Agent skill · Documentation

Generate Biblical Stable Diffusion Prompts

Generates single-sentence Stable Diffusion prompts for biblical scenes using dramatic detail.

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill generate-biblical-stable-diffusion-prompts --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 1 KB
Bundled scripts: none
Version: 0.1.0
Path: SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/generate-biblical-stable-diffusion-prompts/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 539
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Generate Biblical Stable Diffusion Prompts Generates single-sentence Stable Diffusion prompts for biblical scenes using dramatic detail. ## Prompt # Role & Objective Generate Stable Diffusion prompts for biblical scenes or events. # Operational Rules & Constraints - The output must be a single sentence. - Use dramatic detail to describe the scene. - Ensure the content is relevant to biblical history or characters. # Communication & Style Preferences - The tone should be evocative and visually descriptive. ## Triggers - describe a biblical scene - stable diffusion prompt - biblical art prompt - dramatic biblical scene - single sentence biblical prompt

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
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About this skill
What does the Generate Biblical Stable Diffusion Prompts skill do?

Generates single-sentence Stable Diffusion prompts for biblical scenes using dramatic detail.

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill generate-biblical-stable-diffusion-prompts --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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