Agent skill

Imagegenskill

by aipoch in aipoch/medical-research-skills

Generate renderable, scientific-style SVG graphics directly from natural-language requirements (no image models).

MITAuto-check passed

Install Imagegenskill

skills CLI

$ npx skills add aipoch/medical-research-skills --skill imagegenskill -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install aipoch/medical-research-skills imagegenskill --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ 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/imagegenskill .claude/skills/imagegenskill && rm -rf skills-src

Use ~/.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/

Paste into Claude Code

Install the "imagegenskill" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Other/imagegenskill into .claude/skills/imagegenskill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "imagegenskill", 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

$skill-installer install https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Other/imagegenskill

Type 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.

skills CLI

$ npx skills add aipoch/medical-research-skills --skill imagegenskill -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install aipoch/medical-research-skills imagegenskill --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ 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/imagegenskill .agents/skills/imagegenskill && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "imagegenskill" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Other/imagegenskill into .agents/skills/imagegenskill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "imagegenskill", 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.

skills CLI

$ npx skills add aipoch/medical-research-skills --skill imagegenskill -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install aipoch/medical-research-skills imagegenskill --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ 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/imagegenskill .cursor/skills/imagegenskill && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "imagegenskill" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Other/imagegenskill into .cursor/skills/imagegenskill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "imagegenskill", 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

$ gemini skills install https://github.com/aipoch/medical-research-skills.git --path scientific-skills/Other/imagegenskill

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add aipoch/medical-research-skills --skill imagegenskill -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install aipoch/medical-research-skills imagegenskill --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ 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/imagegenskill .gemini/skills/imagegenskill && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "imagegenskill" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Other/imagegenskill into .gemini/skills/imagegenskill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "imagegenskill", 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.

GitHub CLI

$ gh skill install aipoch/medical-research-skills imagegenskill

Installs 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).

skills CLI

$ npx skills add aipoch/medical-research-skills --skill imagegenskill -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ 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/imagegenskill .github/skills/imagegenskill && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "imagegenskill" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Other/imagegenskill into .github/skills/imagegenskill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "imagegenskill", 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.

skills CLI

$ npx skills add aipoch/medical-research-skills --skill imagegenskill -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install aipoch/medical-research-skills imagegenskill --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ 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/imagegenskill .opencode/skills/imagegenskill && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "imagegenskill" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Other/imagegenskill into .opencode/skills/imagegenskill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "imagegenskill", 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: imagegenskill
GitHub stars: 2k
Token cost: ~1.1k tokens
SKILL.md length: 335 words
Files: 8 (incl. scripts, references)
Skills in repo: 567
Repo updated: Sep 17, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Generate renderable, scientific-style SVG graphics directly from natural-language requirements (no image models).

Works in 4 steps: Write requirements to input/brief.txt… → Adjust the configuration section at the… → Run python scripts/svg_gen.py. → …
Users ask for an image/picture/scientific diagram/visualization poster
SKILL.md covers When to Use, Key Features, Dependencies and Example Usage, plus 1 more section
Runs Python scripts from its folder; calls python

What it does

Imagegenskill is an agent skill from aipoch/medical-research-skills. Generate renderable, scientific-style SVG graphics directly from natural-language requirements (no image models). Use when users ask for an image/picture/scientific diagram/visualization poster or explicitly request SVG output for web-embeddable vector graphics.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts and reference files (for example `imagegenskill_audit_result_v1.json`, `references/cli.md` and `references/codex-network.md`).

It works with Python. 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

Users ask for an image/picture/scientific diagram/visualization poster
Explicitly request SVG output for web-embeddable vector graphics

Example prompts

“/imagegenskill”

Requirements

Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

Write requirements to input/brief.txt (UTF-8).
Adjust the configuration section at the top of scripts/svg_gen.py (e.g., STYLE, canvas dimensions, density parameters).
Run python scripts/svg_gen.py.
Open output/svggen/latest.svg to inspect the result.

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 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python
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

Imagegenskill loads about 1.1k tokens when it runs, and up to ~8.5k if it reads all its reference files. Until then it costs about 69 tokens; SKILL.md has 335 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~69
When it runs · the whole SKILL.md, loaded when a task matches: ~1.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~8.5k

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). 335 words, ~1,094 tokens.

Download SKILL.mdSave it as .claude/skills/imagegenskill/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.

name: imagegenskill
description: Generate renderable, scientific-style SVG graphics directly from natural-language requirements (no image models). Use when users ask for an image/picture/scientific diagram/visualization poster or explicitly request SVG output for web-embeddable vector graphics.
license: MIT
author: AIPOCH

Source: https://github.com/aipoch/medical-research-skills

When to Use

You need scientific-looking diagrams/posters (laboratory poster aesthetic) generated from a short natural-language brief.
The user requests SVG output specifically (e.g., “output SVG”, “vector graphic”, “embeddable in a web page”).
You want language-to-image results without using diffusion/LLM image models, prioritizing interpretable structure over photorealism.
You need repeatable, parameter-controlled visuals (seed/palette/structure) for research notes, slides, or documentation.
You want a structured visualization (grids, networks, waveforms, symbol rings) rather than an illustrative drawing.

Key Features

Converts a natural-language brief into a renderable SVG with a scientific, restrained visual style.
Multiple built-in styles via STYLE:
- lab-atlas (default): calm, stable, laboratory map feel
- signal-loom: denser spectral waveforms, stronger texture
- lattice-field: prominent lattice grids, denser nodes
Produces SVG + JSON metadata (e.g., prompt, seed, palette) for traceability.
Writes a convenience preview file: output/svggen/latest.svg.
Tunable density and composition controls (e.g., nodes, noise, bands, rings).

