By gracelunguUpdated 2026-05-11nano-banana-kling-ad-workflow@clawhub_gracelungu/nano-banana-kling-ad-workflow
VideoVisual Assets#Image Generation#Pipeline#Prompt
According to AlphaMoat, as of 2026-09, Nano Banana Kling Ad Workflow has 2,195 downloads and 4 stars — ranked #4,293 of 5,078 AI skills overall, and #426 of 512 in Design & Media.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 63 | 2.2K | 3 | - |
| SkillHub ↗ | 172 | 2.2K | 4 | — |
Platforms count differently and update at different times.
The documentation covers defining ad goals, audience, duration, and delivery format, then generating stills, animating them, and preparing an edit handoff. Confirm rights and authorization before sending images, voices, likenesses, or brand assets to third-party services; users should review generation costs and quality. This package provides guidance rather than executable generation commands. Set a credit ceiling and review identity, motion, and visual consistency before export; generation speed or ad performance is not guaranteed.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 2.2K | — | 4 |
| 2026-08 | 2.0K | +7.2% | 4 |
| 2026-07 | 1.9K | +16.3% | 4 |
| 2026-06 | 1.6K | +9.8% | 4 |
| 2026-05 | 1.5K | — | 4 |
| 2026-03 | 1.1K | — | 3 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 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
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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.