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Video Prompting Guide

Best practices and techniques for writing effective AI video generation prompts. Covers: Veo, Seedance, Wan, Grok, Kling, Runway, Pika, Sora prompting strate...

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Best practices and techniques for writing effective AI video generation prompts. Covers: Veo, Seedance, Wan, Grok, Kling, Runway, Pika, Sora prompting strate...

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  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
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Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

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Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md

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Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
0.1.5

Documentation

ClawHub primary doc Primary doc: SKILL.md 23 sections Open source page

Video Prompting Guide

Best practices for writing effective AI video generation prompts via inference.sh.

Quick Start

curl -fsSL https://cli.inference.sh | sh && infsh login # Well-structured video prompt infsh app run google/veo-3-1-fast --input '{ "prompt": "Cinematic tracking shot of a red sports car driving through Tokyo at night, neon lights reflecting on wet streets, rain falling, 4K, shallow depth of field" }' Install note: The install script only detects your OS/architecture, downloads the matching binary from dist.inference.sh, and verifies its SHA-256 checksum. No elevated permissions or background processes. Manual install & verification available.

Prompt Structure Formula

[Shot Type] + [Subject] + [Action] + [Setting] + [Lighting] + [Style] + [Technical]

Example Breakdown

"Slow motion close-up of coffee being poured into a white ceramic cup, steam rising, morning sunlight streaming through window, warm color grading, cinematic, 4K, shallow depth of field" Shot Type: Slow motion close-up Subject: Coffee Action: Being poured Setting: White ceramic cup, window Lighting: Morning sunlight Style: Warm color grading, cinematic Technical: 4K, shallow depth of field

Shot Types

Shot TypeDescriptionUse ForWide shotShows entire sceneEstablishing locationMedium shotWaist-up framingConversations, actionsClose-upFace or detailEmotion, product detailExtreme close-upSingle featureDrama, textureAerial shotBird's eye viewLandscapes, scaleLow angleCamera looking upPower, grandeurHigh angleCamera looking downVulnerabilityDutch angleTilted cameraUnease, tensionPOV shotFirst person viewImmersion

Camera Movements

MovementDescriptionEffectTracking shotCamera follows subjectDynamic, engagingDolly in/outCamera moves toward/awayFocus, revealPanHorizontal rotationSurvey sceneTiltVertical rotationReveal heightCrane shotVertical + horizontalDramatic revealHandheldSlight shakeRealism, urgencySteadicamSmooth followingProfessional, cinematicZoomLens zoom in/outQuick focus changeStaticNo movementContemplation, stability

Lighting Keywords

KeywordEffectGolden hourWarm, soft, romanticBlue hourCool, moody, twilightHigh keyBright, minimal shadowsLow keyDark, dramatic shadowsRim lightingSubject outlined with lightBacklitLight from behind subjectSoft lightingGentle, flatteringHard lightingSharp shadows, contrastNeonColorful, urban, cyberpunkNatural lightingRealistic, documentary

Cinematic Styles

cinematic, film grain, anamorphic lens, letterbox, shallow depth of field, bokeh, 35mm film, color grading, theatrical

Visual Aesthetics

minimalist, maximalist, vintage, retro, futuristic, cyberpunk, steampunk, noir, pastel, vibrant, muted colors, high contrast, desaturated

Quality Keywords

4K, 8K, high resolution, photorealistic, hyperrealistic, ultra detailed, professional, broadcast quality, HDR

Product Demo

infsh app run google/veo-3-1-fast --input '{ "prompt": "Smooth tracking shot around a sleek smartphone on a white pedestal, soft studio lighting, product photography style, reflections on surface, 4K, shallow depth of field" }'

Nature Documentary

infsh app run google/veo-3-1 --input '{ "prompt": "Slow motion extreme close-up of a hummingbird hovering at a red flower, wings in motion blur, shallow depth of field, golden hour lighting, National Geographic style" }'

Urban Lifestyle

infsh app run google/veo-3 --input '{ "prompt": "Tracking shot following a cyclist through busy city streets, morning rush hour, natural lighting, handheld camera feel, documentary style, authentic and candid" }'

Food Content

infsh app run bytedance/seedance-1-5-pro --input '{ "prompt": "Close-up of chocolate sauce being drizzled over ice cream, slow motion, steam rising, soft lighting, food photography style, appetizing, commercial quality" }'

Tech/Futuristic

infsh app run xai/grok-imagine-video --input '{ "prompt": "Futuristic control room with holographic displays, camera slowly pans across the space, blue and cyan lighting, sci-fi atmosphere, Blade Runner aesthetic, 4K", "duration": 5 }'

Common Mistakes to Avoid

MistakeProblemBetter ApproachToo vague"A nice video"Specify shot, subject, styleToo complexMultiple scenesOne scene per promptNo motionStatic descriptionInclude camera movement or actionConflicting styles"Minimalist maximalist"Choose one aestheticNo lightingUndefined moodSpecify lighting conditions

Google Veo

Excels at realistic, cinematic content Supports audio generation (Veo 3+) Best with detailed, professional prompts Frame interpolation available in 3.1

Seedance

Strong at dance and human motion First-frame control available Good for consistent character motion Works well with reference images

Wan 2.5

Best for image-to-video Animates still images naturally Good motion prediction Works with any image style

Grok

Good general-purpose video Configurable duration (5-10s) Creative interpretations Works well with abstract concepts

Workflow: Iterative Prompting

# 1. Start with basic prompt infsh app run google/veo-3-1-fast --input '{ "prompt": "A woman walking through a forest" }' # 2. Add specificity infsh app run google/veo-3-1-fast --input '{ "prompt": "Medium tracking shot of a woman in a red dress walking through an autumn forest" }' # 3. Add style and technical details infsh app run google/veo-3-1-fast --input '{ "prompt": "Cinematic medium tracking shot of a woman in a flowing red dress walking through an autumn forest, golden hour sunlight filtering through leaves, shallow depth of field, film grain, 4K" }'

Related Skills

# Generate videos npx skills add inference-sh/skills@ai-video-generation # Google Veo specific npx skills add inference-sh/skills@google-veo # Generate images for image-to-video npx skills add inference-sh/skills@ai-image-generation # General prompt engineering npx skills add inference-sh/skills@prompt-engineering # Full platform skill npx skills add inference-sh/skills@inference-sh Browse all video apps: infsh app list --category video

Documentation

Running Apps - How to run apps via CLI Video Generation Guide - Comprehensive video guide

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

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Package contents

Included in package
1 Docs
  • SKILL.md Primary doc