--- name: nano-banana-kling-ad-workflow description: Recreate low-budget AI video ad workflows using Nano Banana image generation plus Kling 3.0 video synthesis with dialogue, including prompt design, scene planning, cost control, and export handoff. Use when a user wants to produce a cinematic ad quickly (often in a few hours) with a small credit budget, or asks for a Deon-style Nano Banana + Kling pipeline. ---

Nano Banana Kling Ad Workflow

Overview

Build a short ad from scratch using a fast two-stage pipeline: generate stills in Nano Banana, animate them in Kling 3.0, then stitch a publishable cut. Optimize for speed, visual consistency, and low spend.

Workflow

1) Define outcome before generating assets

Capture these constraints first:

• Product or story concept
• Audience and tone
• Target duration (15s, 30s, or 45s)
• Delivery format (X, TikTok, Reels, YouTube)
• Budget ceiling in credits

If missing, ask for only the minimum required details and proceed.

2) Build a shot list

Create 5-9 shots with:

• Shot number
• Scene goal
• Subject + environment
• Camera style
• On-screen line or dialogue intent

Keep each shot prompt short and concrete.

3) Generate base visuals in Nano Banana

For each shot:

• Prompt for one clear hero frame
• Keep recurring anchors stable (character traits, wardrobe, color palette, lens style)
• Generate 2-4 variations max, pick one

If consistency drifts, add explicit anchor text to the next prompt.

4) Animate in Kling 3.0

Import selected stills into Kling 3.0 and add:

• Motion direction (camera push, pan, dolly, parallax)
• Dialogue or narration intent
• Timing per clip (usually 2-5s)

Prefer subtle motion over aggressive movement unless the concept requires action-heavy pacing.

5) Assemble final cut

Sequence clips by narrative flow:

• Hook (first 1-2 shots)
• Value demonstration
• Clear CTA

Add captions if platform autoplay is likely muted.

6) Track cost and output quality

After generation, report:

• Total clips generated
• Credits used and estimated cost
• Final runtime
• Export ratio(s)
• What to improve in next iteration

Prompt pattern

Use this compact prompt shape for each Nano Banana shot:

"[subject], [action], in [environment], [lighting], [camera framing], [style anchors], ultra-clean composition, ad-grade, no text overlays"

Use this compact Kling prompt shape:

"Animate this still with [motion], keep subject identity stable, cinematic realism, [timing], [dialogue/emotion cue], smooth transitions"

Fast defaults

• Runtime target: 20-30 seconds
• Shot count: 6
• Variations per shot: 3
• Clip length: 3-4 seconds
• Revision passes: 1 content pass + 1 polish pass

Failure handling

• If faces drift: repeat identity anchors and reduce motion complexity
• If scenes look noisy: simplify prompts and reduce style stacking
• If cost rises too fast: reduce variations and shorten shot list
• If timeline slips: ship a 15-second cut first, then extend

Deliverable format

When executing this skill, output:

1. Final shot list
2. Prompt set used
3. Generation and edit log
4. Final export summary
5. Next-iteration recommendations