Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · AI
Seedance
Generate detailed, production-ready cinematic video prompts following Seedance 2.0’s strict Subject-Action-Camera-Style-Audio-Constraints format for AI video...
skill openclawclawhub Free
Generate detailed, production-ready cinematic video prompts following Seedance 2.0’s strict Subject-Action-Camera-Style-Audio-Constraints format for AI video...
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- 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.
New install
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
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.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- honeybee1130
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Seedance 2.0 Prompt Generator
Generate production-ready prompts for ByteDance's Seedance 2.0 AI video model.
Prompt Architecture
Every prompt follows this strict order. Deviating causes drift. Subject → Action → Camera → Style → Audio → Constraints
1. Subject (WHO/WHAT)
One primary subject. Multiple subjects split model attention. Include: age/material, clothing, distinguishing features Example: "Wooden Koda creature with glowing orange eyes, green gems on head, purple cape"
2. Action (WHAT HAPPENS)
Specific verb phrases, present tense Describe beat by beat for complex sequences One action per beat. Chain beats chronologically. Example: "walks to cliff edge, pauses, turns head slowly to camera, cape billowing"
3. Camera (HOW WE SEE IT)
Shot size FIRST: wide / medium / close-up / extreme close-up Movement SECOND: dolly-in, dolly-out, track left/right, crane up/down, pan, tilt, handheld, gimbal, locked-off Angle: eye level, low angle, high angle, bird's eye, Dutch Lens feel: wide (24-28mm), normal (35-50mm), telephoto (85mm+) ONE verb per shot. Compound moves = separate beats: "Start: slow dolly-in. Then: gentle pan right for final 2s" Shot Cheat Sheet: ShotUsePair WithWideEstablish space/contextSlow dolly, locked-offMediumSubject + context, dialogueHandheld (personal), gimbal (polished)Close-upDetail, emotionTiny push-in, avoid pansTrackingMovement, energyLateral follow, side profile
4. Style (THE LOOK)
ONE visual anchor > six adjectives Lighting: key light type, time of day, practical sources Color treatment: muted/saturated/monochrome/specific palette Texture: film grain, clean digital, anamorphic, etc. Reference format: "[film/artist/era] aesthetic"
5. Audio (WHAT WE HEAR)
Seedance 2.0 generates dual-channel stereo audio Specify: background music genre, environmental sounds, dialogue/VO, silence Audio syncs to visual action automatically Example: "ambient wind, distant thunder, no music, footsteps on stone"
6. Constraints (GUARDRAILS)
Ban list: no text overlays, no extra characters, no snap zooms, no watermarks Timing: hold frames, beat durations, total length (5s or 10s for testing, 15s max) Consistency: "maintain character identity throughout", "no morphing" Physics: "realistic cloth physics", "gravity-accurate"
Reference System (@Tags)
When user provides images/videos, use @tags: @Image1, @Image2, etc. for uploaded images @Video1, @Video2, etc. for uploaded videos @Audio1, etc. for uploaded audio Usage patterns: Character identity: "@Image1 is the main character" First/last frame: "@Image1 as first frame, @Image2 as last frame" Motion transfer: "@Image1 performs the dance from @Video1" Style reference: "match the color palette of @Image3" Multi-reference: up to 9 images + 3 videos + 3 audio clips
Cinematic Scene
[Scene type] style. [Subject with details]. [Action beat 1], [action beat 2], [action beat 3]. [Camera: shot size], [movement], [angle], [lens feel]. [Lighting description], [color treatment], [texture/grain]. [Audio: music/sfx/ambience]. [Constraints: bans, timing, consistency notes].
Multi-Shot Narrative
Shot 1: [Wide/establishing]. [Scene description]. [Camera movement]. [Duration]. Shot 2: [Medium/close]. [Character action]. [Camera movement]. [Duration]. Shot 3: [Close-up/detail]. [Emotional beat]. [Camera movement]. [Duration]. [Overall style], [color grade], [audio design]. [Constraints].
Action Sequence
[Genre] action sequence. [Setup description]. Beat 1: [Action], [camera follows with movement type]. Beat 2: [Reaction/counter], [cut to shot size], [slow motion if needed]. Beat 3: [Resolution], [camera pulls to reveal]. [Style: reference film/show]. [Audio: impact sounds, score]. [Constraints: physics accuracy, no artifacts].
Negative Prompt Checklist (pick 3-5 per generation)
Visual noise: no text overlays, no watermarks, no floating UI, no lens flares Identity drift: no extra characters, no crowd, no mirrors reflecting others Camera chaos: no snap zooms, no whip pans, no Dutch angles, no jump cuts Body artifacts: no extra fingers, no deformed hands, no warped objects, no melting edges Branding: no logos, no labels, no recognizable brands Color: no neon lighting, no heavy teal/orange, no cartoon saturation Environment: no rain/fog/smoke unless stated, no confetti, no dust particles
Advanced: Clean High-Motion Technique
Learned from real-world results. These techniques produce sharp, blur-free motion even at extreme speed.
