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.
Generate detailed prompts for creating scientific journal cover images and graphical abstracts using AI image generators.
scripts/main.py.references/ for task-specific guidance.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.cd "20260318/scientific-skills/Academic Writing/journal-cover-prompter"
python -m py_compile scripts/main.py
python scripts/main.py --help
Example run plan:
CONFIG block or documented parameters if the script uses fixed settings.python scripts/main.py with the validated inputs.See ## Workflow above for related details.
scripts/main.py.references/ contains supporting rules, prompts, or checklists.Use this command to verify that the packaged script entry point can be parsed before deeper execution.
python -m py_compile scripts/main.py
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
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"]
)
prompt = prompter.generate(
subject="cancer immunotherapy",
style="scientific illustration",
color_scheme="blue_gradient",
complexity="high"
)
Prompt Structure:
style_guide = prompter.select_style(
journal_type="nature",
subject_matter="molecular_biology"
)
Journal Styles:
specs = prompter.get_specs(
journal="Nature",
cover_type="front"
)
# Returns dimensions, resolution, color mode
python scripts/cover_prompter.py \
--topic "neuroscience synaptic transmission" \
--style artistic \
--output prompt.txt
Skill ID: 211 | Version: 1.0 | License: MIT
Every final response should make these items explicit when they are relevant:
scripts/main.py fails, report the failure point, summarize what still can be completed safely, and provide a manual fallback.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-prompteronly handles its documented workflow. Please provide the missing required inputs or switch to a more suitable skill.
Use the following fixed structure for non-trivial requests:
If the request is simple, you may compress the structure, but still keep assumptions and limits explicit when they affect correctness.