# Send Video Prompting Guide to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - Download the package from Yavira. - Extract it into a folder your agent can access. - Paste one of the prompts below and point your agent at the extracted folder. ## Suggested prompts ### New install ```text 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. ``` ### Upgrade existing ```text 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. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "video-prompting-guide", "name": "Video Prompting Guide", "source": "tencent", "type": "skill", "category": "AI 智能", "sourceUrl": "https://clawhub.ai/okaris/video-prompting-guide", "canonicalUrl": "https://clawhub.ai/okaris/video-prompting-guide", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/video-prompting-guide", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=video-prompting-guide", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "SKILL.md" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-04-30T16:55:25.780Z", "expiresAt": "2026-05-07T16:55:25.780Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network", "contentDisposition": "attachment; filename=\"network-1.0.0.zip\"", "redirectLocation": null, "bodySnippet": null }, "scope": "source", "summary": "Source download looks usable.", "detail": "Yavira can redirect you to the upstream package for this source.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/video-prompting-guide" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/video-prompting-guide", "downloadUrl": "https://openagent3.xyz/downloads/video-prompting-guide", "agentUrl": "https://openagent3.xyz/skills/video-prompting-guide/agent", "manifestUrl": "https://openagent3.xyz/skills/video-prompting-guide/agent.json", "briefUrl": "https://openagent3.xyz/skills/video-prompting-guide/agent.md" } } ``` ## Documentation ### 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 ## Trust - Source: tencent - Verification: Indexed source record - Publisher: okaris - Version: 0.1.5 ## Source health - Status: healthy - Source download looks usable. - Yavira can redirect you to the upstream package for this source. - Health scope: source - Reason: direct_download_ok - Checked at: 2026-04-30T16:55:25.780Z - Expires at: 2026-05-07T16:55:25.780Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/video-prompting-guide) - [Send to Agent page](https://openagent3.xyz/skills/video-prompting-guide/agent) - [JSON manifest](https://openagent3.xyz/skills/video-prompting-guide/agent.json) - [Markdown brief](https://openagent3.xyz/skills/video-prompting-guide/agent.md) - [Download page](https://openagent3.xyz/downloads/video-prompting-guide)