據 AlphaMoat 統計,截至 2026-09,Nano Banana Kling Ad Workflow 累計下載 2,195 次、獲 4 個星標,在全部 5,078 個 AI 技能中排名第 4,293 位,在「設計創意」分類(512 個)中排名第 426 位。
| 平台 | 累計安裝 | 累計下載 | 星標 | 評論 |
|---|---|---|---|---|
| ClawHub ↗ | 63 | 2162 | 3 | - |
| SkillHub ↗ | 172 | 2195 | 4 | — |
各平台的計數口徑不同,統計時間不一致。
主文包括確定廣告目標、受眾、時長與交付格式,再生成靜幀、動畫並整理剪輯交接。圖像、聲音、肖像和品牌素材提交第三方服務前需確認權利和授權;生成費用與品質需要使用者審核。 此套件提供操作指引,而非可執行的生成指令。先設定點數預算上限,匯出前檢查人物、動作與畫面一致性;不保證生成速度或廣告成效。
資料釋出於 2026-10-27
以下是根據技能文件生成的示例,不代表實際執行結果。
2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。
| 月份 | 累計下載 | 環比 | 星標 |
|---|---|---|---|
| 2026-09 | 2195 | — | 4 |
| 2026-08 | 2026 | +7.2% | 4 |
| 2026-07 | 1890 | +16.3% | 4 |
| 2026-06 | 1625 | +9.8% | 4 |
| 2026-05 | 1480 | — | 4 |
| 2026-03 | 1105 | — | 3 |
以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 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 架構圖一鍵生成
用 Nano Banana Pro 生成或編輯圖片的指令碼技能。
用 whisper 命令列工具在本機將音訊轉成文字或進行翻譯。
透過 MCP 服務生成與編輯圖表的技能。
面向介面設計的思路與落地建議技能,覆蓋佈局、互動流程、設計令牌與前端改動。
面向多家影片模型 API 的 AI 影片生成與編排技能。
用 ffmpeg 從影片裡取出畫面幀,或生成便於快速檢視的縮圖。
用本地 Whisper 把音訊檔案轉成文字,模型下載完成後可完全離線執行。
資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。