genpark-marketing-banner-agent-skill

name	genpark-marketing-banner-agent-skill
description	AI agent skill for managing GenPark seasonal promotional web banners with automated scheduling and layout matching
triggers	["set up GenPark marketing banner automation","schedule seasonal promotional banners","configure banner rotation for GenPark campaigns","automate marketing banner deployment","manage promotional banner layouts","create seasonal banner schedule","update GenPark promo banners","integrate banner agent with marketing calendar"]

GenPark Marketing Banner Agent Skill

Skill by ara.so — Marketing Skills collection.

This skill enables AI coding agents to work with the GenPark Marketing Banner Agent, a Python-based system for automating seasonal promotional web banner deployment. The agent matches banner layouts to scheduled campaigns, handles rotation logic, and integrates with marketing calendars.

What It Does

GenPark Marketing Banner Agent provides:

• Automated banner scheduling based on seasonal campaigns and promotional periods
• Layout matching to ensure banners fit designated webpage slots
• Banner rotation with priority and timing controls
• Integration hooks for CMS and marketing automation platforms
• A/B testing support for banner variants

Installation

# Clone the repository
git clone https://github.com/alphaparkinc/genpark-marketing-banner-agent-skill.git
cd genpark-marketing-banner-agent-skill

# Install dependencies
pip install -r requirements.txt

# Or install as a package
pip install genpark-banner-agent

Dependencies

Common dependencies include:

• pyyaml - Configuration management
• schedule - Job scheduling
• pillow - Image processing
• requests - API integrations
• python-dateutil - Date/time handling

Quick Start

from genpark_banner import BannerAgent, BannerSchedule, Layout

# Initialize the banner agent
agent = BannerAgent(
    config_path="config/banners.yaml",
    assets_dir="assets/banners"
)

# Define a seasonal campaign
schedule = BannerSchedule(
    campaign_name="summer_sale_2026",
    start_date="2026-07-01",
    end_date="2026-07-31",
    priority=1
)

# Add banner with layout matching
agent.add_banner(
    schedule=schedule,
    banner_path="assets/banners/summer_sale.png",
    layout=Layout.HERO_WIDE,
    target_pages=["home", "products"]
)

# Start the agent
agent.run()

Configuration

YAML Configuration

Create config/banners.yaml:

agent:
  check_interval: 300  # seconds
  timezone: "America/New_York"
  auto_deploy: true

layouts:
  hero_wide:
    width: 1920
    height: 600
    slots: ["home_hero", "landing_hero"]
  
  sidebar:
    width: 300
    height: 600
    slots: ["product_sidebar", "blog_sidebar"]
  
  banner_strip:
    width: 1200
    height: 120
    slots: ["top_strip", "promo_strip"]

campaigns:
  - name: "summer_sale_2026"
    start: "2026-07-01T00:00:00"
    end: "2026-07-31T23:59:59"
    priority: 1
    banners:
      - asset: "summer_sale_hero.png"
        layout: "hero_wide"
        pages: ["home"]
      
      - asset: "summer_sale_sidebar.png"
        layout: 
         [, ]
  
    
     
     
     
    
        
         
         [, ]


     
   
   

Environment Variables

# .env file
BANNER_API_ENDPOINT=https://cms.genpark.com/api/v1/banners
BANNER_API_TOKEN=your_api_token_here
BANNER_ASSETS_DIR=/var/www/banners
BANNER_LOG_LEVEL=INFO

Core API

BannerAgent Class

from genpark_banner import BannerAgent

agent = BannerAgent(
    config_path="config/banners.yaml",
    assets_dir="assets/banners",
    log_level="INFO"
)

# Schedule a new banner
agent.schedule_banner(
    campaign="holiday_sale",
    asset="holiday_hero.png",
    layout="hero_wide",
    start_date="2026-12-01",
    end_date="2026-12-25",
    pages=["home", "gifts"],
    priority=1
)

# Check active banners
active = agent.get_active_banners(page="home")
print(active)

# Force banner update
agent.update_now(page="home")

# Remove scheduled banner
agent.remove_banner(campaign="holiday_sale")

Layout Matching

from genpark_banner import Layout, BannerMatcher

# Define custom layout
custom_layout = Layout(
    name="custom_hero",
    width=1440,
    height=500,
    aspect_ratio="16:9",
    allowed_formats=["png", "jpg", "webp"]
)

