Best use case
paid-media-platforms is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Cross-platform paid advertising management and optimization
Teams using paid-media-platforms should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/paid-media-platforms/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How paid-media-platforms Compares
| Feature / Agent | paid-media-platforms | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Cross-platform paid advertising management and optimization
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Paid Media Platform Skill
## Overview
The Paid Media Platform skill provides cross-platform paid advertising management and optimization capabilities. This skill enables comprehensive paid media campaign management across search, social, display, and programmatic channels.
## Capabilities
### Search Advertising
- Google Ads campaign management
- Microsoft Advertising integration
- Keyword strategy and bidding
- Ad copy optimization
- Quality Score improvement
### Social Advertising
- Meta Ads Manager integration
- LinkedIn Campaign Manager
- Twitter Ads API
- TikTok Ads management
- Platform-specific creative
### Programmatic
- Programmatic DSP operations
- Audience targeting configuration
- Retargeting campaigns
- Connected TV advertising
- Native advertising
### Optimization
- Bid strategy optimization
- Budget allocation and pacing
- Creative asset management
- Cross-channel budget allocation
- Performance forecasting
## Usage
### Campaign Configuration
```javascript
const campaignConfig = {
platforms: {
search: {
platform: 'Google Ads',
campaigns: [
{
name: 'Brand - Search',
objective: 'conversions',
budget: 5000,
bidStrategy: 'target-cpa',
targetCpa: 50
},
{
name: 'Non-Brand - Search',
objective: 'conversions',
budget: 15000,
bidStrategy: 'maximize-conversions'
}
]
},
social: {
platform: 'Meta Ads',
campaigns: [
{
name: 'Prospecting - Lookalike',
objective: 'lead-generation',
budget: 10000,
audience: 'lookalike-customers-1%',
placements: ['facebook-feed', 'instagram-feed', 'instagram-stories']
},
{
name: 'Retargeting - Website Visitors',
objective: 'conversions',
budget: 5000,
audience: 'website-visitors-30d',
excludeAudience: 'customers'
}
]
}
},
totalBudget: 50000,
allocation: {
search: 40,
social: 35,
programmatic: 15,
linkedin: 10
}
};
```
## Process Integration
| Process | Integration Points |
|---------|-------------------|
| sem-campaign-management.js | Search campaigns |
| paid-social-advertising.js | Social campaigns |
| integrated-campaign-planning.js | Full media planning |
| campaign-performance-analysis.js | Performance tracking |
## Best Practices
1. **Clear Objectives**: Define campaign goals upfront
2. **Audience Strategy**: Build sophisticated targeting
3. **Creative Testing**: Continuously test creative
4. **Budget Optimization**: Allocate based on performance
5. **Cross-Channel View**: Manage holistically
## Metrics and KPIs
| Metric | Description | Target |
|--------|-------------|--------|
| ROAS | Return on ad spend | >4x |
| CPA | Cost per acquisition | Below target |
| CTR | Click-through rate | Above benchmark |
| Conversion Rate | Ad conversion rate | Improving |
## Related Skills
- SK-005: Marketing Analytics (measurement)
- SK-016: Creative Testing (creative optimization)
- SK-019: Media Mix Modeling (channel optimization)Related Skills
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