Agent skill

Journal Cover Prompter

by aipoch in aipoch/medical-research-skills

A skill your agent uses when creating journal cover images, generating scientific artwork prompts, or designing graphical abstracts.

MITAuto-check passedMedia & Creative

Install Journal Cover Prompter

skills CLI
$ npx skills add aipoch/medical-research-skills --skill journal-cover-prompter -a claude-code

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

GitHub CLI
$ gh skill install aipoch/medical-research-skills journal-cover-prompter --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/Academic Writing/journal-cover-prompter' .claude/skills/journal-cover-prompter && 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/

Facts

Skill name
journal-cover-prompter
GitHub stars
1.9k
Token cost
~1.8k tokens
SKILL.md length
716 words
Files
4 (incl. scripts, references)
Skills in repo
578
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when creating journal cover images, generating scientific artwork prompts, or designing graphical abstracts.

  • Works in 3 steps: Prompt Generation → Style Selection → Technical Specs
  • Creating journal cover images
  • SKILL.md covers When to Use, Key Features, Dependencies and Example Usage, plus 12 more sections
  • Runs Python scripts from its folder; calls python

What it does

Journal Cover Prompter is an agent skill from aipoch/medical-research-skills. Use when creating journal cover images, generating scientific artwork prompts, or designing graphical abstracts. Creates detailed prompts for AI image generators to produce publication-quality scientific visuals.

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `journal-cover-prompter_audit_result_v2.json`, `references/audit-reference.md` and `scripts/main.py`).

It sits in Media & Creative, covering Social media graphics, Image generation and Data visualization. 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

  • Creating journal cover images
  • Generating scientific artwork prompts
  • Designing graphical abstracts

Example prompts

  • “/journal-cover-prompter”

Requirements

  • Python 3

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Prompt Generation
  2. Style Selection
  3. Technical Specs

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

Journal Cover Prompter loads about 1.8k tokens when it runs, and up to ~2k if it reads all its reference files. Until then it costs about 59 tokens; SKILL.md has 716 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~59
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2k

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). 716 words, ~1,763 tokens.

Download SKILL.mdSave it as .claude/skills/journal-cover-prompter/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
journal-cover-prompter
description
Use when creating journal cover images, generating scientific artwork prompts, or designing graphical abstracts. Creates detailed prompts for AI image generators to produce publication-quality scientific visuals.
license
MIT
author
AIPOCH

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

Journal Cover Image Prompter

Generate detailed prompts for creating scientific journal cover images and graphical abstracts using AI image generators.

When to Use

  • Use this skill when the task needs Use when creating journal cover images, generating scientific artwork prompts, or designing graphical abstracts. Creates detailed prompts for AI image generators to produce publication-quality scientific visuals.
  • Use this skill for academic writing tasks that require explicit assumptions, bounded scope, and a reproducible output format.
  • Use this skill when you need a documented fallback path for missing inputs, execution errors, or partial evidence.

Key Features

  • Scope-focused workflow aligned to: Use when creating journal cover images, generating scientific artwork prompts, or designing graphical abstracts. Creates detailed prompts for AI image generators to produce publication-quality scientific visuals.
  • Packaged executable path(s): scripts/main.py.
  • Reference material available in references/ for task-specific guidance.
  • Structured execution path designed to keep outputs consistent and reviewable.

Dependencies

  • Python: 3.10+. Repository baseline for current packaged skills.
  • Third-party packages: not explicitly version-pinned in this skill package. Add pinned versions if this skill needs stricter environment control.

Example Usage

bash
cd "20260318/scientific-skills/Academic Writing/journal-cover-prompter"
python -m py_compile scripts/main.py
python scripts/main.py --help

Example run plan:

  1. Confirm the user input, output path, and any required config values.
  2. Edit the in-file CONFIG block or documented parameters if the script uses fixed settings.
  3. Run python scripts/main.py with the validated inputs.
  4. Review the generated output and return the final artifact with any assumptions called out.

Implementation Details

See ## Workflow above for related details.

  • Execution model: validate the request, choose the packaged workflow, and produce a bounded deliverable.
  • Input controls: confirm the source files, scope limits, output format, and acceptance criteria before running any script.
  • Primary implementation surface: scripts/main.py.
  • Reference guidance: references/ contains supporting rules, prompts, or checklists.
  • Parameters to clarify first: input path, output path, scope filters, thresholds, and any domain-specific constraints.
  • Output discipline: keep results reproducible, identify assumptions explicitly, and avoid undocumented side effects.

