Task Router Skill
Task Router
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.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install gracelungu/nano-banana-kling-ad-workflowInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
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.
Capture these constraints first:
If missing, ask for only the minimum required details and proceed.
Create 5-9 shots with:
Keep each shot prompt short and concrete.
For each shot:
If consistency drifts, add explicit anchor text to the next prompt.
Import selected stills into Kling 3.0 and add:
Prefer subtle motion over aggressive movement unless the concept requires action-heavy pacing.
Sequence clips by narrative flow:
Add captions if platform autoplay is likely muted.
After generation, report:
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...
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# 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...
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