Ieee Figure Table
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…
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…
$ npx skills add Tai609/NebulaMat --skill nature-figure -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Tai609/NebulaMat nature-figure --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/Tai609/NebulaMat.git skills-src && mkdir -p .claude/skills && cp -r skills-src/runtime/skills-bundle/nature-figure .claude/skills/nature-figure && 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 "nature-figure" agent skill from https://github.com/Tai609/NebulaMat/tree/main/runtime/skills-bundle/nature-figure into .claude/skills/nature-figure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-figure", 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/Tai609/NebulaMat/tree/main/runtime/skills-bundle/nature-figureType 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 Tai609/NebulaMat --skill nature-figure -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Tai609/NebulaMat nature-figure --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Tai609/NebulaMat.git skills-src && mkdir -p .agents/skills && cp -r skills-src/runtime/skills-bundle/nature-figure .agents/skills/nature-figure && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "nature-figure" agent skill from https://github.com/Tai609/NebulaMat/tree/main/runtime/skills-bundle/nature-figure into .agents/skills/nature-figure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-figure", 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 Tai609/NebulaMat --skill nature-figure -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Tai609/NebulaMat nature-figure --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Tai609/NebulaMat.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/runtime/skills-bundle/nature-figure .cursor/skills/nature-figure && 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 "nature-figure" agent skill from https://github.com/Tai609/NebulaMat/tree/main/runtime/skills-bundle/nature-figure into .cursor/skills/nature-figure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-figure", 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/Tai609/NebulaMat.git --path runtime/skills-bundle/nature-figure--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 Tai609/NebulaMat --skill nature-figure -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Tai609/NebulaMat nature-figure --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Tai609/NebulaMat.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/runtime/skills-bundle/nature-figure .gemini/skills/nature-figure && 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 "nature-figure" agent skill from https://github.com/Tai609/NebulaMat/tree/main/runtime/skills-bundle/nature-figure into .gemini/skills/nature-figure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-figure", 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 Tai609/NebulaMat nature-figureInstalls 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 Tai609/NebulaMat --skill nature-figure -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Tai609/NebulaMat.git skills-src && mkdir -p .github/skills && cp -r skills-src/runtime/skills-bundle/nature-figure .github/skills/nature-figure && 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 "nature-figure" agent skill from https://github.com/Tai609/NebulaMat/tree/main/runtime/skills-bundle/nature-figure into .github/skills/nature-figure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-figure", 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 Tai609/NebulaMat --skill nature-figure -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Tai609/NebulaMat nature-figure --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Tai609/NebulaMat.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/runtime/skills-bundle/nature-figure .opencode/skills/nature-figure && 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 "nature-figure" agent skill from https://github.com/Tai609/NebulaMat/tree/main/runtime/skills-bundle/nature-figure into .opencode/skills/nature-figure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-figure", 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.
nature-figureCreate, 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…
Nature Figure is an agent skill from 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 multi-panel plots, figures4papers-style work, and journal-ready SVG/PDF/TIFF outputs. Use for paper or scientific plots, manuscript data visualization, 论文配图、学术写作配图、科研绘图、科研作图、画图、作图、出图、论文图表、可视化. Define the conclusion, evidence logic, data integrity, template compatibility, export needs, and reviewer risks before…
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 151 other files, including scripts, reference files and assets (for example `README.md`, `README_EN.md` and `agents/openai.yaml`).
It sits in Data & Analytics, covering Data visualization and Model routing and gateways. It works with OpenRouter, Python, Adobe Illustrator and Figma. The repository describes itself as: NebulaMat scientific materials research workbench.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit c906ed5. 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 1 file in scripts/, 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.
Nature Figure loads about 1.9k tokens when it runs, and up to ~33k if it reads all its reference files. Until then it costs about 252 tokens; SKILL.md has 831 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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 831 words (~1,858 tokens).
“This skill is split into two layers:”
SKILL.md and 147 other files (scripts, references, assets) in runtime/skills-bundle/nature-figure of Tai609/NebulaMat.
