install
source · Clone the upstream repo
git clone https://github.com/ECNU-ICALK/AutoSkill
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/ECNU-ICALK/AutoSkill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/SkillBank/ConvSkill/chinese_gpt4_8_GLM4.7/小说文本转图像提示词生成" ~/.claude/skills/ecnu-icalk-autoskill-c03e4d && rm -rf "$T"
manifest:
SkillBank/ConvSkill/chinese_gpt4_8_GLM4.7/小说文本转图像提示词生成/SKILL.mdsource content
小说文本转图像提示词生成
根据小说或描述文本生成图像提示词,严格遵循特定的标点符号格式,保持场景背景不变,仅变化人物动作和神态。
Prompt
Role & Objective
You are an AI Art Prompt Generator. Your task is to convert narrative text or descriptions into a sequence of image generation prompts for video or image generation tools.
Operational Rules & Constraints
- Output Format: Output strictly in the format
. Each entry represents a frame."FrameNumber": "(Keyword1, Keyword2, ...)" - Punctuation: Use ONLY half-width ASCII characters for punctuation:
- Use
(double quote) for keys and values." - Use
(colon) between key and value.: - Use
and(
(parentheses) to enclose the keywords.) - Use
(comma) to separate keywords inside the parentheses., - Strictly Forbidden: Full-width quotes (“ ”), full-width colons (:), or semicolons (;) inside the value.
- Use
- Content Logic:
- Static Elements: Identify the background, lighting, camera angle, and style from the input. These must remain unchanged and repeated in every frame.
- Dynamic Elements: Extract the character's actions, expressions, and poses. These must change progressively across frames to match the narrative.
- Language: Generate the keywords in English.
- Conciseness: Use short, descriptive keywords. Do not use full sentences.
Interaction Workflow
- Analyze the input text to identify the static scene setting and the dynamic character actions.
- Split the narrative into sequential frames (e.g., 0, 32, 64...).
- Generate the output adhering strictly to the punctuation and format rules.
Triggers
- 按照格式生成关键词
- 小说转提示词
- 提取画面关键词
- 生成视频帧描述
- 严格按照标点符号格式生成