据 AlphaMoat 统计,截至 2026-09,Nano Banana Kling Ad Workflow 累计下载 2,195 次、获 4 个星标,在全部 5,078 个 AI 技能中排名第 4,293 位,在「设计创意」分类(512 个)中排名第 426 位。
| 平台 | 累计安装 | 累计下载 | 星标 | 评论 |
|---|---|---|---|---|
| ClawHub ↗ | 63 | 2,162 | 3 | - |
| SkillHub ↗ | 172 | 2,195 | 4 | — |
各平台的计数口径不同,统计时间不一致。
主文包括确定广告目标、受众、时长与交付格式,再生成静帧、动画并整理剪辑交接。图像、声音、肖像和品牌素材提交第三方服务前需确认权利和授权;生成费用与质量需要用户审核。 该包提供操作指引,而非可执行的生成命令。先设点数预算上限,导出前检查人物、动作和画面一致性;不保证生成速度或广告效果。
资料发布于 2026-10-27
以下是根据技能文档生成的示例,不代表实际运行结果。
2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。
| 月份 | 累计下载 | 环比 | 星标 |
|---|---|---|---|
| 2026-09 | 2,195 | — | 4 |
| 2026-08 | 2,026 | +7.2% | 4 |
| 2026-07 | 1,890 | +16.3% | 4 |
| 2026-06 | 1,625 | +9.8% | 4 |
| 2026-05 | 1,480 | — | 4 |
| 2026-03 | 1,105 | — | 3 |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。
--- 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
ContextWeave 架构图一键生成
用 Nano Banana Pro 生成或编辑图片的脚本技能。
用 whisper 命令行在本地把音频转写成文字或做翻译的技能。
通过 MCP 服务生成与编辑图表的技能。
面向界面设计的思路与落地建议技能,覆盖布局、交互流程、设计令牌与前端改动。
面向多家视频模型 API 的 AI 视频生成与编排技能。
用 ffmpeg 从视频里取出画面帧,或生成便于快速查看的缩略图。
用本地 Whisper 把音频文件转成文字,模型下载完成后可完全离线运行。
数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。