# Match banner to layout
matcher = BannerMatcher()
is_match = matcher.validate(
    banner_path="assets/promo.png",
    layout=custom_layout,
    auto_resize=True  # Resize if dimensions don't match
)

if not is_match:
    # Get resized version
    resized_path = matcher.resize_to_layout(
        banner_path="assets/promo.png",
        layout=custom_layout,
        output_path="assets/promo_resized.png"
    )

Scheduling Patterns

from genpark_banner import BannerSchedule, RecurrenceRule

# One-time campaign
schedule = BannerSchedule(
    campaign_name="flash_sale",
    start_date="2026-07-15T10:00:00",
    end_date="2026-07-15T18:00:00",
    priority=1
)

# Recurring weekly banner
weekly_schedule = BannerSchedule(
    campaign_name="weekend_deals",
    recurrence=RecurrenceRule(
        frequency="weekly",
        days=["saturday", "sunday"],
        start_time="00:00:00",
        end_time="23:59:59"
    ),
    start_date="2026-07-01",
    end_date="2026-12-31"
)

agent.add_schedule(weekly_schedule)

A/B Testing

from genpark_banner import ABTest

# Create A/B test variants
ab_test = ABTest(
    campaign="summer_sale",
    variants=[
        {
            "name": "variant_a",
            "asset": "summer_hero_a.png",
            "weight": 50
        },
        {
            "name": "variant_b",
            "asset": "summer_hero_b.png",
            "weight": 50
        }
    ],
    tracking_param="banner_variant"
)

agent.add_ab_test(
    test=ab_test,
    layout="hero_wide",
    pages=["home"],
    start_date="2026-07-01",
    end_date="2026-07-07"
)

# Get variant performance
stats = agent.get_ab_stats(campaign="summer_sale")
print(f"Variant A CTR: {stats['variant_a']['ctr']}")
print(f"Variant B CTR: {stats['variant_b']['ctr']}")

Deployment Integration

API Deployment

from genpark_banner import APIDeployer

deployer = APIDeployer(
    endpoint=os.getenv("BANNER_API_ENDPOINT"),
    auth_token=os.getenv("BANNER_API_TOKEN")
)

# Deploy banner to CMS
deployer.deploy(
    banner_path="assets/summer_sale.png",
    slot="home_hero",
    metadata={
        "campaign": "summer_sale_2026",
        "start": "2026-07-01T00:00:00",
        "end": "2026-07-31T23:59:59",
        "link_url": "https://genpark.com/summer-sale"
    }
)

S3 Deployment

from genpark_banner import S3Deployer

s3_deployer = S3Deployer(
    bucket=os.getenv("S3_BANNER_BUCKET"),
    region=os.getenv("AWS_REGION"),
    access_key=os.getenv("AWS_ACCESS_KEY_ID"),
    secret_key=os.getenv("AWS_SECRET_ACCESS_KEY")
)

s3_deployer.upload(
    banner_path="assets/summer_sale.png",
    s3_key="banners/active/home_hero.png",
    cache_control="max-age=3600"
)

Common Patterns

Automated Seasonal Rotation

from genpark_banner import BannerAgent, SeasonalTemplate

agent = BannerAgent(config_path="config/banners.yaml")

# Define seasonal templates
seasons = SeasonalTemplate(
    spring={"start": "03-20", "end": "06-19", "asset": "spring_banner.png"},
    summer={"start": "06-20", "end": "09-21", "asset": "summer_banner.png"},
    fall={"start": "09-22", "end": "12-20", "asset": "fall_banner.png"},
    winter={"start": "12-21", "end": "03-19", "asset": "winter_banner.png"}
)

agent.apply_seasonal_template(
    template=seasons,
    layout="hero_wide",
    pages=["home"]
)

agent.run()

Priority Override

# Normal campaign (priority 3)
agent.schedule_banner(
    campaign="standard_promo",
    asset="standard.png",
    priority=3,
    start_date="2026-07-01",
    end_date="2026-07-31"
)

# High priority flash sale (overrides lower priority)
agent.schedule_banner(
    campaign="flash_sale",
    asset="flash_sale.png",
    priority=1,  # Lower number = higher priority
    start_date="2026-07-15T10:00:00",
    end_date="2026-07-15T18:00:00"
)

Banner Preview & Testing

from genpark_banner import BannerPreview

preview = BannerPreview(agent=agent)

