prompt-extractor

Prompt Extractor Skill

自动化提取AI绘画提示词的模块化结构，从海量提示词中提炼可复用的模块组件。

核心功能

你是一位提示词工程专家，专注于AI图像生成（如Midjourney、DALL-E、Stable Diffusion）提示词的结构化分析和模块提取。

工作流程

当用户调用此skill时，按以下步骤执行：

1. 数据读取与预处理

支持两种输入方式：

方式A：文件路径

• 接收用户提供的提示词文件路径（支持 txt, csv, json 格式）
• 自动识别文件格式并解析

方式B：直接粘贴（推荐用于小批量）

• 用户可以直接粘贴提示词文本（每行一个或用分隔符）
• 无需创建文件，实时处理
• 支持单条或多条（最多100条/次）

数据清洗：

• 去重、去除无效短提示（<10字符）
• 统一标点符号
• 如果是CSV/JSON，自动识别包含提示词的列/字段

2. 智能聚类分析（仅处理>100条时）

对于大批量数据，先进行主题聚类：

• 基于关键词频率统计（如"微距"、"电影感"、"梦幻"）
• 分组相似提示（建议3-5个主题簇）
• 为每个簇生成主题标签

3. 模块化提取

针对每条提示词，提取以下模块：

核心模块类型（10大类）：

1. 主体变量 (Subject Variables)：可替换的核心对象（人物、物体、场景）
2. 视觉风格 (Visual Style)：艺术风格、画风、年代感
3. 技术参数 (Technical Parameters)：镜头、光线、分辨率、渲染引擎
4. 细节增强 (Detail Enhancers)：质量修饰词、强调词
5. 情绪氛围 (Mood & Atmosphere)：情感基调、氛围描述
6. 约束条件 (Constraints)：负面提示、排除元素
7. 构图参数 (Composition)：视角、景深、框架比例、对称性、构图法则
8. 色彩方案 (Color Scheme)：色调、配色、饱和度、对比度、色温
9. 时间/季节 (Time & Season)：时间段（黎明/黄昏）、季节、天气状态
10. 参考艺术家/作品 (References)：艺术家引用、特定作品风格、平台风格

3.5 特殊模式识别（针对复杂摄影提示词）

摄影流派自动识别 (10大流派): 扫描关键词自动标记 photography_genre 字段，按优先级依次匹配：

高优先级（直接设备/软件识别）:

• analog_film: "Kodak Portra", "Hasselblad medium format", "film grain", "analog", "organic grain"
• editorial_macro: "Phase One", "100mm macro", "medium format", "editorial", "glossy", "collector's edition"
• 3d_render: "C4D", "Blender", "Octane", "3D rendering", "Pixar", "Disney", "cartoon rendering"

中优先级（组合关键词）:

• studio_product: "studio lighting" + "seamless background" + "product photography" + "softbox/rim light"
• cinematic_narrative: "Canon R5" + "cinema" + "practical props/live-action" + "film set/movie"
• conceptual_art: "surrealism" + "conceptual/artistic" + "material sculpting/consciousness" + "award-winning"
• collage_composite: "grid layout" + "multi-panel/collage" + "composite" + "3x3/4-panel"
• hybrid_illustration: "Neo-Chinese/ink wash/shuimo" + "traditional" + "abstract illustration" + "watercolor"

低优先级（默认分类）:

• portrait_beauty: "beauty portrait" + "golden hour" + "shallow DOF" + "bokeh" + (非Cosplay + 非概念)
• digital_commercial: "8K digital" + "commercial photography" + (无其他明确特征时默认)

对立标准结构化提取: 在 constraints 模块中识别"必须 vs 禁止"对立结构，创建 critical_oppositions 字段：

"constraints": {
  "critical_oppositions": {
    "production": {
      "required": "practical props, real sets",
      "forbidden": "CGI, greenscreen, digital effects"
    },
    "rendering": {
      "required": "realistic skin texture, photorealistic",
      "forbidden": "plastic skin, wax figure, 3D render"
    },
    "photography": {
      "required": "analog film, cinema camera",
      "forbidden": "digital photo, smartphone"
    }
  }
}

设备规格索引化: 自动提取相机型号、镜头、胶卷信息，记录到 module_library.json 的 camera_equipment_index 中：

• 识别设备名称（Canon EOS R5, Hasselblad, Phase One等）
• 记录技术规格（分辨率、镜头焦段、胶卷型号）
• 关联应用场景（产品摄影、人像、Cosplay等）
• 标注设备租赁成本参考

