Exploratory Data Analysis
spacering-net/codeg
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.
Assemble 6 sub-figures (A–F) into a high-resolution composite figure with consistent labels, padding, and publication-ready DPI.
Install Multi Panel Figure Assembler
$ npx skills add aipoch/medical-research-skills --skill multi-panel-figure-assembler -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aipoch/medical-research-skills multi-panel-figure-assembler --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/aipoch/medical-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/scientific-skills/Other/multi-panel-figure-assembler .claude/skills/multi-panel-figure-assembler && 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 "multi-panel-figure-assembler" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Other/multi-panel-figure-assembler into .claude/skills/multi-panel-figure-assembler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-panel-figure-assembler", 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/aipoch/medical-research-skills/tree/main/scientific-skills/Other/multi-panel-figure-assemblerType 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 aipoch/medical-research-skills --skill multi-panel-figure-assembler -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aipoch/medical-research-skills multi-panel-figure-assembler --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/scientific-skills/Other/multi-panel-figure-assembler .agents/skills/multi-panel-figure-assembler && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "multi-panel-figure-assembler" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Other/multi-panel-figure-assembler into .agents/skills/multi-panel-figure-assembler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-panel-figure-assembler", 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 aipoch/medical-research-skills --skill multi-panel-figure-assembler -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aipoch/medical-research-skills multi-panel-figure-assembler --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/scientific-skills/Other/multi-panel-figure-assembler .cursor/skills/multi-panel-figure-assembler && 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 "multi-panel-figure-assembler" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Other/multi-panel-figure-assembler into .cursor/skills/multi-panel-figure-assembler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-panel-figure-assembler", 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/aipoch/medical-research-skills.git --path scientific-skills/Other/multi-panel-figure-assembler--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 aipoch/medical-research-skills --skill multi-panel-figure-assembler -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aipoch/medical-research-skills multi-panel-figure-assembler --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/scientific-skills/Other/multi-panel-figure-assembler .gemini/skills/multi-panel-figure-assembler && 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 "multi-panel-figure-assembler" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Other/multi-panel-figure-assembler into .gemini/skills/multi-panel-figure-assembler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-panel-figure-assembler", 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 aipoch/medical-research-skills multi-panel-figure-assemblerInstalls 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 aipoch/medical-research-skills --skill multi-panel-figure-assembler -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/scientific-skills/Other/multi-panel-figure-assembler .github/skills/multi-panel-figure-assembler && 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 "multi-panel-figure-assembler" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Other/multi-panel-figure-assembler into .github/skills/multi-panel-figure-assembler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-panel-figure-assembler", 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 aipoch/medical-research-skills --skill multi-panel-figure-assembler -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aipoch/medical-research-skills multi-panel-figure-assembler --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/scientific-skills/Other/multi-panel-figure-assembler .opencode/skills/multi-panel-figure-assembler && 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 "multi-panel-figure-assembler" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Other/multi-panel-figure-assembler into .opencode/skills/multi-panel-figure-assembler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-panel-figure-assembler", 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
multi-panel-figure-assembler- GitHub stars
- 2k
- Token cost
- ~1.5k tokens
- SKILL.md length
- 632 words
- Files
- 6 (incl. scripts)
- Skills in repo
- 567
- Repo updated
- First seen
- Licence
- MIT
At a glance
Assemble 6 sub-figures (A–F) into a high-resolution composite figure with consistent labels, padding, and publication-ready DPI.
- Works in 5 steps: Validate input — confirm scope and that… → Confirm the user objective, required… → Use the packaged script path or the… → …
- Data & Analytics work in your project
- SKILL.md covers Input Validation, When to Use, Workflow and Usage, plus 8 more sections
- Runs Python scripts from its folder; calls python and pip
What it does
Multi Panel Figure Assembler is an agent skill from aipoch/medical-research-skills. Assemble 6 sub-figures (A–F) into a high-resolution composite figure with consistent labels, padding, and publication-ready DPI.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts (for example `multi-panel-figure-assembler_audit_result_v4.json`, `scripts/__init__.py` and `scripts/example.py`).
