names, and reference formatting using routed citation and…
CloudWave818/ieee-skills
Design, audit, and strengthen experimental validation for IEEE manuscripts using routed claim-evidence checks.
CloudWave818/ieee-skills
Diagnose, fix, and improve IEEEtran LaTeX manuscripts using routed template, layout, float, equation, algorithm, table, bibliography, and PDF-compliance guidance.
CloudWave818/ieee-skills
Read, decompose, and analyze IEEE-style papers using routed technical-reading workflows.
CloudWave818/ieee-skills
Draft, diagnose, and improve IEEE rebuttals, revision plans, cover letters, response letters, and point-by-point replies using routed reviewer-comment handling.
Categories
Audit, redesign, generate, and improve IEEE manuscript figures, tables, captions, result presentation, plotting scripts, visual polish, hybrid Python/R plus vector-editor workflows…. Ieee Figure Table is an agent skill from CloudWave818/ieee-skills. Audit, redesign, generate, and improve IEEE manuscript figures, tables, captions, result presentation, plotting scripts, visual polish, hybrid Python/R plus vector-editor workflows, publication-ready matplotlib house style, and layout using routed visual-evidence checks.
Ieee Figure Table fits situations like: creating plot readability; table structure; metric reporting; grayscale accessibility.
Run `npx skills add CloudWave818/ieee-skills --skill ieee-figure-table -a claude-code`. Or copy the skill folder (skills/ieee-figure-table in CloudWave818/ieee-skills) into .claude/skills/ieee-figure-table in your project. Claude Code loads it when a task matches its description.
Run `npx skills add CloudWave818/ieee-skills --skill ieee-figure-table -a codex`. Or copy the skill folder (skills/ieee-figure-table in CloudWave818/ieee-skills) into .agents/skills/ieee-figure-table 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 CloudWave818/ieee-skills --skill ieee-figure-table -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ieee-figure-table, .gemini/skills/ieee-figure-table, .github/skills/ieee-figure-table and .opencode/skills/ieee-figure-table in your project.
Going by SKILL.md and its folder, Ieee Figure Table needs Python for the scripts in its folder. Our summary lists: Python 3.
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Ieee Figure Table is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1k tokens (SKILL.md is roughly 4k 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 4.9k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Ieee Figure Table: Nature Figure (Citrus-bit/Anaxa, 120 stars), Nature Figure (NeuroAIHub/BrainPilot, 1k stars), Nature Figure (Tai609/NebulaMat, 100 stars) and Academic Figure Skill (TingxiYu/academic-figure-skill, 474 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
CloudWave818 (a GitHub user) maintains it in CloudWave818/ieee-skills, which has 353 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on August 12, 2026.
Source: CloudWave818/ieee-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.