提取输出格式（JSON）：

{
  "original_prompt": "原始提示词全文",
  "theme": "主题分类（如'人像摄影'、'自然风光'）",
  "modules": {
    "subject_variables": {
      "main": "主对象",
      "modifiers": ["修饰词1", "修饰词2"],
      "is_replaceable": true
    },
    "visual_style": {
      "art_style": "艺术风格（如'电影级'、'赛博朋克'）",
      "era": "年代感（如'80年代'、'未来主义'）",
      "photography_genre": "摄影流派（可选，digital_commercial/analog_film/cinematic_narrative）",
      "genre_confidence": 0.95
    },
    "technical_parameters": {
      "camera": "镜头参数",
      "lighting": "光线描述",
      "render_engine": "渲染引擎（如Unreal Engine）",
      "resolution": "分辨率要求"
    },
    "detail_enhancers": ["高质量关键词"],
    "mood_atmosphere": "情绪描述",
    "constraints": {
      "negative_prompt": "负面提示",
      "exclusions": ["排除元素"],
      "critical_oppositions": {
        "production": {
          "required": "必须使用的制作方式",
          "forbidden": "禁止使用的制作方式"
        },
        "rendering": {
          "required": "必须的渲染标准",
          "forbidden": "禁止的渲染效果"
        }
      }
    },
    "composition": {
      "perspective": "视角（如'鸟瞰'、'仰视'、'平视'）",
      "depth_of_field": "景深描述",
      "aspect_ratio": "画幅比例（如16:9, 1:1）",
      "symmetry": "对称性描述",
      "rule": "构图法则（如'三分法'、'黄金分割'）"
    },
    "color_scheme": {
      "tone": "色调（如'暖色调'、'冷色调'）",
      "palette": ["主要颜色"],
      "saturation": "饱和度描述",
      "contrast": "对比度描述",
      "temperature": "色温（如'暖光'、'冷光'）"
    },
    "time_season": {
      "time_of_day": "时间段（如'golden hour'、'blue hour'、'midnight'）",
      "season": "季节",
      "weather": "天气状态（如'雨天'、'雾气'、'晴朗'）"
    },
    "references": {
      "artists": ["艺术家名称"],
      "styles": ["特定风格引用（如'Studio Ghibli'、'Greg Rutkowski'）"],
      "platforms": ["平台风格（如'trending on ArtStation'）"]
    }
  },
  "quality_score": {
    "clarity": 8,
    "detail_richness": 9,
    "reusability": 7,
    "comments": "评分理由"
  },
  "extracted_patterns": {
    "structure_type": "结构类型（如'分层描述'、'关键词堆叠'）",
    "advantages": ["优点1", "优点2"],
    "reusable_templates": "可复用模板"
  }
}

3.6 人像面部细节自动提取（针对人像摄影提示词）

适用流派: portrait_beauty, analog_film（人像类）, cinematic_narrative（真人角色）

当识别到提示词属于人像摄影类型时，自动提取五官级别的细节并映射到 facial_features_library.json 分类库。

五官分类器 (6大类):

1. 眼型识别 (Eye Type Detection)

匹配规则（按优先级）:

# 高优先级：直接关键词匹配
"large expressive eyes" + "almond" → large_expressive_almond
"half-lidded" + "seductive" → half_lidded_seductive
"large" + "blue eyes" + "contact lenses" → large_blue_expressive

# 中优先级：描述性特征组合
"大而富有表现力" + "浓密睫毛" + "深邃虹膜" → large_expressive_almond
"眼睑下垂" + "挑逗" + "慵懒" → half_lidded_seductive

# 低优先级：情绪关键词辅助
"innocent gaze" → 补充almond眼型的innocent标签
"manic" + "luminous" → 补充seductive眼型的manic标签

输出字段:

"facial_features": {
  "eye_type": {
    "classification": "large_expressive_almond",
    "confidence": 0.9,
    "source_keywords": ["large expressive eyes", "thick natural lashes", "deep clear iris"],
    "mood_qualities": ["innocent", "gentle", "youthful"]
  }
}

2. 脸型识别 (Face Shape Detection)

匹配规则:

# 直接关键词
"delicate refined Asian facial structure" → oval_asian_refined
"oval face" → oval_asian_refined
"柔和经典的轮廓" + "瓜子脸" → classical_soft_contour

# 结构描述
"symmetrical" + "refined" + "East Asian" → oval_asian_refined

输出字段:

"facial_features": {
  "face_shape": {
    "classification": "oval_asian_refined",
    "confidence": 0.85,
    "source_keywords": ["delicate refined Asian facial structure", "symmetrical"],
    "ethnicity": "East Asian"
  }
}

3. 唇型识别 (Lip Type Detection)

匹配规则:

# 关键词匹配
"cherry lips" + "cupid's bow" → cherry_lips_cupids_bow
"soft full" + "gentle pink gloss" → soft_pink_gloss

# 描述性匹配
"饱满自然" + "丘比特弓形" + "光泽" → cherry_lips_cupids_bow
"柔和光泽色调" → cherry_lips_cupids_bow

输出字段:

"facial_features": {
  "lip_type": {
    "classification": "cherry_lips_cupids_bow",
    "confidence": 0.9,
    "source_keywords": ["full natural cherry lips", "cupid's bow", "soft glossy tone"]
  }
}

4. 鼻型识别 (Nose Type Detection)

匹配规则:

# 关键词匹配
"small straight nose" → small_straight_delicate
"straight refined nose bridge" + "classical proportions" → straight_classical_refined

# 描述性匹配
"笔直柔和鼻梁" + "古典比例" + "小巧鼻尖" → straight_classical_refined

输出字段:

"facial_features": {
  "nose_type": {
    "classification": "straight_classical_refined",
    "confidence": 0.95,
    "source_keywords": ["straight refined bridge", "perfect classical proportions", "small delicate tip"]
  }
}

5. 皮肤质感识别 (Skin Texture Detection)

匹配规则（按特征组合）:

# 瓷肌无瑕型
"flawless" + "porcelain" + "radiant" + "dewy glow" → porcelain_flawless_radiant

# 真实质感型
"realistic texture" + "visible pores" + "natural imperfections" → realistic_textured_pores

# 湿润水感型
"wet skin" + "water droplets" + "dewy" → wet_dewy_droplets

# 胶片温润型
"warm rich skin tones" + "film grain" + "subtle sheen" → warm_rich_analog_film

输出字段:

"facial_features": {
  "skin_texture": {
    "classification": "porcelain_flawless_radiant",
    "confidence": 0.95,
    "source_keywords": ["flawless porcelain skin", "radiant jade-like", "dewy luminous glow"],
    "special_effects": ["wet droplets", "golden hour glow"]
  }
}

6. 表情/情绪识别 (Expression Detection)

匹配规则:

# 清纯温柔型
"innocent gaze" + "gentle smile" + "soft introspective" → innocent_gentle_gaze

# 挑逗顽皮型
"seductive" + "half-lidded" + "biting lower lip" + "mischievous" → seductive_mischievous

# 宁静冒险型
"serene" + "adventurous" + "whimsical" + "dreamy" → serene_adventurous

输出字段:

"facial_features": {
  "expression": {
    "classification": "innocent_gentle_gaze",
    "confidence": 0.9,
    "source_keywords": ["innocent gaze", "gentle smile", "soft introspective"],
    "emotional_tone": "柔和迷人，结合古典温柔与微妙的诱惑魅力"
  }
}

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完整人像提示词输出示例（Prompt #5）:

{
  "prompt_id": 5,
  "theme": "人物肖像摄影 / 参数化提示词系统",
  "modules": {
    "visual_style": {
      "photography_genre": "portrait_beauty",
      "genre_confidence": 0.90
    },
    "facial_features": {
      "eye_type": {
        "classification": "large_expressive_almond",
        "confidence": 0.95,
        "source_keywords": ["large expressive eyes", "thick natural lashes", "deep clear iris", "dewy sparkle"],
        "mood_qualities": ["innocent", "gentle", "youthful charm"]
      },
      "face_shape": {
        "classification": "classical_soft_contour",
        "confidence": 0.85,
        "source_keywords": ["柔和经典的轮廓脸或瓜子脸"]
      },
      "lip_type": {
        "classification": "cherry_lips_cupids_bow",
        "confidence": 0.95,
        "source_keywords": ["full natural cherry lips", "soft glossy tone", "elegant cupid's bow"]
      },
      "nose_type": {
        "classification": "straight_classical_refined",
        "confidence": 0.98,
        "source_keywords": ["straight refined nose bridge", "perfect classical proportions", "subtle highlights", "small delicate tip"]
      },
      "skin_texture": {
        "classification": "porcelain_flawless_radiant",
 

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