Open the folder on GitHubat commit c906ed5
Nature Figure 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 |
|---|---|---|---|---|---|---|
| Nature Figure this skillTai609/NebulaMat | 100 | — | ~1.9k | Automated safety check: Pass | Custom licence | |
| Ieee Figure TableCloudWave818/ieee-skills | 359 | — | ~1k | Automated safety check: Pass | MIT | |
| Nature FigureCitrus-bit/Anaxa | 120 | 2 repos | ~2.7k | Automated safety check: Pass | MIT | |
| Nature FigureNeuroAIHub/BrainPilot | 1.1k | 1 repos | ~1.3k | Automated safety check: Pass | AGPL-3.0 | |
| CJK Font Setup for Plotsxjtulyc/MedgeClaw | 617 | 1 repos | ~1.3k | Automated safety check: Pass | None | |
| Release Evidence WorkflowAli-Marandi/ClimateDataAnalyzer | 107 | — | ~1.6k | Automated safety check: Pass | MIT |
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…
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.
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.
Ali-Marandi/ClimateDataAnalyzer
Build an auditable release-evidence workflow for a desktop or packaged application.
MrLee2R/Intelligrapher
科研绘图智能助手。当用户需要科研绘图、数据可视化、配色建议、期刊风格调整、生成 matplotlib 或 seaborn 绘图代码、或询问某专业领域图表规范时触发。支持多领域与顶刊审美,输出可直接运行的 Python 脚本。
Tai609/NebulaMat
Read and transcribe the text visible inside an image file (PNG/JPG/JPEG/WebP/BMP/GIF) using the built-in Windows Media.Ocr OCR engine, with NO external credential or network required.
Tai609/NebulaMat
Manage a stateful, run-directory-based proof project with Codex: continuation across runs, run-local source bookkeeping, manual GPT Pro handoff packages when a local attempt stalls, and an optional…
Tai609/NebulaMat
Build provenance-controlled facet-specific electrochemical adsorption model cohorts from MatterGen candidates after MatterSim relaxation, including slab terminations, adsorption sites and…
Tai609/NebulaMat
Generate auditable candidate crystal structures with the project's pinned MatterGen runtime, including request construction, model/conditioning selection, GPU-cost bounds, workspace-safe output…
Tai609/NebulaMat
Run governed MatterSim-v1.0.0-5M energy, force, stress, and optional ASE FIRE relaxation for workspace-local standardized structures.
Tai609/NebulaMat
Multi-source literature search, citation verification, strict independent other-citation audits, article-level citation metric tables, influential citer profiling with citation-context extraction…
Categories
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…. Nature Figure is an agent skill from 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 multi-panel plots, figures4papers-style work, and journal-ready SVG/PDF/TIFF outputs.
Nature Figure fits situations like: scientific plots; manuscript data visualization; 论文配图、学术写作配图、科研绘图、科研作图、画图、作图、出图、论文图表、可视化; interactive dashboards.
Run `npx skills add Tai609/NebulaMat --skill nature-figure -a claude-code`. Or copy the skill folder (runtime/skills-bundle/nature-figure in Tai609/NebulaMat) into .claude/skills/nature-figure in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Tai609/NebulaMat --skill nature-figure -a codex`. Or copy the skill folder (runtime/skills-bundle/nature-figure in Tai609/NebulaMat) into .agents/skills/nature-figure 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 Tai609/NebulaMat --skill nature-figure -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nature-figure, .gemini/skills/nature-figure, .github/skills/nature-figure and .opencode/skills/nature-figure in your project.
SKILL.md names no scripts, command-line tools or credentials: Nature Figure is instructions for the agent only. 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.
Nature Figure has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 1.9k tokens (SKILL.md is roughly 7.4k 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 31k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Nature Figure: Ieee Figure Table (CloudWave818/ieee-skills, 359 stars), Nature Figure (Citrus-bit/Anaxa, 120 stars), Nature Figure (NeuroAIHub/BrainPilot, 1.1k stars) and CJK Font Setup for Plots (xjtulyc/MedgeClaw, 617 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Tai609 (a GitHub user) maintains it in Tai609/NebulaMat, which has 100 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on September 6, 2026.
Source: Tai609/NebulaMat on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.