# Crun Url Promo Generator

> Generate promotional marketing images (posters, banners, ad graphics, social media posts) or promotional video ads (product showcase videos, brand commercial clips, ad reels) directly from a website URL, product link, SaaS landing page, store page, or article link using Crun AI image/video models. Triggers on requests like generating promotional poster/banner/video from URL, web link to ad media, product link promo video, URL to marketing poster, website to promotional video, webpage ad generator — even without naming Crun or a model.

- Skill: `crunteam/crun-url-promo-generator` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add crunteam/crun-url-promo-generator`
- Raw SKILL.md: https://api.skillmd.com/api/skills/crunteam/crun-url-promo-generator/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Marketing & Growth
- Author: CrunTeam (https://skillmd.com/u/crunteam)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/crunteam/crun-url-promo-generator

---


# Crun URL Promotional Media Generator

Use this skill to extract key selling points, product highlights, and brand aesthetics from a webpage URL (e.g., e-commerce product link, SaaS landing page, store homepage, article link) and transform them into professional AI promotional images or promotional videos using Crun image/video models.

Use `../../../runtime/crun_cli.py`, `../../../catalog/models.json`, and the shared child skills:

- `../../crun-model-router/SKILL.md` — model routing & live schema inspection
- `../../crun-account-credits/SKILL.md` — balance & affordability estimation
- `../../crun-task-runner/SKILL.md` — task creation, monitoring, recovery, result delivery (the authority)

---

## Trigger

Activate for any request involving: generating promotional images, posters, ad graphics, or video ads from a URL or web link — e.g., `crun-url-promo-generator`, website link to poster, product link to promo video, URL to marketing image, web page to video ad, link to promotional clip — even if the user never mentions "Crun" or a specific model name.

---

## Execution Workflow

```text
[ User Request ] (URL + Optional Additional Notes/Preferences)
    │
    ├── 1. URL Analysis & Content Extraction
    │       ├─ Extract page title, product name, core selling points, key visual elements & color tone
    │       └─ Extract product image/logo (if accessible) → Upload: python <runtime>/crun_cli.py upload <local-file>
    │
    ├── 2. Media Type & Style Resolution
    │       ├─ Resolve Output Type: Promotional Image (Poster / Graphic) vs Promotional Video (Commercial / Ad Clip)
    │       ├─ Resolve Visual Style & Aspect Ratio (Interactive AskUserQuestion if unspecified)
    │       └─ Synthesize structured visual & narrative prompts (English)
    │
    ├── 3. Model Routing & Schema Inspection
    │       ├─ Pick image model (T2I/I2I) or video model (T2V/I2V) based on media type & reference availability
    │       └─ Inspect live schema: python <runtime>/crun_cli.py models describe --model <model>
    │
    ├── 4. Estimate & Confirmation Gate
    │       ├─ Estimate credits (crun-account-credits): task estimate --model <model> --input-file <input.json>
    │       └─ Present extracted selling points & task summary → Require explicit user OK before spending
    │
    └── 5. Task Creation & Result Delivery (crun-task-runner)
            ├─ Create task: python <runtime>/crun_cli.py task create --model <model> --input-file <input.json>
            ├─ Poll status: python <runtime>/crun_cli.py task wait --task-id <task_id>
            └─ Deliver local media path & inline image/video preview
```

---

## Step 1 — URL Analysis & Content Extraction

1. **Extract Webpage Information**:
   Use web browsing or search capabilities (`read_url_content`, `search_web`) to read the target URL's content.
   - **Product / Brand Name**: Identify the primary subject or service name.
   - **Core Selling Points**: Extract 2–4 key features, benefits, or value propositions (e.g., "AI-powered", "Ultra lightweight", "24/7 battery life", "Premium organic ingredients").
   - **Visual Tone & Theme**: Identify the visual style of the brand/product (e.g. minimalist high-tech, luxury elegance, vibrant energy, eco-friendly natural).
   - **Product Imagery / Logo**: If product key visual images or logos are present, fetch/upload them via `crun_cli.py upload <file>` to obtain a Crun `file_url` for image-edit (I2I) or image-to-video (I2V) workflows.

2. **Fallback for Inaccessible URLs**:
   If fetching the URL directly fails (e.g., anti-scraping or paywall), ask the user for a quick text snippet, screenshot, or product image, and proceed seamlessly without halting the workflow.

