Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Best practices and techniques for writing effective AI video generation prompts. Covers: Veo, Seedance, Wan, Grok, Kling, Runway, Pika, Sora prompting strate...
Best practices and techniques for writing effective AI video generation prompts. Covers: Veo, Seedance, Wan, Grok, Kling, Runway, Pika, Sora prompting strate...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Best practices for writing effective AI video generation prompts via inference.sh.
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.
[Shot Type] + [Subject] + [Action] + [Setting] + [Lighting] + [Style] + [Technical]
"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 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
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
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, film grain, anamorphic lens, letterbox, shallow depth of field, bokeh, 35mm film, color grading, theatrical
minimalist, maximalist, vintage, retro, futuristic, cyberpunk, steampunk, noir, pastel, vibrant, muted colors, high contrast, desaturated
4K, 8K, high resolution, photorealistic, hyperrealistic, ultra detailed, professional, broadcast quality, HDR
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" }'
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" }'
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" }'
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" }'
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 }'
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
Excels at realistic, cinematic content Supports audio generation (Veo 3+) Best with detailed, professional prompts Frame interpolation available in 3.1
Strong at dance and human motion First-frame control available Good for consistent character motion Works well with reference images
Best for image-to-video Animates still images naturally Good motion prediction Works with any image style
Good general-purpose video Configurable duration (5-10s) Creative interpretations Works well with abstract concepts
# 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" }'
# 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
Running Apps - How to run apps via CLI Video Generation Guide - Comprehensive video guide
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.