小省导购员数字人带货版即梦视频提示词生成系统,基于四大智能体协同(提示词生成师、质量管控师、知识库运维师、跨环节适配师),按照"主体+运动+场景+(镜头语言+光影+氛围)"公式输出中英文双版提示词,适配5s短视频。确保人物一致性、视觉连贯性、情绪连贯性,支持知识库智能复用和跨工具适配(Suno音乐、AI绘画),为数字人带货视频提供高质量提示词生成服务。
npx skills add https://github.com/anbeime/skill --skill dream-video-prompt-generator
职责:优先核查知识库,同类需求直接调取,新需求启动协作
输出格式:
{
"demand_type": "产品推荐/价格对比/促销活动",
"emotion_tone": "热情/专业/亲切/紧迫",
"scene_count": 5,
"knowledge_base_match": "true/false",
"existing_prompts": "如匹配,返回已存在提示词;如不匹配,返回null"
}
职责:按公式输出即梦提示词,严格遵循一致性
提示词公式:
主体(主体描述)+ 运动 + 场景(场景描述)+(镜头语言 + 光影 + 氛围)
核心要求:
输出格式(每幕):
{
"scene_number": 1,
"scene_name": "场景名称",
"duration": "5s",
"chinese_prompt": {
"subject": "主体描述",
"movement": "运动描述",
"scene": "场景描述",
"shot_language": "镜头语言",
"light": "光影",
"atmosphere": "氛围",
"full_prompt": "完整中文提示词"
},
"english_prompt": {
"subject": "Subject description",
"movement": "Movement description",
"scene": "Scene description",
"shot_language": "Shot language",
"light": "Light",
"atmosphere": "Atmosphere",
"full_prompt": "Complete English prompt"
},
"emotion_tone": "适配情绪",
"consistency_check": {
"character_description": "与核心角色固定描述一致",
"visual_elements": "视觉元素连贯",
"emotion_progression": "情绪递进自然"
}
}
职责:核查提示词的景别、光影、情绪匹配度
核查清单:
不通过处理:
输出格式:
{
"quality_check": "pass/fail",
"check_results": {
"character_consistency": "pass",
"shot_language": "pass",
"light_matching": "pass",
"emotion_progression": "pass",
"visual_coherence": "pass",
"ai_requirement": "pass",
"translation_quality": "pass"
},
"issues": [],
"adjustment_needed": "false"
}
职责:归档角色固定描述、提示词模板,支持复用
归档内容:
输出格式:
{
"archive_id": "唯一标识",
"scene_type": "产品推荐/价格对比/促销活动",
"emotion_tone": "情绪基调",
"character_profile": {
"gender": "女性",
"age": "25岁左右",
"appearance": "外貌描述",
"outfit": "服饰描述",
"temperament": "气质描述"
},
"prompt_templates": {
"scene_1": "第一幕模板",
"scene_2": "第二幕模板",
"scene_3": "第三幕模板",
"scene_4": "第四幕模板",
"scene_5": "第五幕模板"
},
"bilingual_version": "中英文对照版本",
"tags": ["标签1", "标签2"]
}
职责:联动Suno音乐生成、AI绘画,确保提示词同源
Suno音乐提示词(每幕对应):
{
"scene_number": 1,
"music_style": "音乐风格",
"music_prompt": "音乐提示词",
"emotion_match": "情绪匹配",
"instrumentation": "乐器配置",
"tempo": "节奏",
"duration": "时长"
}
AI绘画提示词(动作前画面):
{
"scene_number": 1,
"painting_prompt": "绘画提示词",
"pre_action_description": "动作前画面描述",
"visual_elements": "视觉元素",
"composition": "构图",
"color_palette": "色调"
}
输出格式:
{
"cross_tool_prompts": {
"suno_music": {
"scene_1": {...},
"scene_2": {...},
"scene_3": {...},
"scene_4": {...},
"scene_5": {...}
},
"ai_painting": {
"scene_1": {...},
"scene_2": {...},
"scene_3": {...},
"scene_4": {...},
"scene_5": {...}
}
}
}
{
"metadata": {
"scene_type": "产品推荐",
"emotion_tone": "热情专业",
"total_duration": "25s(5幕×5s)",
"character": "小省导购员"
},
"scenes": [
{
"scene_number": 1,
"scene_name": "开场吸引",
"duration": "5s",
"chinese_prompt": {
"full_prompt": "主体:25岁左右女性数字人,鹅蛋脸、杏眼带笑、浅棕色齐肩卷发,肤色白皙,唇色淡粉,身穿浅灰色修身西装套裙,内搭白色衬衫,脚踩米色细跟鞋,佩戴银色简约项链,气质专业又亲和,手部姿态优雅自然。运动:缓慢抬手指向右侧,姿态挺拔。场景:现代商务场景,背景是产品展示架,前景摆简约文件。镜头语言:中景固定镜头,背景虚化,顺光拍摄。光影:暖调柔光,明亮清晰。氛围:热情专业,吸引注意力。"
},
"english_prompt": {
"full_prompt": "Subject: 25-year-old female digital human, oval face, almond eyes with smile, light brown shoulder-length curly hair, fair skin, light pink lips, wearing light gray tailored suit skirt, white shirt, beige pumps, simple silver necklace, professional and friendly temperament, elegant hand gestures. Movement: Slowly raise hand pointing to the right, upright posture. Scene: Modern business setting, product display shelf in background, simple documents in foreground. Shot: Medium fixed shot, bokeh background, front light. Light: Warm soft light, bright and clear. Atmosphere: Enthusiastic and professional, attention-grabbing."
