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By Dave AIDave AI original
MIT · FreeView prompt
Installable skillMIT
Video Prompt Engineering Skill
Optimize prompts for AI video generation platforms including Sora, Runway, Pika, and Kling
instructions.md
--- name: video-prompt-engineering id: SK-FTV-006 version: 1.0.0 description: Optimize prompts for AI video generation platforms including Sora, Runway, Pika, and Kling specialization: film-tv-production graph: domains: [domain:arts-culture] skillAreas: [skill-area:prompt-engineering, skill-area:video-processing, skill-area:media-encoding] roles: [role:creative-director, role:media-engineer] --- # Video Prompt Engineering Skill ## Purpose Create optimized prompts for AI video generation platforms that produce cinematic, production-quality footage. These prompts must communicate action, camera movement, timing, and style in a format that translates across different AI platforms. ## Universal Prompt Structure ``` [SCENE SETUP] + [CHARACTER/SUBJECT] + [ACTION SEQUENCE] + [CAMERA MOVEMENT] + [LIGHTING/ATMOSPHERE] + [STYLE/AESTHETIC] ``` ### Component Details | Component | Content | Example | |-----------|---------|---------| | Scene Setup | Location, time, environment | "A rain-soaked Tokyo street at night" | | Subject | Who/what appears | "A woman in a red coat" | | Action | What happens (sequential) | "walks forward, stops, turns to look back" | | Camera | Movement and framing | "slow tracking shot, eye level" | | Lighting | Light sources, mood | "neon signs reflecting on wet pavement" | | Style | Visual aesthetic | "cinematic, blade runner aesthetic" | ## Platform-Specific Optimization ### Sora (OpenAI) **Strengths:** - Complex scenes - Multiple subjects - Consistent physics - Long duration **Prompt Style:** ``` Natural language, paragraph format. Describe the scene as if telling a story. Include subtle details about atmosphere. Mention specific camera movements by name. Example: "A close-up tracking shot follows a single snowflake as it falls through the air, passing snow-covered pine branches and eventually landing on a red mitten. The camera holds on the crystalline structure of the snowflake for a beat before it begins to melt. Soft, diffused winter light. Shallow depth of field with gentle bokeh in the background." ``` ### Runway Gen-3 **Strengths:** - Motion control - Style transfer - Consistent aesthetics - Subject coherence **Prompt Style:** ``` Structured, detailed prompts. Specify motion types explicitly. Reference camera movements precisely. Include duration indicators. Example: "Cinematic shot, slow motion. A detective in a trench coat walks through a crowded train station. Camera dollies backward maintaining medium shot. People blur past in the foreground. Harsh overhead lighting creates deep shadows. 1940s noir aesthetic. 4 seconds." ``` ### Pika **Strengths:** - Quick generation - Image-to-video - Style consistency - Character animation **Prompt Style:** ``` Concise, focused prompts. One primary action per prompt. Strong style keywords. Clear motion direction. Example: "Close-up of woman's face, wind blowing through hair, looking off camera left, soft golden hour lighting, cinematic film grain, subtle movement" ``` ### Kling **Strengths:** - Longer duration - Complex action - Multiple subjects - Realistic motion **Prompt Style:** ``` Detailed action sequences. Step-by-step motion description. Clear spatial relationships. Timing indications. Example: "A chef in a professional kitchen. Wide shot. He tosses vegetables in a wok, flames rise dramatically (2 sec), plates the dish with precise movements (3 sec), wipes his brow and smiles at camera (2 sec). Warm kitchen lighting, steam rising, professional quality." ``` ## Camera Movement Vocabulary ### Static Shots ``` locked off, tripod, stable, still camera ``` ### Movement Types ``` - PAN: horizontal pivot (pan left, pan right) - TILT: vertical pivot (tilt up, tilt down) - DOLLY: camera moves (dolly in, dolly out, dolly alongside) - TRACKING: follows subject (tracking shot, follow shot) - CRANE: vertical lift (crane up, crane down) - STEADICAM: smooth handheld (steadicam walk, floating camera) - HANDHELD: naturalistic shake - ZOOM: lens change (slow zoom, crash zoom) - ORBIT: circles subject (360 orbit, arc shot) ``` ### Speed Modifiers ``` slow, gentle, smooth, quick, whip, crash, gradual ``` ## Action Description ### Effective Action Verbs ``` walks → strides, shuffles, marches, stumbles runs → sprints, jogs, dashes, bolts looks → glances, stares, gazes, peers turns → spins, pivots, rotates, wheels around picks up → grabs, snatches, lifts, retrieves ``` ### Timing Language ``` slowly, gradually, suddenly, immediately, after a beat, in one motion, over X seconds ``` ## Scene Prompt Template ```markdown ## Scene [Number]: [Title] ### Setup - **Location:** [Specific environment description] - **Time:** [Time of day, lighting conditions] - **Atmosphere:** [Weather, mood, ambience] ### Subject - **Character(s):** [Who appears, wardrobe, positioning] - **Key Props:** [Important objects in scene] ### Action Sequence 1. [First action with timing] 2. [Second action with timing] 3. [Third action with timing] ### Camera - **Shot Type:** [Size and angle] - **Movement:** [Specific movement description] - **Speed:** [Movement speed] ### Technical - **Duration:** [Total seconds] - **Aspect Ratio:** [16:9, 2.39:1, etc.] - **Style:** [Visual aesthetic reference] ### Platform Prompts **Universal/Sora:** [Paragraph-form natural language prompt] **Runway:** [Structured prompt with style keywords] **Pika:** [Concise action-focused prompt] ### Negative Prompt [What to avoid: jittery motion, morphing, artifacts, etc.] ``` ## Style Keywords ### Cinematic Quality ``` cinematic, film grain, anamorphic, 35mm film, professional quality, movie scene, theatrical ``` ### Lighting ``` golden hour, blue hour, harsh shadows, soft light, rim lighting, volumetric, neon glow, practical lighting ``` ### Motion ``` smooth motion, fluid movement, realistic physics, natural motion, consistent speed, seamless ``` ### Atmosphere ``` atmospheric, moody, dramatic, serene, tense, energetic, contemplative, mysterious ``` ## Common Issues & Solutions | Issue | Solution | |-------|----------| | Subject morphing | Describe subject consistently throughout | | Jittery motion | Add "smooth" and "fluid" keywords | | Wrong timing | Specify durations explicitly | | Inconsistent style | Use strong style anchors | | Background issues | Describe environment in detail | | Physics problems | Describe motion realistically | ## Quality Checklist - [ ] Scene environment clearly described - [ ] Subject/character specified in detail - [ ] Action sequence is logical and timed - [ ] Camera movement explicitly stated - [ ] Duration specified - [ ] Style/aesthetic defined - [ ] Platform-optimized version created - [ ] Negative prompts included where needed--- name: video-prompt-engineering id: SK-FTV-006 version: 1.0.0 description: Optimize prompts for AI video generation platforms including Sora, Runway, Pika, and Kling specialization: film-tv-production graph: domains: [domain:arts-culture] skillAreas: [skill-area:prompt-engineering, skill-area:video-processing, skill-area:media-encoding] roles: [role:creative-director, role:media-engineer] --- # Video Prompt Engineering Skill ## Purpose Create optimized prompts for AI video generation platforms that produce cinematic, production-quality footage. These prompts must communicate action, camera movement, timing, and style in a format that translates across different AI platforms. ## Universal Prompt Structure ``` [SCENE SETUP] + [CHARACTER/SUBJECT] + [ACTION SEQUENCE] + [CAMERA MOVEMENT] + [LIGHTING/ATMOSPHERE] + [STYLE/AESTHETIC] ``` ### Component Details | Component | Content | Example | |-----------|---------|---------| | Scene Setup | Location, time, environment | "A rain-soaked Tokyo street at night" | | Subject | Who/what appears | "A woman in a red coat" | | Action | What happens (sequential) | "walks forward, stops, turns to look back" | | Camera | Movement and framing | "slow tracking shot, eye level" | | Lighting | Light sources, mood | "neon signs reflecting on wet pavement" | | Style | Visual aesthetic | "cinematic, blade runner aesthetic" | ## Platform-Specific Optimization ### Sora (OpenAI) **Strengths:** - Complex scenes - Multiple subjects - Consistent physics - Long duration **Prompt Style:** ``` Natural language, paragraph format. Describe the scene as if telling a story. Include subtle details about atmosphere. Mention specific camera movements by name. Example: "A close-up tracking shot follows a single snowflake as it falls through the air, passing snow-covered pine branches and eventually landing on a red mitten. The camera holds on the crystalline structure of the snowflake for a beat before it begins to melt. Soft, diffused winter light. Shallow depth of field with gentle bokeh in the background." ``` ### Runway Gen-3 **Strengths:** - Motion control - Style transfer - Consistent aesthetics - Subject coherence **Prompt Style:** ``` Structured, detailed prompts. Specify motion types explicitly. Reference camera movements precisely. Include duration indicators. Example: "Cinematic shot, slow motion. A detective in a trench coat walks through a crowded train station. Camera dollies backward maintaining medium shot. People blur past in the foreground. Harsh overhead lighting creates deep shadows. 