Nature-Style Scientific Figures
Yuan1z0825/nature-skills
Creates, revises, audits and exports manuscript-ready scientific figures in Python or R, and routes AI-generated graphical abstracts to a separate workflow.
Generate publication-ready scientific figures for AI/CS research papers.
Install Scientific Figure Generator
$ npx skills add Deepshare-Official/CCF-Figure --skill scientific-figure-generator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Deepshare-Official/CCF-Figure scientific-figure-generator --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
Claude Code skills documentation · loads skills from .claude/skills/
Install the "scientific-figure-generator" agent skill from https://github.com/Deepshare-Official/CCF-Figure/tree/main into .claude/skills/scientific-figure-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scientific-figure-generator", 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.
$ npx skills add Deepshare-Official/CCF-Figure --skill scientific-figure-generator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Deepshare-Official/CCF-Figure scientific-figure-generator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "scientific-figure-generator" agent skill from https://github.com/Deepshare-Official/CCF-Figure/tree/main into .agents/skills/scientific-figure-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scientific-figure-generator", 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 Deepshare-Official/CCF-Figure --skill scientific-figure-generator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Deepshare-Official/CCF-Figure scientific-figure-generator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "scientific-figure-generator" agent skill from https://github.com/Deepshare-Official/CCF-Figure/tree/main into .cursor/skills/scientific-figure-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scientific-figure-generator", 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.
$ npx skills add Deepshare-Official/CCF-Figure --skill scientific-figure-generator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Deepshare-Official/CCF-Figure scientific-figure-generator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "scientific-figure-generator" agent skill from https://github.com/Deepshare-Official/CCF-Figure/tree/main into .gemini/skills/scientific-figure-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scientific-figure-generator", 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 Deepshare-Official/CCF-Figure scientific-figure-generatorInstalls 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 Deepshare-Official/CCF-Figure --skill scientific-figure-generator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "scientific-figure-generator" agent skill from https://github.com/Deepshare-Official/CCF-Figure/tree/main into .github/skills/scientific-figure-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scientific-figure-generator", 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 Deepshare-Official/CCF-Figure --skill scientific-figure-generator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Deepshare-Official/CCF-Figure scientific-figure-generator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "scientific-figure-generator" agent skill from https://github.com/Deepshare-Official/CCF-Figure/tree/main into .opencode/skills/scientific-figure-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scientific-figure-generator", 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
scientific-figure-generator- GitHub stars
- 227
- Token cost
- ~1.8k tokens
- SKILL.md length
- 713 words
- Files
- 5
- Skills in repo
- 1
- Repo updated
- First seen
- Licence
- MIT
At a glance
Generate publication-ready scientific figures for AI/CS research papers.
- Works in 6 steps: Input Validation → Paper Type Classification → Diagram Structure Selection → …
- Tasks that involve Data visualization
- SKILL.md covers Role, SOP — Standard Operating…, Quick-Start Template and Visual Specification Summary, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Scientific Figure Generator is an agent skill from Deepshare-Official/CCF-Figure. Generate publication-ready scientific figures for AI/CS research papers. Automatically classifies paper type, selects the optimal diagram structure, and produces figures meeting the visual standards of NeurIPS, ICML, CVPR, Nature Machine Intelligence, and other top venues.
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files (for example `README.md`, `figure-types.md` and `prompt-template.md`).
It sits in Research & Science, covering Data visualization. The repository describes itself as: CCF-Figure —— 为 AI / 计算机科学论文自动生成顶会级科研配图的智能助手。 The licence is MIT.
When your agent uses it
- Tasks that involve Data visualization
Example prompts
- “/scientific-figure-generator”
Workflow steps
6 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 37f46a7. 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
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.
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
Scientific Figure Generator loads about 1.8k tokens when it runs. Until then it costs about 75 tokens; SKILL.md has 713 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.
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 Deepshare-Official/CCF-Figure at commit 37f46a7, republished under its MIT licence (© Deepshare-Official). 713 words, ~1,768 tokens.
Download SKILL.mdSave it as
.claude/skills/scientific-figure-generator/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- scientific-figure-generator
- description
- Generate publication-ready scientific figures for AI/CS research papers. Automatically classifies paper type, selects the optimal diagram structure, and produces figures meeting the visual standards of NeurIPS, ICML, CVPR, Nature Machine Intelligence, and other top venues.
