kling-3-prompting
Write better prompts for Kling 3.0 AI video generation. Use when the user wants to create, write, improve, or refine prompts — text-to-video, image-to-video, keyframes, multi-shot sequences, or dialogue scenes.
By aedev-tools · 568 installs
npx skills add aedev-tools/kling-3-prompting-skill --skill kling-3-prompting
Source repository · Upstream listing
Overview
Kling 3.0 is a unified multimodal video model. It understands cinematic direction , not keyword lists. Write prompts like a director — describe what the audience sees, hears, and feels over time.
Core shift: Description → Direction. Think "direct a scene" not "describe an image."
Interactive Builder Workflow
When invoked, guide the user through these steps using AskUserQuestion :
Step 1: Determine Generation Mode
Ask the user which mode:
Text to Video — prompt from scratch
Image to Video — animate a reference image
Multi Shot Sequence — 2 6 shot storyboard (up to 15s)
Keyframe Transition — start frame → end frame with interpolated motion
Step 2: Gather Scene Details
Ask about each element (adapt questions to mode):
Element Question Why it matters
Subject Who/what is the focus? Specific appearance details? Anchors consistency — define distinguishing traits early
Action What happens? Describe the timeline (first → then → finally) Kling 3.0 excels at sequential action over 15s arcs
Environment Where? Be specific (not "a street" but "narrow Tokyo alley, steam from grates") Grounds the scene physically
Camera Shot type and movement? (See camera reference below) Cinematic language produces far better results
Lighting What light sources? Name them specifically "Flickering neon" beats "dramatic lighting"
Mood/Emotion What should the audience feel? Drives color grade, pacing, music
Audio Dialogue? Ambient sound? Music? Kling 3.0 generates native audio + lip sync
Duration How long? (3 15s) Longer = describe progression over time
Aspect Ratio 16:9 / 9:16 / 1:1 / 21:9? 16:9 cinematic, 9:16 social, 21:9 ultra wide
Image to Video: Focus on how the scene evolves from the image — movement, camera motion, environmental change. The model preserves identity/layout from the source.
Keyframes: Ask for start and end frame descriptions. Frames should match in color, style, and lighting. Prompt sparingly — Kling infers motion well.
Multi Shot: Define each shot separately with its own framing, subject, action, and duration. Label shots explicitly.
Step 3: Assemble the Prompt
Use the Master Formula :
Writing rules:
Use cinematic motion verbs: dolly push, whip pan, crash zoom, rack focus, tracking shot — NOT "moves" or "goes"
Name real light sources: neon signs, candlelight, golden hour, LED panels — NOT "dramatic lighting"
Include texture for credibility: grain, lens flares, condensation, fabric sheen, smoke, sweat
Describe temporal flow: beginning → middle → end
Keep to 1 3 rich sentences per shot (specificity length)
For dialogue: use character labels, assign voice tone/emotion, use transitional words ("Immediately," "Pause")
Step 4: Present & Refine
Present the assembled prompt. Ask if they want to:
Adjust any element
Add a negative prompt
Generate variations (different duration, different camera, different mood)
Quick Reference
Camera Movements
Movement Effect Example phrase
Dolly push in Builds intimacy/tension "slow dolly push in toward her face"
Dolly zoom Vertigo/dramatic reveal "dolly zoom creating disorienting depth shift"
Tracking shot Follows subject laterally "camera tracks alongside as she walks"
Whip pan Energy/surprise "whip pan to reveal the door"
Crash zoom Shock/emphasis "sudden crash zoom on the object"
Rack focus Shift attention "rack focus from foreground hand to background figure"
Handheld/shoulder cam Raw/documentary feel "handheld shoulder cam with subtle sway"
Static tripod Composed/observational "locked off static tripod, wide shot"
FPV drone High energy immersion "dynamic FPV drone shot chasing through corridor"
Low angle tracking Heroic/imposing "low angle tracking shot, subject towers above"
Truck left/right Lateral reveal "camera trucks right revealing the cityscape"
Tilt up/down Vertical reveal "slow tilt up from boots to face"
Lens & Film Stock
Phrase Effect
"Shot on 35mm film" Warm grain, organic texture
"Macro 85mm lens" Tight detail, shallow depth of field
"Wide angle steadicam" Smooth, immersive, spatial
"Handheld camcorder" Raw VHS energy, nostalgic
"Anamorphic lens flare" Cinematic horizontal streaks
Lighting
Use specific sources, not adjectives:
"Golden hour sun cutting through dusty warehouse windows"
"Flickering neon casting magenta/cyan across wet pavement"
"Single bare bulb swinging, casting moving shadows"
"Cool blue LED panels reflecting off glass surfaces"
"Candlelight warming skin tones, deep shadows beyond"
Color & Grade
"Desaturated teal grade, crushed blacks"
"Amber nightclub strobe cutting through smoke"
"Cool blue haze filling the corridor"
"Magenta neon reflecting off wet asphalt"
"Overexposed highlights, blown out whites"
Multi Character Dialogue
Rule Do Don't
Name characters [Character A: Silver haired CEO] [Man] says...
Anchor to action Agent slams table. [Agent, angrily]: "Where is it?" Just dialogue without visual action
Assign voice tone [CEO, deep authoritative gravelly voice] Generic "says"
Control timing "Immediately," "Pause," "After a beat" Back to back dialogue without transitions
Multi Shot Structure
Label every shot. Assign durations. Describe framing + subject + motion per shot.
Start & End Frame Tips
Frames should match in color palette, style, and lighting
Identical start/end frames = seamless loop
Prompt sparingly — Kling infers motion between frames well
Simple camera directions: zoom in/out, pan left/right, tilt up/down
5s for dynamic transitions, 10s for complex transformations
Start frame aspect ratio drives the whole clip
Negative Prompts
Use to prevent common AI defaults:
Customize based on scene — remove items that conflict with your intent.
Weak → Strong
Element Weak Strong
Camera "Camera follows person" "Handheld shoulder cam drifts behind subject with subtle sway"
Subject "A woman walking" "Woman in red dress, heels clicking wet cobblestone"
Environment "In a city" "Narrow Tokyo alley, steam from grates, glowing vending machines"
Lighting "Dramatic lighting" "Flickering neon casting magenta/cyan across wet pavement"
Texture "It looks realistic" "Rain beading on leather jacket, condensation on glass, visible breath"
Motion "She walks away" "She turns slowly, hair catches light, disappears around corner"
Common Mistakes
Mistake Fix
Keyword lists instead of scene direction Write like directing a shot: subject + action + camera + environment
Vague motion ("moves," "goes") Use cinematic verbs: dolly, track, whip pan, crash zoom
Generic lighting ("dramatic") Name the source: neon, candle, golden hour, LED panel
Overlong prompts 1 3 rich sentences per shot; specificity length
No temporal progression Describe beginning → middle → end of the shot
Mismatched keyframes Match color, lighting, and style between start/end frames
Unattributed dialogue Label every speaker with name, tone, and emotion
Cramming multi shot into one paragraph Separate and label each shot with duration