Quick Check

Use this command to verify that the packaged script entry point can be parsed before deeper execution.

bash
python -m py_compile scripts/main.py

Audit-Ready Commands

Use these concrete commands for validation. They are intentionally self-contained and avoid placeholder paths.

bash
python -m py_compile scripts/main.py
python scripts/main.py --help

Workflow

  1. Confirm the user objective, required inputs, and non-negotiable constraints before doing detailed work.
  2. Validate that the request matches the documented scope and stop early if the task would require unsupported assumptions.
  3. Use the packaged script path or the documented reasoning path with only the inputs that are actually available.
  4. Return a structured result that separates assumptions, deliverables, risks, and unresolved items.
  5. If execution fails or inputs are incomplete, switch to the fallback path and state exactly what blocked full completion.
Show full SKILL.md (284 more words)Show less

Quick Start

python
from scripts.cover_prompter import CoverPrompter

prompter = CoverPrompter()

# Generate prompt
prompt = prompter.create_prompt(
    research_topic="CRISPR gene editing",
    visual_style="photorealistic",
    mood="hopeful",
    key_elements=["DNA strands", "molecular scissors", "cells"]
)

Core Capabilities

1. Prompt Generation
python
prompt = prompter.generate(
    subject="cancer immunotherapy",
    style="scientific illustration",
    color_scheme="blue_gradient",
    complexity="high"
)

Prompt Structure:

  • Subject description
  • Artistic style
  • Color palette
  • Lighting and mood
  • Technical specifications
2. Style Selection
python
style_guide = prompter.select_style(
    journal_type="nature",
    subject_matter="molecular_biology"
)

Journal Styles:

  • Nature: Dramatic, artistic
  • Cell: Clean, molecular focus
  • Science: Conceptual, broad appeal
  • Medical journals: Clinical, professional
3. Technical Specs
python
specs = prompter.get_specs(
    journal="Nature",
    cover_type="front"
)

# Returns dimensions, resolution, color mode

CLI Usage

text
python scripts/cover_prompter.py \
  --topic "neuroscience synaptic transmission" \
  --style artistic \
  --output prompt.txt

Skill ID: 211 | Version: 1.0 | License: MIT

Output Requirements

Every final response should make these items explicit when they are relevant:

  • Objective or requested deliverable
  • Inputs used and assumptions introduced
  • Workflow or decision path
  • Core result, recommendation, or artifact
  • Constraints, risks, caveats, or validation needs
  • Unresolved items and next-step checks

Error Handling

  • If required inputs are missing, state exactly which fields are missing and request only the minimum additional information.
  • If the task goes outside the documented scope, stop instead of guessing or silently widening the assignment.
  • If scripts/main.py fails, report the failure point, summarize what still can be completed safely, and provide a manual fallback.
  • Do not fabricate files, citations, data, search results, or execution outcomes.

Input Validation

This skill accepts requests that match the documented purpose of journal-cover-prompter and include enough context to complete the workflow safely.

Do not continue the workflow when the request is out of scope, missing a critical input, or would require unsupported assumptions. Instead respond:

journal-cover-prompter only handles its documented workflow. Please provide the missing required inputs or switch to a more suitable skill.

References

Response Template

Use the following fixed structure for non-trivial requests:

  1. Objective
  2. Inputs Received
  3. Assumptions
  4. Workflow
  5. Deliverable
  6. Risks and Limits
  7. Next Checks

If the request is simple, you may compress the structure, but still keep assumptions and limits explicit when they affect correctness.

© 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 3 other files (scripts, references) in scientific-skills/Academic Writing/journal-cover-prompter of aipoch/medical-research-skills.

  • SKILL.md
  • journal-cover-prompter_audit_result_v2.json
  • references/audit-reference.md
  • scripts/main.py

Open the folder on GitHubat commit 686e09d

Compare with similar skills

Journal Cover Prompter 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.

Journal Cover Prompter compared with similar skills
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Journal Cover Prompter this skillaipoch/medical-research-skills1.9k—~1.8kAutomated safety check: PassMIT
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Image Genfastclaw-ai/fastclaw1.4k—~417Automated safety check: PassCustom licence
SEO Image GeneratorAgriciDaniel/claude-seo19k2 repos~2.1kAutomated safety check: PassMIT
Cover Anchor Systemponyodong2026/ponyo-cover-anchor-system190—~1.1kAutomated safety check: PassNone
Design Masterminhnv0807/ai-business-skills609—~4.6kAutomated safety check: PassMIT

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Questions about Journal Cover Prompter

What does Journal Cover Prompter do?

A skill your agent uses when creating journal cover images, generating scientific artwork prompts, or designing graphical abstracts. Journal Cover Prompter is an agent skill from aipoch/medical-research-skills. Use when creating journal cover images, generating scientific artwork prompts, or designing graphical abstracts.

When should I use Journal Cover Prompter?

Journal Cover Prompter fits situations like: creating journal cover images; generating scientific artwork prompts; designing graphical abstracts.

How do I install Journal Cover Prompter in Claude Code?

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

How do I install Journal Cover Prompter in Codex?

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

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

What does Journal Cover Prompter need to run?

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

Does Journal Cover Prompter 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 Journal Cover Prompter 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 Journal Cover Prompter use?

Journal Cover Prompter 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 Journal Cover Prompter 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. Its references folder adds about 195 tokens, read only when the agent opens those files.

What are the alternatives to Journal Cover Prompter?

Skills that share tags, products or a category with Journal Cover Prompter: Guizang Material Illustration (op7418/guizang-material-illustration, 1.2k stars), Image Gen (fastclaw-ai/fastclaw, 1.4k stars), SEO Image Generator (AgriciDaniel/claude-seo, 19k stars) and Cover Anchor System (ponyodong2026/ponyo-cover-anchor-system, 190 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Journal Cover Prompter?

aipoch (a GitHub organization) maintains it in aipoch/medical-research-skills, which has 1,937 GitHub stars. The repository holds 578 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.