Home/Skills/Communication & Marketing/Ad Context Protocol (AdCP) Advertising
edyyy62

Ad Context Protocol (AdCP) Advertising

2 versions
edyyy62Β·Jan 31, 2026

Summary

TL;DR: AdCP Advertising implements the Ad Context Protocol, letting your AI agent interact with programmatic advertising platforms through a unified interface.

Ad Context Protocol (AdCP) Advertising is an OpenClaw skill that automate advertising campaigns with AI. Create ads, buy media, manage ad budgets, discover ad inventory, run display ads, video ads, CTV campaigns, and optimize ad performance. Perfect for marketing automation, programmatic advertising, media buying, ad management, campaign optimization, creative management, and performance tracking. Launch Facebook ads, Google ads, display advertising, video marketing, and multi-channel campaigns using natural language. Supports ad targeting, audience segmentation, ROI tracking, and automated bidding.

Created by edyyy62, this skill has been downloaded 3k+ times on ClawHub. Install it with one command and your AI agent gains these capabilities right away.

Use cases

  • Manage ad campaigns across multiple platforms from a single agent workflow
  • Automate bid adjustments based on performance thresholds you define
  • Generate cross-platform advertising reports that normalize metrics across different ad networks
  • Set up and configure new ad campaigns programmatically without touching platform dashboards

Installation

Run this command to install the skill on your OpenClaw agent:

Install with OpenClaw
npx clawhub@latest install adcp-advertising
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Updated
Jan 31, 2026

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The skill's files, instructions, and requirements are internally consistent with an advertising/media-buying agent; it is an instruction-only AdCP client that uses agent endpoints and bearer tokens (a public test token is included for development).

Purpose & Capability
Instruction Scope
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SKILL.md

SKILL.md
---
name: adcp-advertising
displayName: AdCP Advertising
description: Automate advertising campaigns with AI. Create ads, buy media, manage ad budgets, discover ad inventory, run display ads, video ads, CTV campaigns, and optimize ad performance. Perfect for marketing automation, programmatic advertising, media buying, ad management, campaign optimization, creative management, and performance tracking. Launch Facebook ads, Google ads, display advertising, video marketing, and multi-channel campaigns using natural language. Supports ad targeting, audience segmentation, ROI tracking, and automated bidding.
author: AdCP Community
license: MIT
homepage: https://docs.adcontextprotocol.org
repository: https://github.com/edyyy62/openclaw-adcp
category: advertising
subcategory: marketing-automation
type: agent
keywords:
  - advertising
  - ads
  - marketing
  - campaigns
  - adcp
  - programmatic
  - media-buying
  - display-ads
  - video-ads
  - facebook-ads
  - google-ads
  - ctv
  - connected-tv
  - marketing-automation
  - ad-management
  - campaign-optimization
  - targeting
  - roi-tracking
  - performance-marketing
  - retargeting
---

# Ad Context Protocol (AdCP) Advertising Skill

## Overview

**Automate your advertising campaigns with AI.** This skill enables OpenClaw agents to discover ad inventory, launch campaigns, manage creatives, and optimize performance across display, video, CTV, audio, and more - all through natural language commands.

No dashboards. No forms. No ad platform expertise required.

### What You Can Do

- 🎯 **Launch campaigns in minutes** - "Create a $10k display campaign targeting tech professionals in California"
- πŸ” **Discover ad inventory instantly** - "Find premium video placements for luxury brands"
- 🎨 **Upload ads with ease** - "Upload these banner images as creatives"
- πŸ“Š **Track ROI in real-time** - "Show me campaign performance and CTR by creative"
- πŸŽ›οΈ **Auto-optimize spend** - "Reallocate budget to top-performing packages"
- 🌐 **Target precisely** - Demographics, behaviors, interests, locations, devices, times

### Perfect For

**Marketing teams** running Facebook ads, Google ads, and multi-channel campaigns  
**Media buyers** managing programmatic ad spend across publishers  
**Agencies** automating client campaign management and reporting  
**E-commerce brands** launching product ads and retargeting campaigns  
**Startups** running lean marketing with AI-powered automation

### Why Choose This Skill?

**Skip the learning curve** - No need to master complex ad platforms  
**Save time** - Launch in 5 minutes vs. hours of manual setup  
**Spend smarter** - AI automatically optimizes budgets to top performers  
**Scale faster** - Manage unlimited campaigns through simple commands  
**Test risk-free** - Public test agent included, no setup required