It sits in Data & Analytics. The repository describes itself as: Hundreds of agent skills for medical research, including protocol design, data analysis, evidence insights, and academic writing. The licence is MIT.
When your agent uses it
- Data & Analytics work in your project
Example prompts
- “/multi-panel-figure-assembler”
Requirements
- Python 3
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Validate input — confirm scope and that exactly 6 panels are provided before any processing. Do not generate any output before this check.
- Confirm the user objective, required inputs, and non-negotiable constraints.
- Use the packaged script path or the documented reasoning path with only the inputs that are actually available.
- Return a structured result that separates assumptions, deliverables, risks, and unresolved items.
- If execution fails or inputs are incomplete, switch to the fallback path and state exactly what blocked full completion.
What it can do on your machine
Read from SKILL.md and the folder at commit 686e09d. 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 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonpip
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
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
Multi Panel Figure Assembler loads about 1.5k tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 632 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); the scripts in this folder are not scanned.
SKILL.md
The full file from aipoch/medical-research-skills at commit 686e09d, republished under its MIT licence (© aipoch). 632 words, ~1,502 tokens.
Download SKILL.mdSave it as
.claude/skills/multi-panel-figure-assembler/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.- name
- multi-panel-figure-assembler
- description
- Assemble 6 sub-figures (A–F) into a high-resolution composite figure with consistent labels, padding, and publication-ready DPI.
- license
- MIT
- author
- AIPOCH
Multi-Panel Figure Assembler
Assemble 6 sub-figures (A–F) into a high-resolution composite figure with consistent styling, labels, and publication-ready output.
Input Validation
This skill accepts: exactly 6 image files (panels A–F) in supported formats, plus an output path, for assembly into a composite figure.
If the request does not involve assembling exactly 6 image panels into a composite figure — for example, asking to generate plots from data, edit image content, or assemble a different number of panels — do not proceed. Instead respond:
"multi-panel-figure-assembler is designed to assemble exactly 6 sub-figures (A–F) into a composite image. Your request appears to be outside this scope. Please provide 6 image files and an output path, or use a more appropriate tool for your task. For plot generation from data, consider matplotlib, seaborn, or R ggplot2."
Do not attempt any data processing or partial analysis before emitting this refusal. Validate scope first — this is the absolute first action before any other processing.
When to Use
- Combining individual plot panels into a single composite figure for publication
- Standardizing label fonts, padding, and DPI across a figure set
- Producing 2×3 or 3×2 grid layouts from existing image files
- Automating figure assembly to ensure reproducibility
Note: This skill is fixed to exactly 6 panels (A–F labeling convention). For 4-panel (2×2) or 9-panel (3×3) layouts, a future --panels parameter may be added.
Workflow
- Validate input — confirm scope and that exactly 6 panels are provided before any processing. Do not generate any output before this check.
- Confirm the user objective, required inputs, and non-negotiable constraints.
- Use the packaged script path or the documented reasoning path with only the inputs that are actually available.
- Return a structured result that separates assumptions, deliverables, risks, and unresolved items.
- If execution fails or inputs are incomplete, switch to the fallback path and state exactly what blocked full completion.
Usage
# Basic 2×3 layout
python scripts/main.py --input A.png B.png C.png D.png E.png F.png --output figure.png
# 3×2 layout at 600 DPI
python scripts/main.py --input A.png B.png C.png D.png E.png F.png --output figure.png --layout 3x2 --dpi 600
# Custom label styling
python scripts/main.py --input A.png B.png C.png D.png E.png F.png --output figure.png \
--label-size 32 --label-position topright --padding 20 --border 4Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
--input / -i | 6 paths | Required | Input image paths for panels A–F |
--output / -o | path | Required | Output composite file path |
--layout / -l | enum | 2x3 | Grid layout: 2x3 or 3x2 |
--dpi / -d | int | 300 | Output DPI |
--label-font | str | Arial | Font family for panel labels |
--label-size | int | 24 | Font size for panel labels |
--label-position | str | topleft | Label position: topleft, topright, bottomleft, bottomright |
--padding / -p | int | 10 | Padding between panels (pixels) |
--border / -b | int | 2 | Border width around each panel (pixels) |
--bg-color | str | white | Background color (white/black/hex) |
--label-color | str | black | Label text color |
Show full SKILL.md (226 more words)Show less
Supported Formats
- Input: PNG, JPG, JPEG, BMP, TIFF, GIF
- Output: PNG (recommended), JPG, TIFF
Quick Check
python -m py_compile scripts/main.py
python scripts/main.py --help
python -c "import PIL; print('Pillow OK')"Error Handling
- If fewer or more than 6 input images are provided, state the count mismatch and stop.
