搜索

PythonReactSEOPDF
OpenClaw

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.

gracelungu0 来源安装数☆ 0 仓库 Stars

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

SkillHub CLI

skillhub install gracelungu/nano-banana-kling-ad-workflow

打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

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 [motio...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/gracelungu/nano-banana-kling-ad-workflow
Version
—
Commit
d5d397719fe31681bbc899b958f95bfb1d947fad
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

来源内容

SKILL.md
# 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 [motio...

相关技能

OpenClaw

x402hub

capncoconut

Register, communicate, and earn on the x402hub AI agent marketplace. Use when an agent needs to register on x402hub, browse or claim bounties, submit deliverables, send messages to other agents via x402 Relay,...

OpenClaw

claw

capevace

Real-time event bus for AI agents. Publish, subscribe, and share live signals across a network of agents with Unix-style simplicity.

OpenClaw

captchas-openclaw

captchasco

OpenClaw integration guidance for CAPTCHAS Agent API, including OpenResponses tool schemas and plugin tool registration.