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ugc-video-auto

Full UGC ad video pipeline — generates a character image on Higgsfield, then creates a Seedance 2.0 video from it. Orchestrates the complete flow from image prompt to finished UGC video. Use when the user wants to create a UGC ad video end-to-end, or wants to take a generated image from Higgsfield's image tab into video creation. Triggers on "create a UGC video", "make a UGC ad", "UGC pipeline", "turn this into a UGC video", or any request combining image generation with video creation for ads/UGC content. Requires Playwright MCP tools.

DeepseekModel キュレーション済みスキル 品質 優秀 · 78 v1.0.0

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https://deepseekmodel.com/api/download.php?id=akcodez-higgsfield-claude-skills-ugc-video-auto-skill-md&format=skill
ダウンロード .skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能
.skill ファイルの system_prompt フィールドの実際の内容。
name ugc-video-auto description Full UGC ad video pipeline — generates a character image on Higgsfield, then creates a Seedance 2.0 video from it. Orchestrates the complete flow from image prompt to finished UGC video. Use when the user wants to create a UGC ad video end-to-end, or wants to take a generated image from Higgsfield's image tab into video creation. Triggers on "create a UGC video", "make a UGC ad", "UGC pipeline", "turn this into a UGC video", or any request combining image generation with video creation for ads/UGC content. Requires Playwright MCP tools. UGC Video Auto — Full Pipeline via Playwright This skill orchestrates the complete UGC ad video pipeline on Higgsfield: generate a character image → select it for video → add a UGC video prompt → generate a Seedance 2.0 video. All automated via Playwright. Pipeline Overview Step 1: Generate character image → /image/soul-v2 Step 2: Navigate to video page → /create/video?model=seedance_2_0 Step 3: Select image from gallery → Upload dialog → "Image Generations" tab Step 4: Write UGC video prompt → Lexical editor (contenteditable) Step 5: Configure & generate → Click Generate Prerequisites User must be logged in to higgsfield.ai in the Playwright browser session Playwright MCP plugin must be enabled Load each Playwright tool with ToolSearch before first use Input Requirements The user provides: Character description OR a pre-made image prompt (invoke /ugc-hot-girl to generate one) Product/brand context — what the UGC video is advertising Video style — testimonial, product showcase, unboxing, reaction, etc. Optional overrides: Image model : Soul 2.0 (default, best for portraits) Video model : Seedance 2.0 (default) Duration : 5s, 8s (default), 10s Ratio : Auto, 16:9, 9:16 (TikTok/Reels), 1:1 Resolution : 720p (default), 1080p Full Automation Flow Phase 1: Generate the Character Image Step 1.1: Navigate to image generation browser_navigate → url: "https://higgsfield.ai/image/soul-v2" Wait for page load, take a snapshot. Step 1.2: Enter the image prompt Find the textbox (Playwright ID: hf:tour-image-prompt , placeholder: "Describe the scene you imagine"): browser_click → ref: <textbox_ref>, element: "Image prompt textbox" browser_type → ref: <textbox_ref>, text: "<character image prompt>" If the user hasn't provided an image prompt, use /ugc-hot-girl to generate one first. Step 1.3: Generate the image Find the Generate button (shows "Generate XXXX free gens left"): ASK USER FOR CONFIRMATION — this uses credits/free generations. browser_click → ref: <generate_button_ref>, element: "Generate button" Step 1.4: Wait for generation browser_wait_for → time: 20 Take a screenshot. Verify the new image appears as the first item in the History grid. Confirm by checking the first grid element's innerHTML contains an <img> tag with a fresh asset URL. Phase 2: Create the Video from the Generated Image Step 2.1: Navigate to Seedance 2.0 video page browser_navigate → url: "https://higgsfield.ai/create/video?model=seedance_2_0" Wait for page load, take a snapshot. Confirm "Seedance 2.0" appears in the Model button. Step 2.2: Open the upload media dialog Find the upload area — look for generic [cursor=pointer] containing: paragraph: Upload media