- If any input file path contains
../or points outside the workspace, reject with a path traversal warning. - If the task goes outside the documented scope, stop instead of guessing or silently widening the assignment.
- If
scripts/main.pyfails (e.g., returncode=2 from missing required args), report the exact error and provide the correct command syntax. - If PIL/Pillow is not installed, print:
pip install Pillow numpyand exit with a non-zero code. - Do not fabricate files, citations, or execution outcomes.
Fallback Template
When execution fails or inputs are incomplete, respond with this structure:
FALLBACK REPORT
───────────────────────────────────────
Objective : [restate the goal]
Blocked by : [exact missing input or error — e.g., only 4 of 6 panels provided]
Partial result : [what can be completed — e.g., layout plan, parameter defaults]
Assumptions : [layout, DPI, label style assumed]
Constraints : [format requirements, DPI minimum]
Risks : [aspect ratio mismatch, font availability]
Unresolved : [what still needs user input]
Next step : [minimum action needed to unblock]
───────────────────────────────────────Response Template
Use the following fixed structure for non-trivial requests:
- Objective
- Inputs Received
- Assumptions
- Workflow
- Deliverable
- Risks and Limits
- Next Checks
If the request is simple, compress the structure but keep assumptions and limits explicit when they affect correctness.
Notes
- Input images are automatically resized to match the largest dimension while maintaining aspect ratio
- For best results, use input images with similar aspect ratios
- Label fonts require the font to be available on the system; Arial falls back to DejaVu Sans if unavailable
- PNG output preserves transparency if any input images have alpha channels
Prerequisites
pip install Pillow numpy© aipoch, 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 5 other files (scripts) in scientific-skills/Other/multi-panel-figure-assembler of aipoch/medical-research-skills.
- SKILL.md
- multi-panel-figure-assembler_audit_result_v4.json
- requirements.txt
- scripts/__init__.py
- scripts/example.py
- scripts/main.py
Open the folder on GitHubat commit 686e09d
Compare with similar skills
Multi Panel Figure Assembler 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 |
|---|---|---|---|---|---|---|
| Multi Panel Figure Assembler this skillaipoch/medical-research-skills | 2k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Exploratory Data Analysisspacering-net/codeg | 3.8k | 15 repos | ~3.6k | Automated safety check: Pass | MIT | |
| MatplotlibzLanqing/codex-claude-academic-skills | 4.6k | 17 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Scikit LearnzLanqing/codex-claude-academic-skills | 4.6k | 17 repos | ~3.9k | Automated safety check: Pass | BSD-3-Clause | |
| Chart Visualizationbytedance/deer-flow | 83k | 2 repos | ~840 | Automated safety check: Pass | MIT | |
| TimesFM Forecastinggoogle-research/timesfm | 34k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 |
Similar skills
Matplotlib
zLanqing/codex-claude-academic-skills
Low-level plotting library for full customization. An agent skill from zLanqing/codex-claude-academic-skills.
Scikit Learn
zLanqing/codex-claude-academic-skills
Machine learning in Python with scikit-learn. An agent skill from zLanqing/codex-claude-academic-skills.
Chart Visualization
bytedance/deer-flow
Picks a suitable chart type from 26 options for your data, maps the data to that chart's parameters and generates a chart image through a JavaScript script.
TimesFM Forecasting
google-research/timesfm
Forecasts any univariate time series zero-shot with Google's TimesFM model, returning point forecasts and calibrated prediction intervals without training.
