🧪 Skills

Nano Banana Kling Ad Workflow

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. Us

v1.0.0
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Description


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

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Compatible Platforms

Pricing

Free

Related Configs