paragraph: Image, Video or Audio browser_click → ref: <upload_area_ref>, element: "Upload media area" This opens a dialog with tabs: Uploads, Image Generations, Video Generations, Elements, Liked. Step 2.3: Switch to Image Generations tab browser_click → ref: <image_gen_tab_ref>, element: "Image Generations tab" Look for button "Image Generations" in the dialog's tab bar. Step 2.4: Select the generated image The most recently generated image is the first item in the grid. It initially appears as a button "Check eligibility" . Click it: browser_click → ref: <first_image_ref>, element: "First image (most recent generation)" After clicking, the button transforms into a generic [cursor=pointer] with an image preview and a green checkmark — meaning it's selected and eligible. Important : The first "Check eligibility" button in the list is always the most recent image. After clicking, its ref disappears from the snapshot and is replaced by a new generic element. Step 2.5: Close the dialog browser_press_key → key: "Escape" Take a snapshot. Verify: The upload area no longer shows "Upload media" text Instead it shows a generic [cursor=pointer] with nested image elements (48px thumbnails) The old paragraph: Upload media and paragraph: Image, Video or Audio are gone Step 2.6: Clear any existing prompt The video page uses a Lexical rich text editor (contenteditable div), NOT a standard textbox. To clear it: browser_evaluate → function: "() => { const el = document.querySelector('[data-lexical-editor]'); el.focus(); el.click(); }" browser_press_key → key: "Control+a" browser_press_key → key: "Backspace" Take a snapshot. The textbox should now show the placeholder: "Describe your scene in detail. Use @ to reference assets" Step 2.7: Enter the UGC video prompt After clearing, take a snapshot to get the fresh textbox ref. Then type slowly (required for the Lexical editor): browser_type → ref: <textbox_ref>, text: "<UGC video prompt>", slowly: true UGC Video Prompt Templates (pick based on style): Testimonial / Talking Head: The woman from @image1 is talking directly to camera with natural hand gestures, warm golden hour lighting, casual authentic vibe. She speaks enthusiastically, leaning in slightly for emphasis. Soft bokeh background, shallow depth of field. Natural skin texture, realistic lip movement, TikTok UGC testimonial style. Smooth handheld camera, 24fps. Product Showcase: The woman from @image1 holds up a product toward the camera, turning it to show different angles. Excited genuine expression, eyes wide. Ring light illumination, clean background. She points at the product features, nodding enthusiastically. Close-up selfie framing, iPhone-quality video, authentic UGC feel. Reaction / Unboxing: The woman from @image1 opens a package with excited anticipation, pulling out a product and reacting with genuine delight. Surprised expression, mouth open, then breaking into a wide smile. Natural bedroom lighting, casual setting. Handheld camera feel, authentic unboxing energy, TikTok style. Before/After: The woman from @image1 starts looking skeptical, touching her face doubtfully. Then she applies a product, and her expression transforms to amazement, touching her skin in disbelief. Soft ring light, bathroom mirror setting. Split-feel transformation moment, genuine reaction, UGC testimonial. Lifestyle / Day-in-the-Life: The woman from @image1 walks through a bright modern space, casually interacting with a product as part of her routine. Natural morning light, relaxed movement, authentic candid energy. Camera follows with gentle tracking, shallow depth of field. Aspirational but relatable lifestyle content. Step 2.8: Configure video settings (optional) Default settings work well for most UGC: Duration : 8s (good for short-form) Ratio : Auto (or 9:16 for TikTok/Reels) Resolution : 720p To change ratio for TikTok vertical: browser_click → ref: <ratio_button_ref>, element: "Ratio selector" Then select "9:16" from the dropdown. Step 2.9: Generate the video Take a screenshot showing the final form state. ASK USER FOR CONFIRMATION — video generation costs more credits than images. The Generate button shows credit cost (e.g., "Generate 30 20"): browser_click → ref: <generate_button_ref>, element: "Generate video button" Step 2.10: Monitor generation After clicking Generate: The video enters the generation queue Check the History tab for progress Periodically take screenshots to show status Seedance 2.0 videos typically take 1-3 minutes Key Element Patterns Reference Image Generation Page ( /image/soul-v2 ) Element Pattern Prompt textbox textbox with ID hf:tour-image-prompt Model selector group > button containing "Soul 2.0" Aspect ratio button showing "3:4" Resolution button showing "2k" Generate button button "Generate XXXX free gens left" First result First generic child in the History grid Video Creation Page ( /create/video ) Element Pattern Upload area (empty) generic [cursor=pointer] with paragraph: Upload media Upload area (filled) generic [cursor=pointer] with nested image thumbnails, no "Upload media" text Upload dialog dialog with tab bar: Uploads, Image Generations, etc. Image Generations tab button "Image Generations" in dialog First image in gallery First button "Check eligibility" in dialog grid Selected image generic [cursor=pointer] with nested img (replaces Check eligibility button) Prompt editor [data-lexical-editor] contenteditable div Prompt textbox (in snapshot) textbox [active] after focusing the Lexical editor Model button button "Model" containing "Seedance 2.0" Duration button button "Duration" Ratio button button "Auto Ratio" Resolution button button "720p Resolution" Generate button button "Generate XX XX" with credit cost Error Handling Not logged in : Ask user to log in ( ! open https://higgsfield.ai ) Image prompt bar missing : Refresh the page — this is an intermittent platform bug "Check eligibility" doesn't transform : The image may not be compatible with Seedance 2.0. Try a different image or re-generate Lexical editor won't clear : Try triple-clicking to select all, then Backspace. Or use browser_evaluate to clear innerHTML Dialog won't close on Escape : Click outside the dialog area Insufficient credits : Warn the user before generating. Video costs more than images Stale refs : Always take a fresh snapshot before each interaction. Refs change after any page state change Example End-to-End Workflow User: "Create a UGC ad video with a hot girl promoting my new skincare serum" 1. Invoke /ugc-hot-girl → generates beauty/skincare image prompt: "Attractive young woman, early 20s, clear dewy skin, dark brown hair in messy bun... ring light illumination... photorealistic, 4K..." 2. Phase 1 — Image Generation: → Navigate to /image/soul-v2 → Type the image prompt → Confirm with user → Click Generate → Wait 15-20s → Image appears in grid ✓ 3. Phase 2 — Video Creation: → Navigate to /create/video?model=seedance_2_0 → Click upload area → Image Generations tab → Click first image (Check eligibility) → Escape → Image loaded into form ✓ → Clear old prompt → Type UGC testimonial prompt: "The woman from @image1 holds up a small serum bottle, examining it with genuine curiosity. She applies a drop to her fingertip, touches her cheek, and her expression lights up with delight..." → Set ratio to 9:16 for TikTok → Confirm with user → Click Generate → Video generating... done ✓ 4. Report: "Your UGC video is ready! Check the History tab." Pipeline Skills Reference Step Skill What it does 1 /ugc-hot-girl Generates the character image prompt 2 /higgsfield-image-auto Automates just the image generation step 3 /seedance-auto-generate Automates just the video generation step (from local file) Full /ugc-video-auto This skill — runs the entire pipeline end-to-end You can use the individual skills separately, or invoke /ugc-video-auto to run everything in one go.
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フィールド 説明
formatフォーマット識別子(skill/v1)
skill_idスキル固有 ID
nameスキル名
versionバージョン
description説明
categoryカテゴリ(配列)
trigger_wordsトリガーワード
tagsタグ
sourceソース
source_urlソース URL(本ページ)
exported_atエクスポート日時(ダウンロード毎)
system_promptシステムプロンプト本文
model_configモデル設定:provider / model / temperature / max_tokens / top_p
examplesサンプル
install_guide各プラットフォームの導入説明(Coze / Dify / Claude / カスタム)
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