},
"emotion_tone": "热情专业",
"suno_music_prompt": "欢快现代音乐,轻快节奏,钢琴+电子乐,纯音乐,营造热情专业的氛围",
"ai_painting_prompt": "中景,顺光拍摄,现代商务场景暖调柔光,背景产品展示架虚化,前景简约文件;25岁女性数字人(鹅蛋脸、杏眼微笑、浅棕齐肩卷发,浅灰西装套裙+白衬衫+米色细跟鞋,银色项链)姿态挺拔,手势准备指向右侧,神情热情专业,整体画面明亮清晰。"
}
]
}
四大智能体角色定义:见 references/agent-roles.md
提示词公式详解:见 references/prompt-formula.md
一致性保障机制:见 references/consistency-guide.md
角色固定描述:见 references/character-profile.md
场景模板:见 references/scene-templates.md
跨工具适配:见 references/cross-tool-adaptation.md
示例提示词:见 assets/examples/sample-prompts.md
用户需求:生成一款5幕产品推荐视频的即梦提示词
执行方式:
关键参数:
用户需求:生成一款5幕价格对比视频的即梦提示词
执行方式:
关键参数:
用户需求:生成一款5幕促销活动视频的即梦提示词
执行方式:
关键参数:
agent-im 会话技能 - 通过 liblib.tv 的 AI 能力生成和编辑图片/视频。覆盖场景包括:生成(文生图、文生视频、图生视频、做动画、画一个xxx、来段xxx)、编辑修改(把xxx换成yyy、去掉xxx、加上xxx、改成xxx、调整xxx、局部修改、改镜头)、风格转换(风格迁移、转绘、换风格)、视频续写延长、复刻视频/TVC/宣传片、短剧/短漫剧生成、音乐MV生成、产品广告/展示片制作、分镜/故事板设计、教育视频/短视频制作。当用户提到 liblib、libtv、上传参考图/视频、查看生成进度时也应触发。关键判断:只要用户的请求涉及 AI 图片或视频的创作、生成、编辑、修改,无论措辞如何(如"画只猫"、"做个海报"、"把纸船换成爱心"、"这个视频帮我改一下"、"帮我复刻这段视频"、"用这首歌做个MV"、"一句话生成短剧"),都必须触发此技能。
This skill should be used when the user asks to "generate video prompts", "create Seedance prompts", "write video descriptions", mentions "Seedance", "seedance", "即梦", "即梦平台", "视频提示词", "视频生成", "AI视频", "短剧", "广告视频", "视频延长", or discusses video prompt engineering, AI video generation, or Seedance 2.0 workflows.
Best practices and techniques for writing effective AI video generation prompts. Covers: Veo, Seedance, Wan, Grok, Kling, Runway, Pika, Sora prompting strategies. Learn: shot types, camera movements, lighting, pacing, style keywords, negative prompts. Use for: improving video quality, getting consistent results, professional video prompts. Triggers: video prompt, how to prompt video, veo prompts, video generation tips, better ai video, video prompt engineering, video prompt guide, video prompt template, ai video tips, video prompt best practices, video prompt examples, cinematography prompts
This skill is a practical, 'use-it-while-debugging' reference for getting a LiveKit + Letta voice agent working reliably.
Download screenshot baselines from the latest CI run and commit them. Use when asked to update, accept, or refresh component screenshot baselines from CI, or after the screenshot-test GitHub Action reports differences. This skill should be run as a subagent.
| Turn vague taste, screenshots, URLs, product notes, or "make it feel like this" references into a grounded DESIGN.md plus an implementation handoff. Use it before prototypes, decks, redesigns, or image remix work when the user needs a reusable visual direction rather than a one-off prompt.
>- Upload local assets (images, mockups, extracted HTML, design markdown) to a Stitch project. ALWAYS use this skill when you need to upload visual assets, HTML pages, or design docs to Stitch, particularly when direct MCP tool calls fail or truncate due to base64 token limits.
This skill helps users automatically extract channel-level and video detail data from a specific YouTube channel via BrowserAct API. Agent should proactively apply this skill when users express needs like extracting channel video data, getting latest or popular videos from a YouTube channel, tracking competitor channel content, extracting video metrics such as views likes comments, retrieving subscriber count and channel info, monitoring posting cadence of a YouTube channel, gathering video data for content strategy analysis, getting earliest videos of a YouTube creator, analyzing engagement signals across a full channel, and downloading structured YouTube video details without manual scraping.
Take anbeime/dream-video-prompt-generator from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.