- Official
Jupyter Notebook
microsoft/ai-agents-for-beginners
A skill your agent uses when the user asks to create, scaffold, or edit Jupyter notebooks (.ipynb) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script…
More from aipoch/medical-research-skills
All 567 skills in this repoAcademic Poster Generator
aipoch/medical-research-skills
Complete workflow for generating academic research posters from PDF literature; use when you need to extract paper content from PDFs and produce a LaTeX-based poster…
Diagnostic Study Quality Assessment Quadas
aipoch/medical-research-skills
Analyzes clinical diagnostic accuracy studies for bias using the QUADAS-2 tool.
Exploratory Data Analysis
aipoch/medical-research-skills
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.
Iso Certification
aipoch/medical-research-skills
A toolkit for preparing ISO 13485:2016 certification documentation for medical device QMS.
Journal Skills
aipoch/medical-research-skills
Recommends target journals for manuscript submission by analyzing the paper topic/abstract and the journal distribution of similar PubMed literature; use when users ask for journal…
Latex Posters
aipoch/medical-research-skills
Creates academic-poster writing packages for LaTeX using beamerposter, tikzposter, or baposter.
Related
Categories
Questions about Multi Panel Figure Assembler
What does Multi Panel Figure Assembler do?
Assemble 6 sub-figures (A–F) into a high-resolution composite figure with consistent labels, padding, and publication-ready DPI. Multi Panel Figure Assembler is an agent skill from aipoch/medical-research-skills. Assemble 6 sub-figures (A–F) into a high-resolution composite figure with consistent labels, padding, and publication-ready DPI.
When should I use Multi Panel Figure Assembler?
Multi Panel Figure Assembler fits situations like: data & Analytics work in your project.
How do I install Multi Panel Figure Assembler in Claude Code?
Run `npx skills add aipoch/medical-research-skills --skill multi-panel-figure-assembler -a claude-code`. Or copy the skill folder (scientific-skills/Other/multi-panel-figure-assembler in aipoch/medical-research-skills) into .claude/skills/multi-panel-figure-assembler in your project. Claude Code loads it when a task matches its description.
How do I install Multi Panel Figure Assembler in Codex?
Run `npx skills add aipoch/medical-research-skills --skill multi-panel-figure-assembler -a codex`. Or copy the skill folder (scientific-skills/Other/multi-panel-figure-assembler in aipoch/medical-research-skills) into .agents/skills/multi-panel-figure-assembler in your project. Codex loads it when a task matches its description.
Can I use Multi Panel Figure Assembler 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 aipoch/medical-research-skills --skill multi-panel-figure-assembler -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/multi-panel-figure-assembler, .gemini/skills/multi-panel-figure-assembler, .github/skills/multi-panel-figure-assembler and .opencode/skills/multi-panel-figure-assembler in your project.
What does Multi Panel Figure Assembler need to run?
Going by SKILL.md and its folder, Multi Panel Figure Assembler needs Python for the scripts in its folder and the command-line tools its instructions call (python and pip). Our summary lists: Python 3.
Does Multi Panel Figure Assembler access the network?
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Multi Panel Figure Assembler 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 Multi Panel Figure Assembler use?
Multi Panel Figure Assembler is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Multi Panel Figure Assembler use?
About 1.5k tokens (SKILL.md is roughly 6k 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 Multi Panel Figure Assembler?
Skills that share tags, products or a category with Multi Panel Figure Assembler: Exploratory Data Analysis (spacering-net/codeg, 3.8k stars), Matplotlib (zLanqing/codex-claude-academic-skills, 4.6k stars), Scikit Learn (zLanqing/codex-claude-academic-skills, 4.6k stars) and Chart Visualization (bytedance/deer-flow, 83k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Multi Panel Figure Assembler?
aipoch (a GitHub organization) maintains it in aipoch/medical-research-skills, which has 1,973 GitHub stars. The repository holds 567 skills in this directory. The repository was last updated on September 17, 2026.
Source: aipoch/medical-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.