Agent skill

Ieee Figure Table

by CloudWave818 in 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…

MITAuto-check passedData & Analytics

Install Ieee Figure Table

skills CLI
$ npx skills add CloudWave818/ieee-skills --skill ieee-figure-table -a claude-code

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

GitHub CLI
$ gh skill install CloudWave818/ieee-skills ieee-figure-table --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/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-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/

Facts

Skill name
ieee-figure-table
GitHub stars
353
Token cost
~1k tokens
SKILL.md length
373 words
Files
53 (incl. scripts, references)
Skills in repo
10
Repo updated
First seen
Licence
MIT

At a glance

Audit, redesign, generate, and improve IEEE manuscript figures, tables, captions, result presentation, plotting scripts, visual polish, hybrid Python/R plus vector-editor workflows…

  • Works in 10 steps: Read manifest.yaml. → Read every file listed under always_load. → Detect the axes → …
  • Creating plot readability
  • SKILL.md covers Routing Protocol, Output Contract and Red Lines
  • Runs Python scripts from its folder

What it does

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.

When your agent uses it

  • Creating plot readability
  • Table structure
  • Metric reporting
  • Grayscale accessibility

Example prompts

  • “/ieee-figure-table”

Requirements

  • Python 3

Workflow steps

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

  1. Read manifest.yaml.
  2. Read every file listed under always_load.
  3. Detect the axes
  4. For plotting/redrawing tasks, resolve backend by explicit request, input workflow, or saved preference. If the intended output is a…
  5. State the detected axes in one short line.
  6. Load only the matching fragments.
  7. For plotting/redrawing, establish an IEEE figure contract before code: core engineering claim, evidence-panel map, final column size…
  8. Map each figure/table to the claim it supports.
  9. For Python plotting, prefer the bundled scripts/ieee_plot_style.py helper or mirror its API when writing standalone manuscript code. For…
  10. Report first-impression risks before cosmetic suggestions.

What it can do on your machine

Read from SKILL.md and the folder at commit ee30fda. 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

    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.

  • Network

    No URLs in SKILL.md.

    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

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.

Always · name and description, kept in context so the agent knows when to use it
~180
When it runs · the whole SKILL.md, loaded when a task matches
~1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.9k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from CloudWave818/ieee-skills at commit ee30fda, republished under its MIT licence (© CloudWave818). 373 words, ~1,011 tokens.

Download SKILL.mdSave it as .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.
name
ieee-figure-table
description
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 first-impression risks, matplotlib/seaborn or ggplot2 figure code, SVG/PDF/TIFF/PNG export, Illustrator/Inkscape/PowerPoint/Figma finishing plans, or IEEE-style engineering evidence graphics.

IEEE Figure Table Router

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.

Routing Protocol

  1. Read manifest.yaml.
  2. Read every file listed under always_load.
  3. Detect the axes:
    • 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.
  4. For plotting/redrawing tasks, resolve 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.
  5. State the detected axes in one short line.
  6. Load only the matching fragments.
  7. For plotting/redrawing, establish an IEEE figure contract before code: core engineering claim, evidence-panel map, final column size, metric/condition definitions, export formats, visual style target, and QA risks.
  8. Map each figure/table to the claim it supports.
  9. For Python plotting, prefer the bundled 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.
  10. Report first-impression risks before cosmetic suggestions.
Show full SKILL.md (75 more words)Show less

Output Contract

Default output:

text
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:

text
IEEE figure contract
- Core claim:
- Evidence map:
- Final size:
- Visual style:
- Export bundle:

Files or code:
- ...

QA notes:
- ...

Red Lines

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

Files

SKILL.md and 52 other files (scripts, references) in skills/ieee-figure-table of CloudWave818/ieee-skills.

  • SKILL.md
  • agents/openai.yaml
  • manifest.yaml
  • references/ieee-chart-patterns.md
  • references/ieee-export-qa.md
  • references/ieee-hybrid-figure-workflow.md
  • references/ieee-plotting-api.md
  • references/ieee-plotting-contract.md
  • references/ieee-visual-style.md
  • scripts/ieee_figure_backend.py
  • scripts/ieee_plot_style.py
  • static/core/figure-contract.md
  • static/core/first-impression.md
  • static/core/output-format.md
  • static/core/stance.md
  • static/core/workflow.md
  • … and 37 more

Open the folder on GitHubat commit ee30fda

Compare with similar skills

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.

Ieee Figure Table compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ieee Figure Table this skillCloudWave818/ieee-skills353—~1kAutomated safety check: PassMIT
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Nature FigureNeuroAIHub/BrainPilot1k1 repos~1.3kAutomated safety check: PassAGPL-3.0
Nature FigureTai609/NebulaMat100—~1.9kAutomated safety check: PassCustom licence
Academic Figure SkillTingxiYu/academic-figure-skill4741 repos~7kAutomated safety check: PassApache-2.0
CJK Font Setup for Plotsxjtulyc/MedgeClaw6171 repos~1.3kAutomated safety check: PassNone

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  • Ieee Paper Reader

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  • Ieee Response

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Questions about Ieee Figure Table

What does Ieee Figure Table do?

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.

When should I use Ieee Figure Table?

Ieee Figure Table fits situations like: creating plot readability; table structure; metric reporting; grayscale accessibility.

How do I install Ieee Figure Table in Claude Code?

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.

How do I install Ieee Figure Table in Codex?

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.

Can I use Ieee Figure Table 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 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.

What does Ieee Figure Table need to run?

Going by SKILL.md and its folder, Ieee Figure Table needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Ieee Figure Table access the network?

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.

Is Ieee Figure Table 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Ieee Figure Table use?

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.

How many tokens does Ieee Figure Table use?

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.

What are the alternatives to Ieee Figure Table?

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.

Who maintains Ieee Figure Table?

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.