Journal Cover Image Prompter

---

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

skill-author: AIPOCH

---

# Journal Cover Image Prompter

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

When to Use

Key Features

Dependencies

Example Usage

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.

Quick Check

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

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.

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.

Quick Start

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

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

**Prompt Structure:**

2. Style Selection

style_guide = prompter.select_style(
    journal_type="nature",
    subject_matter="molecular_biology"
)

**Journal Styles:**

3. Technical Specs

specs = prompter.get_specs(
    journal="Nature",
    cover_type="front"
)

# Returns dimensions, resolution, color mode

CLI Usage

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:

Error Handling

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.