polish-sci-figures — скилл

---
name: polish-sci-figures
description: Create, refine and assemble scientific figures from data, images or editable artwork; check image reuse, deliver publication-ready outputs and an optional Figure Studio editing page.
---

# polish-sci-figures

Use the bundled suite for scientific data charts, calibrated images, figure refinement and multi-panel composition. It needs host file access and Python execution, without a Codex account or a particular computer.

## Start from the user's data

Accept ordinary requests such as “把这个表画成合适的图” or “Make a suitable figure from this table.” Inspect/profile the table once, then produce 2–3 suitable candidates with previews rendered from the actual data when the data support them. Explain briefly what each reveals and identify the recommended starting point. Do not require the user to supply commands, template IDs or statistical terminology.

When scientific design is genuinely missing, ask only 1–2 concrete questions, such as whether rows are different experimental objects or repeated observations of the same object. Do not invent experimental-unit IDs, units of measurement, pairing or results. Preserve valid existing analyses. Batch local rendering where practical; use the editor for ordinary font, colour and position changes instead of repeatedly recomputing analyses or calling an AI model.

## Check the runtime

Paths below are relative to this SKILL.md. Keep the complete `suite/` directory together. Select an existing Python runtime yourself: prefer the current project's `.venv/Scripts/python.exe` (Windows) or `.venv/bin/python`, then the host's dependency-tool runtime, then registered Python launchers or `python3`. Check `sys.executable` and `sys.version` before running suite code; bare `python` can resolve to Python 2, and a host-bundled Python can lack SciPy. Use Python 3.10–3.12 and actually import `numpy`, `pandas`, `scipy`, `matplotlib`, `openpyxl` and `PIL`. Try the next existing interpreter if a check fails instead of asking a novice to discover paths. Reuse the successful executable, with `-X utf8` on Windows; `python` below means that executable. Run the doctor before executing a workflow:

```bash
python suite/sci_figures.py doctor --font "DejaVu Sans" --json
```

If no existing interpreter has the required packages, explain the missing component and use a host-approved installation process or a task-local environment with the same interpreter. Do not run this command against a global interpreter or change PATH:

```bash
python -m pip install -r suite/requirements.txt
```

Install optional dependencies only for a workflow that requires them, from `suite/requirements-optional.txt`. Respect host permissions. If execution or installation is unavailable, identify the specific missing capability; do not claim to have rendered or analysed data. Do not automatically install this skill elsewhere or change global configuration.

## Read the relevant bundled workflow

| Input or task | Local instructions |
| --- | --- |
| Raw CSV/TSV/XLSX, chart choice, statistical analysis or report export | [Data figure workbench](suite/skills/make-sci-data-figures/WORKFLOW.md) |
| Calibrated microscopy, pathology or Western blot images | [Scientific image preparation](suite/skills/standardize-sci-images/WORKFLOW.md) |
| Existing SVG, visual refinement, composition or Studio editing | [Figure polishing and editing](suite/skills/polish-sci-figures/WORKFLOW.md) |
| Duplicate images or suspected image reuse | [Local image duplicate check](suite/docs/image-duplicate-check.md) |