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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. 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.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
3,127
Hot score
99
Updated
March 20, 2026
Overall rating
C4.0
Composite score
4.0
Best-practice grade
A88.4

Install command

npx @skill-hub/cli install openclaw-skills-nano-banana-kling-ad-workflow

Repository

openclaw/skills

Skill path: skills/gracelungu/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. 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.

Open repository

Best for

Primary workflow: Research & Ops.

Technical facets: Full Stack, Data / AI, Designer.

Target audience: everyone.

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: openclaw.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install nano-banana-kling-ad-workflow into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/openclaw/skills before adding nano-banana-kling-ad-workflow to shared team environments
  • Use nano-banana-kling-ad-workflow for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

Original source / Raw SKILL.md

---
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


---

## Skill Companion Files

> Additional files collected from the skill directory layout.

### _meta.json

```json
{
  "owner": "gracelungu",
  "slug": "nano-banana-kling-ad-workflow",
  "displayName": "Nano Banana Kling Ad Workflow",
  "latest": {
    "version": "1.0.0",
    "publishedAt": 1770646146960,
    "commit": "https://github.com/openclaw/skills/commit/d3c656a3b720d86a9406acf875980f5002f00645"
  },
  "history": []
}

```

### references/source-notes.md

```markdown
# Source Notes

- X post by @thedeoncardoza: https://x.com/thedeoncardoza/status/2020198376797794634
- Workflow claim in post: generate images in Nano Banana, animate in Kling 3.0 with dialogue.
- Claimed cost profile in post context: roughly low double-digit dollars depending on Kling credits.

This skill generalizes the workflow into a reusable production checklist for OpenClaw users.

```

nano-banana-kling-ad-workflow | SkillHub