**Official AdCP Repository**: https://github.com/adcontextprotocol/adcp  
**Official AdCP Documentation**: https://docs.adcontextprotocol.org  
**Complete Documentation Index**: https://docs.adcontextprotocol.org/llms.txt

## When to Use This Skill

Trigger this skill when users ask about:

**Campaign Management**
- "Create a display ad campaign"
- "Launch Facebook ads for my product"
- "Set up a $5000 video advertising campaign"
- "Pause my underperforming campaigns"

**Ad Discovery & Media Buying**
- "Find advertising inventory for luxury brands"
- "Show me CTV ad placements in major cities"
- "What display ad options are available?"
- "Buy media for a tech startup"

**Creative Management**
- "Upload these banner images"
- "Which creative is performing best?"
- "Add video ads to my campaign"
- "Manage my ad library"

**Performance & Optimization**
- "How is my campaign performing?"
- "Show me ROI by channel"
- "Optimize my ad spend"
- "Reallocate budget to top performers"
- "Track impressions and click-through rates"

**Targeting & Audiences**
- "Target professionals in California"
- "Set up demographic targeting"
- "Create a retargeting campaign"
- "Target by device type and time of day"

## Quick Start

### Launch Your First Campaign (5 Minutes)

**No setup required.** Use the included test agent to try everything:

**Step 1: Discover what's available**
```
"Show me advertising capabilities"
```
Browse available channels, publishers, and formats.

**Step 2: Find ad inventory**
```
"Find display ads for a tech startup, budget $5000"
```
AI searches and shows matching products with pricing.

**Step 3: Launch campaign**
```
"Create campaign with Product prod_123, $5000 budget, targeting California tech professionals"
```
Campaign goes live instantly.

**Step 4: Upload your ads**
```
"Upload these banner images as creatives"
```
Drop files, get instant creative IDs.

**Step 5: Monitor performance**
```
"Show campaign metrics and ROI"
```
Real-time impressions, clicks, CTR, spend.

### Real-World Usage Examples

**Quick campaign launch:**
```
User: "I need to run display ads for my SaaS product"
Agent: [Discovers products] "Found 5 display packages. Want details?"
User: "Create campaign with Product 1, $10k budget, target CTOs"
Agent: [Creates campaign] "Campaign live! ID: mb_abc123"
```

**Performance optimization:**
```
User: "How are my video ads performing?"
Agent: [Shows metrics] "Package A: 2.3% CTR, Package B: 0.8% CTR"
User: "Move $5k from B to A"
Agent: [Reallocates] "Budget updated. Package A now $15k"
```

**Multi-channel campaign:**
```
User: "Launch omnichannel campaign: display in CA, video in NYC, $50k total"
Agent: [Creates packages] "3 packages created across display and video"
```

## How It Works

### Natural Language Understanding

Speak naturally. The skill understands:
- **Budgets**: "$5000", "five thousand dollars", "5k budget"
- **Locations**: "California", "major US cities", "New York and LA"
- **Audiences**: "tech professionals", "age 25-45", "high income"
- **Goals**: "brand awareness", "drive conversions", "increase sales"

### Progressive Workflow

**1. Discovery Phase**
```
"Find video advertising for luxury brands"
```
↓ Agent searches inventory
↓ Shows matched products with pricing
↓ Explains targeting and formats

**2. Campaign Creation**
```
"Create campaign with Product 1, $25k, target professionals"
```
↓ Agent creates media buy
↓ Sets up targeting overlay
↓ Returns campaign ID and status

**3. Creative Management**
```
"Upload my banner ads"
```
↓ Agent syncs creatives
↓ Assigns to campaign
↓ Returns creative IDs

**4. Monitoring & Optimization**
```
"Show performance"
```
↓ Agent fetches delivery data  
↓ Shows metrics by package/creative  
↓ Suggests optimizations

## Core Operations

### Create Campaign

```javascript
const campaign = await testAgent.createMediaBuy({
  buyer_ref: 'campaign-2026-q1',
  brand_manifest: { url: 'https://acme.com' },
  packages: [{ product_id: 'premium_display', budget: 10000 }]
});
```

### Upload Creatives

```javascript
await testAgent.syncCreatives({
  creatives: [{ 
    buyer_ref: 'banner-300x250',
    url: 'https://cdn.acme.com/banner.jpg'
  }]
});
```

### Monitor Performance

```javascript
const delivery = await testAgent.getMediaBuyDelivery({
  media_buy_id: 'mb_abc123'
});
console.log(`CTR: ${delivery.totals.ctr}%, Spend: $${delivery.totals.spend}`);
```

See [REFERENCE.md](REFERENCE.md) for complete API docs and [EXAMPLES.md](EXAMPLES.md) for detailed workflows.

