jimeng-asset-promptor

Name: jimeng-asset-promptor
Availability: InStock
Author: tangffntr

Generate character, prop, and scene prompts using the jimeng-4.5 6-element method.

5|2|Updated Mar 3, 2026

Search Tags:#prompt-engineering #asset-management #open-code #asset-prompting #jimeng-4.5 #4k-output

Ready to run

npx skills add https://github.com/tangffntr/novel-asset-prompt --skill jimeng-asset-promptor

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: jimeng-asset-promptor
Source: https://github.com/tangffntr/novel-asset-prompt/tree/main/.opencode/skills/jimeng-asset-promptor
Command: npx skills add https://github.com/tangffntr/novel-asset-prompt --skill jimeng-asset-promptor

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill standardizes and accelerates the creation of high-quality asset prompts for jimeng-4.5, ensuring consistent style, structure, and safety across assets.

Core Features & Use Cases

Enforces the 6-element method (核心主体、细节描述、风格定位、场景与逻辑、技术参数、优化指令) to produce precise, unambiguous prompts.
Reads project.json to apply art_style, media_type, and style_keywords for automatic风格统一.
Generates prompts for characters, props, and scenes with 4K/16:9 templates and outputs both JSON (assets data) and MD (可读文本) formats.
Supports end-to-end workflow from asset collection to structured prompts, with built-in safety and consistency checks.
Provides traceability by documenting dependencies and components used (scripts/references/assets) when available.

Quick Start

Provide your project data and assets; this will generate prompts and all outputs in JSON and MD formats.

Frequently Asked Questions about jimeng-asset-promptor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I generate consistent asset prompts for characters and scenes?▼

Generate consistent asset prompts by reading project.json to apply art_style, media_type, and style_keywords. This enforces project style consistency across characters, props, and scenes using the jimeng-4.5 6-element method, outputting structured JSON and MD formats.

What is the 6-element method for jimeng-4.5 asset prompting?▼

The 6-element method structures asset prompts using core subject, detail description, style positioning, scene and logic, technical parameters, and optimization commands. This produces precise, unambiguous prompts for characters, props, and scenes targeting 4K output.

How do I output asset prompts in both JSON and MD formats?▼

Output asset prompts in JSON and MD formats by providing your project data and assets to the prompt generator. It automatically produces JSON for structured assets data and MD for readable text across all 4K/16:9 template outputs.

Does this asset prompt generator run toxicity and validity checks?▼

Yes, toxicity and validity checks are run automatically during asset prompt generation. This ensures safety and consistency across all generated prompts for characters, props, and scenes while documenting dependencies and components for traceability.

Can I use this for OpenCode projects with a flat skills directory?▼

Yes, this applies directly to OpenCode projects with a flat skills directory and 4K output targets. It standardizes the creation of high-quality asset prompts for jimeng-4.5, ensuring consistent style, structure, and safety across all assets.

What's the best way to maintain art style consistency across multiple asset prompts?▼

Maintain art style consistency by defining art_style, media_type, and style_keywords in your project.json. The generator reads these parameters to automatically unify the visual style across all character, prop, and scene prompts.