- version
- 2.0
- platforms
- claude, codex
- author
- Deepshare / Deepshare
- source
- https://mp.weixin.qq.com/s/qPqfvBILEu5ascyZe6guAw
Scientific Figure Generator — Skill Instructions
Role
You are an expert scientific illustrator specializing in computer science and AI research. Your mission is not to simply beautify paper content, but to transform complex scientific text into logically accurate, structurally clear, information-dense, low-noise figures that meet the visual standards of top-tier conferences and journals.
You must first understand the paper's research type, core problem, method mechanism, experimental logic, and key contributions — then decide on the most appropriate diagram structure. You are prohibited from mechanically applying the "left-input → center-model → right-output" three-column template unless the paper genuinely fits that structure.
SOP — Standard Operating Procedure
Step 1 · Input Validation
Ask the user to provide one or more of the following (the more the better):
- Paper title
- Abstract
- Method / approach section (key paragraphs)
- Core contributions (bullet points)
- Any specific visual requirement (e.g., "focus on the feedback loop", "show the three modules side-by-side")
If the user provides only an abstract, warn them:
"Abstracts describe results, not structure. For a better figure, please also paste the method section or describe the key modules and their relationships."
Step 2 · Paper Type Classification
Classify the paper into one primary type (and optionally a secondary type):
| ID | Type | Trigger Keywords / Signals |
|---|---|---|
| A | Method Paper | proposes a new model/framework/algorithm/loss/training strategy |
| B | Mechanism / Analysis Paper | ablation study, module analysis, probing, attention visualization |
| C | Benchmark / Evaluation Paper | new dataset, evaluation suite, leaderboard, task taxonomy |
| D | Scaling Law / Empirical Analysis | scaling curves, compute budget, performance trend, law fitting |
| E | Robot / Embodied AI Paper | perception-action loop, manipulation, navigation, sim-to-real |
| F | Interdisciplinary / AI for X | medical AI, AI for science, smart manufacturing, cybersecurity |
| G | Survey / Position Paper | literature taxonomy, research roadmap, comparison matrix |
See
references/figure-types.mdfor the full type × structure mapping table.
Step 3 · Diagram Structure Selection
Based on the paper type, automatically select the most appropriate diagram structure:
| Paper Type | Recommended Structure(s) |
|---|---|
| A — Method | Method overview, Model architecture, Layered pipeline |
| B — Mechanism | Local zoom-in diagram, Comparison diagram, Ablation matrix |
| C — Benchmark | Evaluation flow, Multi-panel comparison, Data construction pipeline |
| D — Scaling | Experimental matrix, Trend curves panel, Variable-relationship diagram |
| E — Robot/Embodied | Closed-loop feedback diagram (perception → language → planning → action → environment) |
| F — Interdisciplinary | Cross-domain application framework (domain data + AI model + task + metrics) |
| G — Survey | Taxonomy tree, Timeline, Comparison matrix |
Step 4 · Generate the Full Image Prompt
Assemble the final prompt by combining:
- The base visual specification (from
references/prompt-template.md, Section A) - The paper-type-specific instruction (from
references/prompt-template.md, Section B) - The user's paper content (pasted verbatim at the end)
Then pass this assembled prompt to the image generation model.
For Claude: Use the built-in image generation capability directly.
For Codex: Output the assembled prompt and instruct the user to paste it into
ChatGPT (GPT Image 2 / DALL·E 3) or another image generation API.
Show full SKILL.md (260 more words)Show less
Step 5 · Self-Check Before Delivery
Before presenting the result, verify against the Five Common Failure Modes
(see references/figure-types.md, Section 3):
- Did I use only the abstract? (if yes → request method details)
- Did I request vague style words like "high-end" or "sci-fi"? (if yes → replace with specific venue style)
- Did I tell the model the paper type? (if no → re-run Step 2)
- Is the information density excessive? (if yes → trim to one clear visual storyline)
- Is there excessive decoration? (if yes → enforce flat vector rules)
Step 6 · Iteration Protocol
If the user requests revisions:
- Ask which specific element to change (structure, color, text, emphasis)
- Diagnose whether the change is structural (re-run Step 3) or cosmetic (tweak prompt)
- Generate a revised prompt and re-run generation
- Maximum 3 revision rounds before suggesting a fundamentally different diagram type
Quick-Start Template
When a user wants to generate a figure immediately, respond with:
Please provide the following for your paper:
1. **Title** (required)
2. **Abstract** (required)
3. **Method section** or key module descriptions (strongly recommended)
4. **Main contributions** (optional but helpful)
5. **Any specific visual preference** (optional — e.g., "emphasize the two-stage pipeline", "use a closed-loop structure")
I will automatically classify your paper type, select the best diagram structure,
and generate a top-conference-quality figure prompt for you.Visual Specification Summary
| Property | Rule |
|---|---|
| Background | Pure white (#FFFFFF) or very light gray (#F5F5F5) |
| Style | 2D flat vector — NO 3D perspective, NO neon gradients, NO decorative textures |
| Color usage | Functional only (encode logic hierarchy, not decoration) |
| Color palette | Max 3 color groups; large areas = low-saturation cool gray / light blue / off-white |
| Accent color | Sparse use of orange, cyan-green, or deep blue for key innovations |
| Typography | Horizontal only; max 2 font sizes; Chinese for labels, English for proper nouns |
| Symbols | Data/input = parallelogram or card stack; Model = rectangle; Decision = diamond; Feedback = closed-loop arrow |
| Target venues | NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, KDD, SIGIR, AAAI, Nature MI, Science Robotics, IEEE TPAMI |
File Structure
scientific-figure-generator/
├── SKILL.md ← this file (main workflow)
├── references/
│ ├── prompt-template.md ← full image generation prompt (copy-paste ready)
│ └── figure-types.md ← 11 diagram types × paper type table + 5 failure modes
└── README.md ← GitHub-ready bilingual documentation© Deepshare-Official, 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 4 other files in the repository root of Deepshare-Official/CCF-Figure.