## Core Concepts

### The 8 Media Buy Tasks

AdCP provides 8 standardized tasks for the complete advertising lifecycle. Learn more in the [Media Buy Protocol documentation](https://docs.adcontextprotocol.org/docs/media-buy/).

1. **get_adcp_capabilities** - Discover agent features and portfolio (~1s)
2. **get_products** - Find inventory using natural language (~60s)
3. **list_creative_formats** - View creative specifications (~1s)
4. **create_media_buy** - Launch campaigns (minutes-days, may require approval)
5. **update_media_buy** - Modify campaigns (minutes-days)
6. **sync_creatives** - Upload creative assets (minutes-days)
7. **list_creatives** - Query creative library (~1s)
8. **get_media_buy_delivery** - Track performance (~60s)

**Complete task reference**: https://docs.adcontextprotocol.org/docs/media-buy/task-reference/

### Brand Manifest

Brand context can be provided two ways:

**URL reference** (recommended - agent fetches brand info):
```json
{
  "brand_manifest": {
    "url": "https://brand.com"
  }
}
```

**Inline manifest** (full brand details):
```json
{
  "brand_manifest": {
    "name": "Brand Name",
    "url": "https://brand.com",
    "tagline": "Brand tagline",
    "colors": { "primary": "#FF0000" },
    "logo": { "url": "https://cdn.brand.com/logo.png" }
  }
}
```

### Pricing Models

Products support various pricing models:
- **CPM** (Cost Per Mille/Thousand) - Fixed price per 1000 impressions
- **CPM-Auction** - Bid-based pricing for impressions
- **CPCV** (Cost Per Completed View) - Video completions
- **Flat-Fee** - Fixed campaign cost
- **CPP** (Cost Per Point) - Percentage of audience reached

For auction pricing, include `bid_price` in your package.

### Asynchronous Operations

AdCP is **not a real-time protocol**. Operations may take:
- **~1 second** - Simple lookups (formats, creative lists)
- **~60 seconds** - AI/inference operations (product discovery)
- **Minutes to days** - Operations requiring human approval (campaign creation)

Always check the `status` field in responses:
- `completed` - Operation finished successfully
- `pending` - Awaiting approval or processing
- `failed` - Operation failed (check error details)

### Targeting Capabilities

Apply targeting overlays to campaigns:
```javascript
{
  targeting_overlay: {
    geo: {
      included: ['US-CA', 'US-NY'],  // DMA codes or regions
      excluded: ['US-TX']
    },
    demographics: {
      age_ranges: [{ min: 25, max: 44 }],
      genders: ['M', 'F']
    },
    behavioral: {
      interests: ['technology', 'gaming'],
      purchase_intent: ['consumer_electronics']
    },
    contextual: {
      keywords: ['innovation', 'design'],
      categories: ['IAB19'] // Technology & Computing
    }
  }
}
```

## Common Workflows

### Workflow 1: Campaign Discovery to Launch

```javascript
// 1. Discover capabilities
const caps = await agent.getAdcpCapabilities({});

// 2. Find products
const products = await agent.getProducts({
  brief: 'Q1 2026 brand awareness campaign for tech startup',
  brand_manifest: { url: 'https://startup.com' },
  filters: { channels: ['display', 'video'] }
});

// 3. Check creative formats
const formats = await agent.listCreativeFormats({
  format_types: ['display', 'video']
});

// 4. Create campaign
const campaign = await agent.createMediaBuy({
  buyer_ref: 'q1-2026-awareness',
  brand_manifest: { url: 'https://startup.com' },
  packages: [
    {
      buyer_ref: 'pkg-001',
      product_id: products.products[0].product_id,
      pricing_option_id: 'cpm-standard',
      budget: 15000
    }
  ],
  start_time: { type: 'asap' },
  end_time: '2026-03-31T23:59:59Z'
});

// 5. Upload creatives
await agent.syncCreatives({
  creatives: [...], // Your creative assets
  assignments: {
    'creative_001': ['pkg-001']
  }
});

// 6. Monitor performance
const delivery = await agent.getMediaBuyDelivery({
  media_buy_id: campaign.media_buy_id
});
```

### Workflow 2: Update Running Campaign

```javascript
// Pause, adjust budget, and resume campaign
await agent.updateMediaBuy({
  media_buy_id: 'mb_abc123',
  updates: {
    status: 'paused',
    budget_change: 5000, // Add $5000
    end_time: '2026-04-30T23:59:59Z'
  }
});

// Resume after adjustments
await agent.updateMediaBuy({
  media_buy_id: 'mb_abc123',
  updates: { status: 'active' }
});
```

**More workflow examples**: See [EXAMPLES.md](EXAMPLES.md) for complete campaign scenarios including creative management, multi-channel campaigns, and optimization workflows.