1940s noir aesthetic. 4 seconds." ``` ### Pika **Strengths:** - Quick generation - Image-to-video - Style consistency - Character animation **Prompt Style:** ``` Concise, focused prompts. One primary action per prompt. Strong style keywords. Clear motion direction. Example: "Close-up of woman's face, wind blowing through hair, looking off camera left, soft golden hour lighting, cinematic film grain, subtle movement" ``` ### Kling **Strengths:** - Longer duration - Complex action - Multiple subjects - Realistic motion **Prompt Style:** ``` Detailed action sequences. Step-by-step motion description. Clear spatial relationships. Timing indications. Example: "A chef in a professional kitchen. Wide shot. He tosses vegetables in a wok, flames rise dramatically (2 sec), plates the dish with precise movements (3 sec), wipes his brow and smiles at camera (2 sec). Warm kitchen lighting, steam rising, professional quality." ``` ## Camera Movement Vocabulary ### Static Shots ``` locked off, tripod, stable, still camera ``` ### Movement Types ``` - PAN: horizontal pivot (pan left, pan right) - TILT: vertical pivot (tilt up, tilt down) - DOLLY: camera moves (dolly in, dolly out, dolly alongside) - TRACKING: follows subject (tracking shot, follow shot) - CRANE: vertical lift (crane up, crane down) - STEADICAM: smooth handheld (steadicam walk, floating camera) - HANDHELD: naturalistic shake - ZOOM: lens change (slow zoom, crash zoom) - ORBIT: circles subject (360 orbit, arc shot) ``` ### Speed Modifiers ``` slow, gentle, smooth, quick, whip, crash, gradual ``` ## Action Description ### Effective Action Verbs ``` walks → strides, shuffles, marches, stumbles runs → sprints, jogs, dashes, bolts looks → glances, stares, gazes, peers turns → spins, pivots, rotates, wheels around picks up → grabs, snatches, lifts, retrieves ``` ### Timing Language ``` slowly, gradually, suddenly, immediately, after a beat, in one motion, over X seconds ``` ## Scene Prompt Template ```markdown ## Scene [Number]: [Title] ### Setup - **Location:** [Specific environment description] - **Time:** [Time of day, lighting conditions] - **Atmosphere:** [Weather, mood, ambience] ### Subject - **Character(s):** [Who appears, wardrobe, positioning] - **Key Props:** [Important objects in scene] ### Action Sequence 1. [First action with timing] 2. [Second action with timing] 3. [Third action with timing] ### Camera - **Shot Type:** [Size and angle] - **Movement:** [Specific movement description] - **Speed:** [Movement speed] ### Technical - **Duration:** [Total seconds] - **Aspect Ratio:** [16:9, 2.39:1, etc.] - **Style:** [Visual aesthetic reference] ### Platform Prompts **Universal/Sora:** [Paragraph-form natural language prompt] **Runway:** [Structured prompt with style keywords] **Pika:** [Concise action-focused prompt] ### Negative Prompt [What to avoid: jittery motion, morphing, artifacts, etc.] ``` ## Style Keywords ### Cinematic Quality ``` cinematic, film grain, anamorphic, 35mm film, professional quality, movie scene, theatrical ``` ### Lighting ``` golden hour, blue hour, harsh shadows, soft light, rim lighting, volumetric, neon glow, practical lighting ``` ### Motion ``` smooth motion, fluid movement, realistic physics, natural motion, consistent speed, seamless ``` ### Atmosphere ``` atmospheric, moody, dramatic, serene, tense, energetic, contemplative, mysterious ``` ## Common Issues & Solutions | Issue | Solution | |-------|----------| | Subject morphing | Describe subject consistently throughout | | Jittery motion | Add "smooth" and "fluid" keywords | | Wrong timing | Specify durations explicitly | | Inconsistent style | Use strong style anchors | | Background issues | Describe environment in detail | | Physics problems | Describe motion realistically | ## Quality Checklist - [ ] Scene environment clearly described - [ ] Subject/character specified in detail - [ ] Action sequence is logical and timed - [ ] Camera movement explicitly stated - [ ] Duration specified - [ ] Style/aesthetic defined - [ ] Platform-optimized version created - [ ] Negative prompts included where needed
COMPATIBILITY & REFERENCES
Platform guidance
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.