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.
Install command
npx @skill-hub/cli install openclaw-skills-nano-banana-kling-ad-workflow
Repository
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 repositoryBest 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
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.
```