- SKILL.md
- LICENSE
- README.md
- figure-types.md
- prompt-template.md
Open the folder on GitHubat commit 37f46a7
Compare with similar skills
Scientific Figure Generator 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 |
|---|---|---|---|---|---|---|
| Scientific Figure Generator this skillDeepshare-Official/CCF-Figure | 227 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Nature-Style Scientific FiguresYuan1z0825/nature-skills | 47k | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Engineering Figure Agentheyu-233/engineering-figure-agent | 307 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Scanpy Single-Cell Analysisdavila7/claude-code-templates | 33k | 15 repos | ~2.8k | Automated safety check: Pass | MIT | |
| deepTools NGS Toolkitdavila7/claude-code-templates | 33k | 12 repos | ~4.5k | Automated safety check: Pass | MIT | |
| Research Agentaws-samples/sample-strands-agent-with-agentcore | 195 | — | ~1.1k | Automated safety check: Pass | MIT |
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Categories
Questions about Scientific Figure Generator
What does Scientific Figure Generator do?
Generate publication-ready scientific figures for AI/CS research papers. Scientific Figure Generator is an agent skill from Deepshare-Official/CCF-Figure. Generate publication-ready scientific figures for AI/CS research papers.
When should I use Scientific Figure Generator?
Scientific Figure Generator fits situations like: tasks that involve Data visualization.
How do I install Scientific Figure Generator in Claude Code?
Run `npx skills add Deepshare-Official/CCF-Figure --skill scientific-figure-generator -a claude-code`. Or copy the skill folder (the Deepshare-Official/CCF-Figure repository) into .claude/skills/scientific-figure-generator in your project. Claude Code loads it when a task matches its description.
How do I install Scientific Figure Generator in Codex?
Run `npx skills add Deepshare-Official/CCF-Figure --skill scientific-figure-generator -a codex`. Or copy the skill folder (the Deepshare-Official/CCF-Figure repository) into .agents/skills/scientific-figure-generator in your project. Codex loads it when a task matches its description.
Can I use Scientific Figure Generator 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 Deepshare-Official/CCF-Figure --skill scientific-figure-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scientific-figure-generator, .gemini/skills/scientific-figure-generator, .github/skills/scientific-figure-generator and .opencode/skills/scientific-figure-generator in your project.
What does Scientific Figure Generator need to run?
SKILL.md names no scripts, command-line tools or credentials: Scientific Figure Generator is instructions for the agent only.
Does Scientific Figure Generator 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 Scientific Figure Generator 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 Scientific Figure Generator use?
Scientific Figure Generator is published under the MIT licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Scientific Figure Generator use?
About 1.8k tokens (SKILL.md is roughly 7.1k 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 Scientific Figure Generator?
Skills that share tags, products or a category with Scientific Figure Generator: Nature-Style Scientific Figures (Yuan1z0825/nature-skills, 47k stars), Engineering Figure Agent (heyu-233/engineering-figure-agent, 307 stars), Scanpy Single-Cell Analysis (davila7/claude-code-templates, 33k stars) and deepTools NGS Toolkit (davila7/claude-code-templates, 33k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Scientific Figure Generator?
Deepshare-Official (a GitHub user) maintains it in Deepshare-Official/CCF-Figure, which has 227 GitHub stars. The repository was last updated on June 15, 2026.
Source: Deepshare-Official/CCF-Figure on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.