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zhao-libtv-prompt

专业分镜脚本生成器。将剧本转换为详细的分镜脚本,包含景别(特写/近景/中景/全景/远景)、机位、运镜、画面描述、音效、每句台词的声音要求(情绪强度/语速/音色/状态/停顿)、光影氛围、正反向提示词。适用于古装短剧、现代剧、影视制作等所有类型的视频分镜规划。

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Zhao-LibTV-Prompt
description
专业分镜脚本生成器。将剧本转换为详细的分镜脚本,包含景别(特写/近景/中景/全景/远景)、机位、运镜、画面描述、音效、每句台词的声音要求(情绪强度/语速/音色/状态/停顿)、光影氛围、正反向提示词。适用于古装短剧、现代剧、影视制作等所有类型的视频分镜规划。
# Zhao-LibTV-Prompt Skill ## Overview Professional storyboard script generator for AI video generation. Converts scripts into detailed shot-by-shot breakdowns with camera angles, movements, lighting, and voice direction. ## When to Use - User provides a script/dialogue and asks for storyboard/shots - User wants to convert text into visual sequences - User needs detailed camera directions for AI video generation - User wants to plan scenes with precise timing and emotional beats ## Core Workflow ### Step 1: Script Analysis Analyze the provided script for: 1. **Scene Structure**: Identify distinct scenes and their locations 2. **Character Arcs**: Track emotional progression throughout 3. **Key Moments**: Pinpoint climactic/emotional peaks 4. **Pacing**: Determine rhythm and tempo of each section 5. **Visual Elements**: Note props, settings, costumes, weather ### Step 2: Scene Breakdown Divide script into timed segments (typically 5-15 seconds each): - **0-X seconds**: Opening/setup - **X-Y seconds**: Conflict/rising action - **Y-Z seconds**: Climax/resolution - **Z-END**: Closing/transition Each segment needs: - Time range - Scene location - Characters present - Emotional tone - Key actions/dialogue ### Step 3: Shot Design For each segment, define: #### Visual Composition ` 【景别】Shot Size (特写/近景/中景/全景/远景) 【机位】Camera Position (正面/侧面/俯视/仰视/跟随) 【运镜】Camera Movement (推/拉/摇/移/跟/甩/旋转) ` #### Action Description Write in shot-by-shot format: ` - 特写[内容] - 中景[内容] - 远景[内容] ` Use progressive shot sizes to build tension or release it. ### Step 4: Voice Direction For EVERY line of dialogue, add: ` 【[角色]声音要求】 - 情绪强度:X% (0-100) - 语速:描述 (快/慢/变化) - 音色:描述 (年龄/性别/质感) - 状态:心理/生理状态 - 停顿:精确到秒的停顿点 ` ### Step 5: Technical Specs Add these sections: ` ## 【光影氛围强化词】 Lighting, color palette, atmosphere descriptors ## 【通用固定提示词】 Positive prompts for AI generation ## 【负向提示词】 Negative prompts to avoid ## 【旁白反向提示词】 Negative prompts for narration ` ## Output Format Follow this exact structure: `markdown # [Episode Title] —— 分镜脚本 --- ## 【整体基调】 - **色调**:[color palette] - **影调**:[lighting style] - **节奏**:[pacing description] - **总时长**:[total seconds] --- ## [Time Range] | [Segment Title] **【景别】** [Shot size progression] **【机位】** [Camera positions] **【运镜】** [Movement types] **【画面】** - [Shot 1 description] - [Shot 2 description] - [Shot 3 description] **【音效】** - [Sound effects] **【[角色]】** > "[Dialogue]" **【[角色]声音要求】** - 情绪强度:[X]% - 语速:[description] - 音色:[description] - 状态:[description] - 停顿: - "[text]"后停顿[X]秒 ` ## Best Practices ### Shot Progression - Build tension: 远景 → 全景 → 中景 → 近景 → 特写 - Release tension: 特写 → 近景 → 中景 → 全景 → 远景 - Quick cuts for action/comedy - Slow pushes for drama/emotion ### Timing - Opening shots: 3-8 seconds (establish scene) - Dialogue exchanges: 5-15 seconds per line - Climactic moments: 10-20 seconds with multiple shots - Transitions: 2-5 seconds ### Emotional Arcs Map emotion intensity (0-100%) across the episode: - Beginning: Low-Medium (20-40%) - Rising action: Medium-High (40-70%) - Climax: Very High (70-90%) - Resolution: Medium-Low (30-50%) ### Voice Direction Tips - Pause duration creates emphasis - Speed changes indicate emotion shifts - Tone quality reveals character depth - State descriptions guide performance authenticity ## Example Patterns ### Pattern 1: Dramatic Reveal ` 特写眼睛 → 拉远至中景 → 全景展示环境 ` ### Pattern 2: Action Sequence ` 快速切换:近景动作 → 特写面部 → 中景全景 → 特写结果 ` ### Pattern 3: Emotional Beat ` 静止长镜头 → 缓慢推近 → 特写微表情 → 拉远留白 ` ## Customization Adjust based on genre: - **Historical**: Focus on architecture, costumes, traditional lighting - **Modern**: Contemporary settings, natural lighting, realistic dialogue - **Fantasy**: Enhanced lighting, atmospheric effects, stylized compositions - **Comedy**: Faster cuts, wider shots, exaggerated expressions ## Quality Checklist Before delivering: - [ ] Every scene has clear shot sizes and camera positions - [ ] All dialogue has voice direction with timing - [ ] Sound effects are specified for each segment - [ ] Lighting/atmosphere is described consistently - [ ] Total duration matches episode length - [ ] Emotional arc is complete and satisfying - [ ] Negative prompts prevent unwanted styles - [ ] Positive prompts ensure desired aesthetic ## Advanced Techniques ### Cross-Fading Emotions Use shot progression to mirror emotional states: - Confusion: Disjointed cuts, multiple angles - Clarity: Single sustained shot, slow movement - Tension: Progressive zooms, shallow depth of field - Resolution: Wide shots, stable camera ### Parallel Storytelling For multiple characters: - Alternate between POVs - Use matching shots (same composition, different subjects) - Cross-cut during climaxes - Converge visually at resolution ### Symbolic Framing Embed meaning through composition: - Windows/doors: Transition/opportunity - Mirrors: Self-reflection/duality - Heights: Power/status - Shadows: Mystery/threat - Light sources: Hope/clarity ## Integration with LibTV This skill works best when: 1. Script is provided first 2. Character profiles are available 3. Visual style references exist 4. Target platform specifications are known For optimal results, combine with: - Storyboard visualization tools - Voice synthesis for audio previews - Shot list management software - Production scheduling apps ## Version History - **v1.0.0** (2026-07-09): Initial release - Complete storyboard generation framework - Voice direction methodology - Shot progression patterns - Quality checklist - Advanced techniques --- *Generated by Zhao-LibTV-Prompt Skill* *For questions or contributions: https://github.com/Zhao-LibTV/Zhao-LibTV-Prompt*
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