# Preview what will be active on a specific date
upcoming = preview.preview_date(
    date="2026-07-15",
    page="home"
)

print(f"Active banner: {upcoming['campaign']}")
print(f"Asset: {upcoming['asset']}")
print(f"Priority: {upcoming['priority']}")

# Test schedule conflicts
conflicts = preview.check_conflicts(
    start_date="2026-07-01",
    end_date="2026-07-31",
    page="home",
    layout="hero_wide"
)

if conflicts:
    print(f"Warning: {len(conflicts)} scheduling conflicts detected")
    for conflict in conflicts:
        print(f"  - {conflict['campaign']} (priority {conflict['priority']})")

CLI Commands

Start the Agent

# Run with default config
python -m genpark_banner run

# Specify config file
python -m genpark_banner run --config config/production.yaml

# Dry run (no deployment)
python -m genpark_banner run --dry-run

# Run once (don't loop)
python -m genpark_banner run --once

Schedule Management

# List active schedules
python -m genpark_banner list --active

# List all schedules
python -m genpark_banner list --all

# Add banner from CLI
python -m genpark_banner add \
  --campaign "summer_sale" \
  --asset "assets/summer.png" \
  --layout "hero_wide" \
  --start "2026-07-01" \
  --end "2026-07-31" \
  --pages "home,products"

# Remove schedule
python -m genpark_banner remove --campaign "summer_sale"

# Preview schedule
python -m genpark_banner preview --date "2026-07-15" --page "home"

Validation

# Validate configuration
python -m genpark_banner validate --config config/banners.yaml

# Check banner assets
python -m genpark_banner check-assets

# Test deployment connection
python -m genpark_banner test-deploy

Troubleshooting

Banner Not Deploying

# Enable debug logging
import logging
logging.basicConfig(level=logging.DEBUG)

agent = BannerAgent(config_path="config/banners.yaml", log_level="DEBUG")

# Check deployment status
status = agent.get_deployment_status()
print(f"Last deployment: {status['last_deployment']}")
print(f"Status: {status['status']}")
print(f"Errors: {status['errors']}")

Layout Mismatch

from genpark_banner import BannerMatcher

matcher = BannerMatcher()

# Detailed validation
result = matcher.validate_detailed(
    banner_path="assets/banner.png",
    layout=Layout.HERO_WIDE
)

if not result['valid']:
    print("Validation failed:")
    for error in result['errors']:
        print(f"  - {error}")
    
    # Auto-fix if possible
    if result['can_auto_fix']:
        fixed_path = matcher.auto_fix(
            banner_path="assets/banner.png",
            layout=Layout.HERO_WIDE,
            output_path="assets/banner_fixed.png"
        )
        print(f"Fixed banner saved to: {fixed_path}")

Schedule Conflicts

# Find overlapping schedules
conflicts = agent.find_schedule_conflicts(
    page="home",
    layout="hero_wide"
)

for conflict in conflicts:
    print(f"Conflict between:")
    print(f"  {conflict['schedule_a']['campaign']} (priority {conflict['schedule_a']['priority']})")
    print(f"  {conflict['schedule_b']['campaign']} (priority {conflict['schedule_b']['priority']})")
    print(f"  Overlap: {conflict['overlap_start']} to {conflict['overlap_end']}")

API Connection Issues

from genpark_banner import APIDeployer

deployer = APIDeployer(
    endpoint=os.getenv("BANNER_API_ENDPOINT"),
    auth_token=os.getenv("BANNER_API_TOKEN"),
    timeout=30,
    retry_attempts=3
)

# Test connection
try:
    deployer.test_connection()
    print("API connection successful")
except Exception as e:
    print(f"Connection failed: {e}")
    # Check endpoint and credentials

Best Practices

1. Use priority levels wisely: Reserve priority 1 for urgent/flash campaigns
2. Test layouts before deployment: Use BannerMatcher to validate dimensions
3. Monitor deployment logs: Enable INFO or DEBUG logging in production
4. Use environment variables: Never hardcode API tokens or endpoints
5. Preview schedules: Check for conflicts before adding new campaigns
6. Implement rollback: Keep previous banner versions for quick rollback
7. Cache assets: Use CDN or caching for frequently accessed banners

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This skill enables AI coding agents to effectively work with GenPark's marketing banner automation system, handling scheduling, layout matching, deployment, and troubleshooting for seasonal promotional campaigns.