SkillHub

nano-banana-kling-ad-workflow

v1.0.0

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 bud...

Sourced from ClawHub, Authored by gracelungu

Installation

Please help me install the skill `nano-banana-kling-ad-workflow` from SkillHub official store. npx skills add gracelungu/nano-banana-kling-ad-workflow

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