Skill: gracelungu/nano-banana-kling-ad-workflow (version 1.0.0)

--- 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

path: references/source-notes.md
content: # 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.


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