Dependencies

Python 3.8+

Note: No third-party Python packages are specified in the provided documentation. If scripts/svg_gen.py imports external libraries, add them here with exact versions.

Example Usage

bash

# 1) Create the brief (UTF-8)
mkdir -p input
cat > input/brief.txt << 'EOF'
Scientific poster-style SVG: "Graph topology in latent space".
Include a calm lab-atlas aesthetic, visible grid + network + waveform layers,
and a few symbol rings. Use restrained colors, high text readability.
Keywords: latent space, manifold, spectral bands, topology.
EOF

# 2) (Optional) Edit configuration at the top of the generator script
#    - STYLE (lab-atlas | signal-loom | lattice-field)
#    - canvas width/height
#    - density parameters (node_count, noise_points, band_count, ring_density)
# Example:
# sed -i 's/^STYLE = .*/STYLE = "lab-atlas"/' scripts/svg_gen.py

# 3) Run generation
python scripts/svg_gen.py

# 4) View output
# Primary output directory:
ls -la output/svggen/
# Quick preview file:
# open output/svggen/latest.svg   (macOS)
# xdg-open output/svggen/latest.svg (Linux)
# start output/svggen/latest.svg  (Windows)

Expected outputs:

output/svggen/latest.svg (latest render for quick preview)
output/svggen/<name>.svg (generated SVG)
output/svggen/<name>.json (metadata: includes prompt, seed, palette)

Implementation Details

Workflow

Write requirements to input/brief.txt (UTF-8).
Adjust the configuration section at the top of scripts/svg_gen.py (e.g., STYLE, canvas dimensions, density parameters).
Run python scripts/svg_gen.py.
Open output/svggen/latest.svg to inspect the result.

Prompt / Brief Guidelines

Use clear research semantics: field, object, structure, atmosphere, keywords.
English technical terms are allowed (e.g., latent space, graph topology) and should remain unchanged.
Keep the brief concise; the script maps text into structural elements and symbols.

Composition & Quality Criteria

Text readability: ensure key labels (e.g., prompt/mode text if present) are not obscured.
Structural hierarchy: at least three layers should be simultaneously visible, chosen from:
- grid
- waveform / spectral bands
- network / nodes
- symbol rings
Style consistency: avoid overly saturated colors; maintain scientific visual restraint.

Tuning / Troubleshooting Parameters

Output too dense: decrease node_count or noise_points.
Output too empty: increase band_count or ring_density.
Style mismatch: switch STYLE and regenerate.

Primary Entry Point

Generator script: scripts/svg_gen.py

Files

SKILL.md and 7 other files (scripts, references) in scientific-skills/Other/imagegenskill of aipoch/medical-research-skills.

SKILL.md
imagegenskill_audit_result_v1.json
references/cli.md
references/codex-network.md
references/image-api.md
references/prompting.md
references/sample-prompts.md
scripts/svg_gen.py

Open the folder on GitHubat commit 686e09d

Compare with similar skills

Imagegenskill 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.

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Questions about Imagegenskill

What does Imagegenskill do?

Generate renderable, scientific-style SVG graphics directly from natural-language requirements (no image models). Imagegenskill is an agent skill from aipoch/medical-research-skills. Generate renderable, scientific-style SVG graphics directly from natural-language requirements (no image models).

When should I use Imagegenskill?

Imagegenskill fits situations like: users ask for an image/picture/scientific diagram/visualization poster; explicitly request SVG output for web-embeddable vector graphics.

How do I install Imagegenskill in Claude Code?

Run `npx skills add aipoch/medical-research-skills --skill imagegenskill -a claude-code`. Or copy the skill folder (scientific-skills/Other/imagegenskill in aipoch/medical-research-skills) into .claude/skills/imagegenskill in your project. Claude Code loads it when a task matches its description.

How do I install Imagegenskill in Codex?

Run `npx skills add aipoch/medical-research-skills --skill imagegenskill -a codex`. Or copy the skill folder (scientific-skills/Other/imagegenskill in aipoch/medical-research-skills) into .agents/skills/imagegenskill in your project. Codex loads it when a task matches its description.

Can I use Imagegenskill 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 imagegenskill -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/imagegenskill, .gemini/skills/imagegenskill, .github/skills/imagegenskill and .opencode/skills/imagegenskill in your project.

What does Imagegenskill need to run?

Going by SKILL.md and its folder, Imagegenskill needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Imagegenskill 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 Imagegenskill 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 Imagegenskill use?

Imagegenskill 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 Imagegenskill use?

About 1.1k tokens (SKILL.md is roughly 4.4k 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 7.4k tokens, read only when the agent opens those files.

What are the alternatives to Imagegenskill?

Skills that share tags, products or a category with Imagegenskill: MCP Server Builder (anthropics/skills, 180k stars), PDF Processing (anthropics/skills, 180k stars), NotebookLM Research Assistant (PleasePrompto/notebooklm-skill, 7.8k stars) and Manim Video Production (browser-use/video-use, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Imagegenskill?

aipoch (a GitHub organization) maintains it in aipoch/medical-research-skills, which has 1,974 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.

Install Imagegenskill

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

When to Use

Key Features

Dependencies

Example Usage

Implementation Details

Workflow

Prompt / Brief Guidelines

Composition & Quality Criteria

Tuning / Troubleshooting Parameters

Primary Entry Point

Files

Compare with similar skills

Similar skills

More from aipoch/medical-research-skills

Related

Questions about Imagegenskill