generate-ad-images
npx skills add https://github.com/feed-mob/feedmob-adpilot-mcp --skill generate-ad-images
Agent 安装分布
Skill 文档
Generate Ad Images
Generate two distinct image variations for advertising campaigns using Google Gemini API. Each variation should be visually distinct, platform-optimized, and aligned with campaign goals.
Workflow
Step 1: Analyze Campaign Context
Extract from provided parameters:
- product_or_service: What is being advertised
- target_audience: Who the ad targets
- platform: Where ad appears (TikTok, Facebook, Instagram, LinkedIn)
- creative_direction: Tone and style requirements
- kpi: Success metrics
If research insights provided, incorporate audience behaviors, platform trends, and creative recommendations.
Step 2: Determine Dimensions
Select dimensions based on platform. See references/platform-guidelines.md for full details.
| Platform | Dimensions | Aspect Ratio |
|---|---|---|
| TikTok | 1080Ã1920 | 9:16 |
| Instagram Feed | 1080Ã1080 | 1:1 |
| Instagram Story | 1080Ã1920 | 9:16 |
| Facebook Feed | 1200Ã628 | 1.91:1 |
| 1200Ã627 | 1.91:1 |
Default to 1080Ã1080 if no platform specified.
Step 3: Create Variation A Prompt
Build a detailed image generation prompt including:
- Product/service representation
- Target audience representation (if appropriate)
- Platform-appropriate composition
- Style matching creative direction
- Dimensions specification
- “No text overlays” instruction
- “Leave space for text” instruction
Step 4: Execute Script for Variation A
Run the Python script:
python scripts/generate_image.py --prompt "[your prompt]" --variation "A" --aspect-ratio "[ratio]"
Aspect ratio options: 1:1, 3:4, 4:3, 9:16, 16:9
The script returns JSON with image_data (base64), mime_type, and variation_id.
Step 5: Create Variation B Prompt
Create a DISTINCT prompt with different:
- Composition or angle
- Visual style or mood
- Focus or emphasis
Variation B must NOT be a minor variation of A. Provide genuine alternative for A/B testing.
Step 6: Execute Script for Variation B
python scripts/generate_image.py --prompt "[your prompt]" --variation "B" --aspect-ratio "[ratio]"
Step 7: Determine Recommendation
Analyze both variations and recommend one based on:
- Campaign KPI alignment
- Platform best practices
- Audience appeal from insights
Step 8: Return JSON Output
CRITICAL: Return a raw JSON object as plain text (NOT wrapped in markdown code blocks like “`json). The output must be valid JSON that can be parsed directly by the calling service.
Return this exact structure:
{ “generated_at”: “ISO timestamp (e.g., 2024-01-15T10:30:00Z)”, “campaign_name”: “name or null”, “platform”: “platform name (lowercase, e.g., tiktok, instagram_feed)”, “target_audience”: “audience description”, “variations”: [ { “variation_id”: “A”, “image_url”: “URL from script output (required)”, “thumbnail_url”: “thumbnail URL from script or null”, “file_id”: “file ID from script or null”, “mime_type”: “image/png or image/jpeg”, “prompt_used”: “full prompt used for generation”, “visual_approach”: “brief description of visual approach (1-2 sentences)”, “dimensions”: { “width”: 1080, “height”: 1920 } }, { “variation_id”: “B”, “image_url”: “URL from script output (required)”, “thumbnail_url”: “thumbnail URL from script or null”, “file_id”: “file ID from script or null”, “mime_type”: “image/png or image/jpeg”, “prompt_used”: “full prompt used for generation”, “visual_approach”: “brief description of visual approach (1-2 sentences)”, “dimensions”: { “width”: 1080, “height”: 1920 } } ], “recommended_variation”: “A or B”, “recommendation_rationale”: “2-3 sentences explaining why this variation is recommended based on campaign goals, platform best practices, and audience appeal” }
References
- Platform Guidelines: See references/platform-guidelines.md for platform-specific dimensions, optimization tips, and creative direction alignment
- Examples: See references/examples.md for complete input/output examples
Important Notes
- Return raw JSON only, not wrapped in code blocks
- Generate exactly two variations with distinct visual approaches
- Ensure images are platform-optimized with correct dimensions
- Leave space for text overlays (headlines, CTAs)
- Avoid text, logos, or copyrighted elements in generated images
- Match tone and style to creative direction
- Provide clear rationale for recommendation
- Ensure variation B is genuinely different from A