---

## Step 2 — Media Type, Style & Format Resolution

If the user did not specify the output media type, aspect ratio, or style in their request, present choices via interactive option buttons (`AskUserQuestion`):

1. **Media Type**:
   - **Promotional Image (Poster / Graphic)**: Static ad poster, product display graphic, social media banner, feature infographic.
   - **Promotional Video (Commercial / Ad Clip)**: 5–10s dynamic product spotlight video, commercial clip, social media story ad.

2. **Visual Style**:
   - **Modern Tech / Minimalist**: Clean geometric shapes, sleek lighting, soft metallic/matte textures.
   - **High-End Luxury / Premium**: Studio lighting, deep rich contrast, gold/dark slate accents, high-fashion aesthetic.
   - **Vibrant & Dynamic**: Bold color contrasts, energetic composition, modern pop/gradient visual accents.
   - **Cinematic Commercial**: Dramatic key lighting, shallow depth of field, realistic environment lighting.

3. **Aspect Ratio**:
   - **3:4 / 9:16**: Vertical (Redbook, Instagram Reels, TikTok, Mobile Ad).
   - **16:9 / 3:2**: Horizontal (Website Hero Banner, YouTube, Desktop Display).
   - **1:1**: Square (E-commerce main picture, Social feeds).

---

## Step 3 — Model Selection & Prompt Generation

### Model Routing Matrix

Select preferred models based on output media type and whether source media was extracted/uploaded:

| Output Type | Input Source | Preferred Models (Text-Driven) | Preferred Models (Reference-Driven, `supports_reference: true`) | Recommended Aspect |
|---|---|---|---|---|
| **Promotional Image** | URL Content Only | `bytedance/seedream-5-pro`, `openai/gpt-image-2-premium`, `qwen-image-3.0-pro` | `bytedance/seedream-5-pro`, `qwen-image-edit-2.0-pro`, `google/nano-banana-pro` | 3:4, 16:9, 1:1 |
| **Promotional Video** | URL Content Only | `kling/kling-v2-master`, `minimax/video-01-live`, `vidu/vidu-v2` | `kling/kling-v2-master`, `bytedance/omni-human-pro`, `kling/kling-v1-6-pro` | 9:16, 16:9 |

### Prompt Structure (English)

Image and video models perform best when visual context is specified in structured English. Translate extracted selling points and visual requirements into clear visual prompts:

- **Promotional Image Prompt Template**:
  `A high-end commercial promotional poster for [PRODUCT_NAME]. Highlighting key features: [SELLING_POINTS]. Set in a [VISUAL_STYLE] environment with professional studio lighting, crisp product textures, modern typography composition space, and elegant visual atmosphere. Masterpiece quality, 8k resolution.`

- **Promotional Video Prompt Template**:
  `A cinematic promotional commercial video for [PRODUCT_NAME]. Smooth dynamic camera motion showcasing [SELLING_POINTS]. [VISUAL_STYLE] visual aesthetic, vibrant studio lighting, realistic reflections, professional advertising cinematography, fluid motion.`

After picking the model, inspect its live schema before constructing payload:

```text
python <root>/runtime/crun_cli.py models describe --model <model>
```

---

## Step 4 — Estimate & Confirmation Gate

Read `../../crun-account-credits/SKILL.md`. Estimate the exact input payload before creating any task:

```text
python <root>/runtime/crun_cli.py task estimate --model <model> --input-file <input.json>
```

Require `affordable: true`. Present a clear confirmation summary card containing:
- **Extracted Product / Brand**: `[PRODUCT_NAME]`
- **Key Selling Points Identified**: `[SELLING_POINTS]`
- **Target Output**: `[Media Type] ([Aspect Ratio])`
- **Selected Model**: `[MODEL_NAME]`
- **Estimated Credit Cost**: `[CREDITS]`

Wait for explicit user confirmation via interactive buttons before spending credits.

---

## Step 5 — Create & Deliver

Read `../../crun-task-runner/SKILL.md` for task lifecycle authority. Create once and poll:

```text
python <root>/runtime/crun_cli.py task create --model <model> --input-file <input.json>
python <root>/runtime/crun_cli.py task wait --task-id <task_id> --timeout-seconds 120
```

Follow `crun-task-runner` for all timeout recovery and status checks.

---

## Delivery Format

Deliver the completion summary with normalized metadata and media result:

```text
✅ Promotional media generation completed!
- Task ID: <task_id>
- Source URL: <url>
- Media Type: <Image / Video>
- Model: <model>
- Credits Spent: <credits>
- File Path: <local_media_path>

[Inline Preview of Image / Video]
```