The Continuous Shot Lock
Declare "single continuous shot" upfront — forces temporal coherence, prevents inter-scene interpolation artifacts The model treats the entire generation as one fluid motion path instead of stitched segments
Physics-Motivated Camera
Every camera move needs a VERB with physical motivation: dive, slingshot, whip, dart, blast Never say "dynamic camera" — say WHY the camera moves (following subject, reacting to explosion, releasing into reveal) Camera attached to subject ("lock-on," "staying glued") = subject stays sharp because relative motion is zero
Environmental Anchoring
Scatter static reference geometry throughout: walls, arches, furniture, hanging objects The model needs stable background to render motion AGAINST — parallax creates perceived speed without subject blur Static objects streaking past a centered subject = clean speed
Scale Progression Arc
Structure as Macro → Micro → Macro (wide establish → tight detail → wide reveal) Gives model clear resolution targets at each stage — doesn't try to render everything at once The "reveal" at the end (pulling wide after sustained close action) creates cinematic payoff
Sensory Render Instructions (Not Mood Words)
Replace adjectives with computable effects: "heat haze" not "hot," "grit snapping off ledge" not "dusty," "mist turning into rainbow" not "magical" Each detail should be something the model can physically simulate
Rhythm Through Verbs
Pacing lives in action chain length, not "hold for Xs" timers Quick beat: "snaps a last-inch swerve" (short clause = fast) Sustained beat: "threads through hanging laundry lines and open windows in one fluid line" (long clause = flowing) Climax: contrast — "sudden calm" after chaos = tension release
Reference Prompt (Proven Clean High-Motion)
Speeder chase across a cliff city (single continuous shot) From a monumental cliffside city carved into stone, the camera dives toward a tiny streak of light ripping along a narrow ledge-road. Lock-on: a speeder hugging the wall at insane speed. The camera slingshots ahead, whips back, then drops tight to the rear thrusters: heat haze, grit snapping off the ledge, warning lights flashing. A collapsing balcony rains debris; the rider snaps a last-inch swerve under a falling arch, then threads through hanging laundry lines and open windows in one fluid line. The camera darts through the same openings, staying glued to the motion. One final bend and sudden calm: the camera blasts outward into a reveal of the city opening onto a boundless waterfall-fed valley, mist turning into rainbow.
Pro Tips
High-res references — 2K/4K input images = better output. Blurry in = blurry out Test at 5s first — iterate fast, extend to 10-15s once the motion is right One change at a time — don't rewrite the whole prompt on a miss, tweak one element Creativity/Consistency sliders — 60% consistency / 40% creativity is the sweet spot Beat timing — write "hold for 2s" or "pause 1s" to control pacing Compound camera = separate beats — never jam two movements in one clause Style anchor > adjective soup — "Blade Runner 2049 aesthetic" > "cinematic dark moody neon futuristic" Environmental audio — even without dialogue, specify ambient sounds for immersion
⚠️ Content Policy Rules (CRITICAL)
Seedance is a video diffusion model with no internet access. It does not know: "Otherside" — means nothing to it "BAYC," "Koda," "Other Games" — proprietary names get flagged Gaming/metaverse/NFT terminology — triggers content moderation Crowd scenes — flagged automatically Any brand, game title, or IP name The rule: Never use brand names. Describe what you see, not what it's called.
Translation Layer — Concept → Visual Description
What you meanWhat to write in the promptOtherside world"alien landscape with bioluminescent terrain, floating rock formations, purple and teal crystal growths, twin moons visible through violet sky"Otherside biome"ancient stone ruins overtaken by glowing fungal growth, rivers of liquid light flowing through cracked earth"Otherside portal"swirling circular energy vortex of purple and gold light, crackling at the edges, suspended in midair"Koda character"small wooden creature with bark-textured skin, glowing amber eyes in a dark hollow face, green teardrop gems across the top of its head, dark feathered collar, flowing purple cape, small dark armored clawed hands, chibi proportions"Other Games event"large gathering of stylized 3D avatar characters in a glowing arena, spotlights, festive atmosphere" (avoid "crowd" — use "scattered figures" or "a handful of characters")Gaming/metaverseUse: "virtual world," "digital realm," "fantastical landscape," "animated environment"
Banned Words (will trigger rejection)
Otherside, Yuga, BAYC, Koda, ApeCoin, NFT, metaverse, web3, blockchain, cryptocurrency crowd, mob, large group, mass of people Any real brand name, game title, or IP
Koda-Specific Prompts (Other Games IP)
When generating Koda content: NEVER say "Koda" — describe the character visually every time Use: "small wooden creature with bark-textured skin, glowing amber eyes in a dark hollow face, green teardrop gems across the top of its head, dark feathered collar, flowing purple cape, small dark armored clawed hands, chibi proportions" NEVER say "Otherside" — describe the environment visually Use: "alien landscape with bioluminescent terrain, floating rock formations, purple and teal crystal growths" Maintain character consistency across shots Always provide Honey B's Koda image as @Image1 for I2V generations (best result) Test at 5s first to confirm character renders correctly before extending
Platform Access
Jimeng AI (即梦): jimeng.jianying.com → Video Generation → Seedance 2.0 Doubao App: dialogue box → Seedance 2.0 → select 2.0 model Volcano Engine: experience center → Doubao-Seedance-2.0
When User Asks for a Prompt
Ask what scene/concept they want (or use their description) Determine: T2V (text only), I2V (image + text), or R2V (multi-reference) Pick the right template Fill in all 6 layers (subject → constraints) Add 3-5 relevant negative constraints Output the final prompt ready to paste Suggest aspect ratio (16:9 cinematic, 9:16 social, 1:1 square) Suggest starting duration (5s test → extend)
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md