Scientific Critical Thinking
weapp-tailwindcss/weapp-tailwindcss
Evaluate research rigor. An agent skill from weapp-tailwindcss/weapp-tailwindcss.
Compose or improve a publication-grade multi-panel scientific figure from a claim, concrete data paths, or an existing image.
$ npx skills add xuzhougeng/wisp-science --skill figure-composer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xuzhougeng/wisp-science figure-composer --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/xuzhougeng/wisp-science.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/figure-composer .claude/skills/figure-composer && 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 "figure-composer" agent skill from https://github.com/xuzhougeng/wisp-science/tree/main/skills/figure-composer into .claude/skills/figure-composer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figure-composer", 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/xuzhougeng/wisp-science/tree/main/skills/figure-composerType 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 xuzhougeng/wisp-science --skill figure-composer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xuzhougeng/wisp-science figure-composer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xuzhougeng/wisp-science.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/figure-composer .agents/skills/figure-composer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "figure-composer" agent skill from https://github.com/xuzhougeng/wisp-science/tree/main/skills/figure-composer into .agents/skills/figure-composer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figure-composer", 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 xuzhougeng/wisp-science --skill figure-composer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xuzhougeng/wisp-science figure-composer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xuzhougeng/wisp-science.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/figure-composer .cursor/skills/figure-composer && 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 "figure-composer" agent skill from https://github.com/xuzhougeng/wisp-science/tree/main/skills/figure-composer into .cursor/skills/figure-composer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figure-composer", 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/xuzhougeng/wisp-science.git --path skills/figure-composer--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 xuzhougeng/wisp-science --skill figure-composer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xuzhougeng/wisp-science figure-composer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xuzhougeng/wisp-science.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/figure-composer .gemini/skills/figure-composer && 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 "figure-composer" agent skill from https://github.com/xuzhougeng/wisp-science/tree/main/skills/figure-composer into .gemini/skills/figure-composer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figure-composer", 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 xuzhougeng/wisp-science figure-composerInstalls 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 xuzhougeng/wisp-science --skill figure-composer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/xuzhougeng/wisp-science.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/figure-composer .github/skills/figure-composer && 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 "figure-composer" agent skill from https://github.com/xuzhougeng/wisp-science/tree/main/skills/figure-composer into .github/skills/figure-composer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figure-composer", 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 xuzhougeng/wisp-science --skill figure-composer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install xuzhougeng/wisp-science figure-composer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xuzhougeng/wisp-science.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/figure-composer .opencode/skills/figure-composer && 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 "figure-composer" agent skill from https://github.com/xuzhougeng/wisp-science/tree/main/skills/figure-composer into .opencode/skills/figure-composer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figure-composer", 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.
figure-composerCompose or improve a publication-grade multi-panel scientific figure from a claim, concrete data paths, or an existing image.
Figure Composer is an agent skill from xuzhougeng/wisp-science. Compose or improve a publication-grade multi-panel scientific figure from a claim, concrete data paths, or an existing image. Use for figure outlining, parallel panel rendering, exact-grid composition, visual inspection, and adversarial figure review. Use figure-style for one standalone plot and paper-narrative for whole-paper figure ordering.
Its SKILL.md is about 970 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `runtime.py`).
It sits in Research & Science, covering Data visualization. The repository describes itself as: Open-source, local-first desktop AI research workbench for scientific computing with Python/R, MCP bioinformatics tools, SSH/WSL/GPU runtimes, and OpenAI/Anthropic models. The licence is Apache-2.0.
8 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 2ba143b. 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 script files (Python), 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.
Figure Composer loads about 966 tokens when it runs. Until then it costs about 90 tokens; SKILL.md has 361 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.
The full file from xuzhougeng/wisp-science at commit 2ba143b, republished under its Apache-2.0 licence (© xuzhougeng). 361 words, ~966 tokens.
.claude/skills/figure-composer/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Load figure-style with this skill. The sidecar provides pure geometry,
composition, task-building, and review-schema helpers. It does not call models,
delegate Agents, resolve artifacts, or inspect images from Python.
Require a one-sentence claim, target width in millimetres, and concrete
project-relative or absolute data paths. Never use artifact ids as paths. For an
existing figure, inspect the real image with view_image and write the outline
yourself; pixels cannot reveal the source data path.
figure_outline_schema(). Put real paths in
data_path; use null for schematics.a the conceptual hook and panel b the primary evidence. Use a
12-column grid and one row per sub-claim.panel_task(...).delegate_tasks is advertised, submit the independent panel tasks as one
batch. Grant each task the minimum advertised capabilities needed, normally
visualization plus project_read. Require a concrete PNG filename in each
output schema. If delegation is unavailable, render the panels sequentially
with python.compose_figure(...). Do not pass placeholder
markers to the composer.compose_crops(...) boxes with figure-style's
save_panel_crops(composite_path, compose_crops(outline)), then call
view_image on the composite and every crop. Fix seams, clipped labels,
aliases, empty space, and misplaced panel letters before review. The crops
are inspection debris, not products: they live in .cache/figure-style/,
never beside the composite or under the output figures directory, and get
deleted once the composite passes.composite_review_task(...). Delegate it
with image_inspection, project_read, and reasoning when those capability
ids are advertised; otherwise perform the review in the current Agent.{
"claim": "Treatment restores the disease-associated trajectory.",
"width_mm": 180,
"ncol": 12,
"row_heights_mm": [42, 60],
"panels": [
{
"letter": "a",
"role": "schematic",
"row": 0,
"col": 0,
"colspan": 12,
"chart_family": "study schematic",
"message": "The experiment tests trajectory rescue.",
"data_path": null,
"ask": "Show cohorts, treatment, sampling, and comparison."
},
{
"letter": "b",
"role": "primary",
"row": 1,
"col": 0,
"colspan": 12,
"chart_family": "trajectory plot",
"message": "Treatment moves cells toward the healthy trajectory.",
"data_path": "results/trajectory.csv",
"ask": "Plot disease, treated, and healthy cells with confidence bands."
}
]
}delegate_tasks only as an explicit Wisp tool; never call delegation from
python.view_image only on a concrete local image file.run_in_context only when
a deterministic render or preprocessing job is long enough to require a
persisted Run; Agent delegation itself is not a Run.© xuzhougeng, Apache-2.0. 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 1 other file in skills/figure-composer of xuzhougeng/wisp-science.
Open the folder on GitHubat commit 2ba143b
Figure Composer 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 |
|---|---|---|---|---|---|---|
| Figure Composer this skillxuzhougeng/wisp-science | 1k | — | ~966 | Automated safety check: Pass | Apache-2.0 | |
| Scientific Critical Thinkingweapp-tailwindcss/weapp-tailwindcss | 1.9k | 22 repos | ~5.9k | Automated safety check: Notes | MIT | |
| Nature-Style Scientific FiguresYuan1z0825/nature-skills | 47k | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Scholar Evaluationspacering-net/codeg | 3.9k | 11 repos | ~3.2k | Automated safety check: Pass | MIT | |
| Outline AgentAr9av/PaperOrchestra | 679 | 1 repos | ~1.6k | Automated safety check: Pass | Custom licence | |
| Engineering Figure Agentheyu-233/engineering-figure-agent | 307 | — | ~1.1k | Automated safety check: Pass | MIT |
weapp-tailwindcss/weapp-tailwindcss
Evaluate research rigor. An agent skill from weapp-tailwindcss/weapp-tailwindcss.
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.
spacering-net/codeg
Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and…
Ar9av/PaperOrchestra
Step 1 of the PaperOrchestra pipeline (arXiv:2604.05018). An agent skill from Ar9av/PaperOrchestra.
heyu-233/engineering-figure-agent
A skill your agent uses when the user needs engineering or research-paper figures: system architecture diagrams, algorithm workflows, hardware schematics, benchmark charts, ablation plots, figure…
ChatMol/ChatMol
Generate publication-quality molecular visualization images using PyMOL.
xuzhougeng/wisp-science
A skill your agent uses when designing, reviewing, or implementing single-cell RNA-seq QC in Python or R with a human-in-the-loop, data-driven approach.
xuzhougeng/wisp-science
学术审查 / research-integrity screening of a manuscript's figures and reported numbers.
xuzhougeng/wisp-science
将概念、理论或分析方法类图书蒸馏为证据可追溯、经人工门禁审核且不暴露书名、作者、出版社等来源身份的任务型 Skill 候选。用于新建或恢复图书蒸馏、以本地 Tesseract 扫描 DOCX 全部内嵌图像或 Poppler 渲染的扫描 PDF 全页、建立 source map 与 evidence/claim/relation/capability…
xuzhougeng/wisp-science
Create, update, validate, and evaluate Wisp skills. An agent skill from xuzhougeng/wisp-science.
xuzhougeng/wisp-science
Build, audit, authorize, recover, or finalize dynamic Zotero citations and bibliographies in Microsoft Word DOCX files with a protected-source, digest-bound workflow.
xuzhougeng/wisp-science
Set up and validate a reproducible Python or R environment on a Wisp execution context.
Categories
Compose or improve a publication-grade multi-panel scientific figure from a claim, concrete data paths, or an existing image. Figure Composer is an agent skill from xuzhougeng/wisp-science. Compose or improve a publication-grade multi-panel scientific figure from a claim, concrete data paths, or an existing image.
Figure Composer fits situations like: figure outlining; parallel panel rendering; exact-grid composition; visual inspection.
Run `npx skills add xuzhougeng/wisp-science --skill figure-composer -a claude-code`. Or copy the skill folder (skills/figure-composer in xuzhougeng/wisp-science) into .claude/skills/figure-composer in your project. Claude Code loads it when a task matches its description.
Run `npx skills add xuzhougeng/wisp-science --skill figure-composer -a codex`. Or copy the skill folder (skills/figure-composer in xuzhougeng/wisp-science) into .agents/skills/figure-composer 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 xuzhougeng/wisp-science --skill figure-composer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/figure-composer, .gemini/skills/figure-composer, .github/skills/figure-composer and .opencode/skills/figure-composer in your project.
Going by SKILL.md and its folder, Figure Composer 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. Review the folder before installing.
Figure Composer is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 966 tokens (SKILL.md is roughly 3.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Figure Composer: Scientific Critical Thinking (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars), Nature-Style Scientific Figures (Yuan1z0825/nature-skills, 47k stars), Scholar Evaluation (spacering-net/codeg, 3.9k stars) and Outline Agent (Ar9av/PaperOrchestra, 679 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
xuzhougeng (a GitHub user) maintains it in xuzhougeng/wisp-science, which has 1,026 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on October 10, 2026.
Source: xuzhougeng/wisp-science on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.