## Test Agent

For development and testing, use the public test agent:

**Agent URL**: `https://test-agent.adcontextprotocol.org/mcp`  
**Auth Token**: `1v8tAhASaUYYp4odoQ1PnMpdqNaMiTrCRqYo9OJp6IQ`

```javascript
import { testAgent } from '@adcp/client/testing';

// No authentication needed for test agent
const result = await testAgent.getProducts({
  brief: 'Test campaign',
  brand_manifest: { url: 'https://example.com' }
});
```

Interactive testing available at: **[testing.adcontextprotocol.org](https://testing.adcontextprotocol.org)**

## Error Handling

Common error patterns:

**400 Bad Request** - Invalid parameters:
```json
{
  "error": {
    "code": "VALIDATION_ERROR",
    "message": "budget must be greater than 0",
    "field": "packages[0].budget"
  }
}
```

**401 Unauthorized** - Missing or invalid auth:
```json
{
  "error": {
    "code": "UNAUTHORIZED",
    "message": "Invalid authentication token"
  }
}
```

**404 Not Found** - Invalid ID reference:
```json
{
  "error": {
    "code": "NOT_FOUND",
    "message": "Product not found",
    "resource": "product_id: premium_video_30s"
  }
}
```

Always check for errors before processing responses:
```javascript
if (result.error) {
  console.error(`Error: ${result.error.message}`);
  return;
}
```

## Best Practices

### 1. Always Start with Capabilities

Call `get_adcp_capabilities` first to understand what the agent supports before making other requests.

### 2. Use Clear Buyer References

Use descriptive `buyer_ref` values for tracking:
- Good: `'campaign-2026-q1-tech-launch'`
- Avoid: `'c1'`, `'test'`, `'abc'`

### 3. Handle Async Operations

Check `status` field and implement polling for pending operations:
```javascript
let status = 'pending';
while (status === 'pending') {
  await sleep(5000); // Wait 5 seconds
  const update = await agent.getMediaBuyDelivery({
    media_buy_id: campaign.media_buy_id
  });
  status = update.status;
}
```

### 4. Write Detailed Briefs

Better briefs lead to better product matches:
- Good: `'Premium video inventory for luxury automotive brand targeting high-income professionals aged 35-54 in major metros. Focus on brand awareness with completion rates above 70%.'`
- Avoid: `'video ads'`, `'need advertising'`

### 5. Validate Creative Formats

Always check `list_creative_formats` to ensure your creatives meet requirements before uploading.

### 6. Monitor Budget Pacing

Regularly check delivery metrics to ensure campaigns are pacing properly:
```javascript
const delivery = await agent.getMediaBuyDelivery({
  media_buy_id: campaign.media_buy_id
});

const pacing = delivery.delivery.spend / delivery.delivery.budget;
console.log(`Budget pacing: ${(pacing * 100).toFixed(1)}%`);
```

## Additional Resources

### Official AdCP Documentation
- **Main Documentation**: https://docs.adcontextprotocol.org
- **Complete Index**: https://docs.adcontextprotocol.org/llms.txt
- **Media Buy Protocol**: https://docs.adcontextprotocol.org/docs/media-buy/
- **Quick Reference**: https://docs.adcontextprotocol.org/docs/media-buy/quick-reference
- **Task Reference**: https://docs.adcontextprotocol.org/docs/media-buy/task-reference/
- **Quickstart Guide**: https://docs.adcontextprotocol.org/docs/quickstart

### This Skill's Documentation
- [REFERENCE.md](REFERENCE.md) - Complete API reference and schemas
- [EXAMPLES.md](EXAMPLES.md) - Real-world campaign examples
- [PROTOCOLS.md](PROTOCOLS.md) - MCP vs A2A protocol details
- [TARGETING.md](TARGETING.md) - Advanced targeting strategies
- [CREATIVE.md](CREATIVE.md) - Creative asset management guide

## Key Reminders

1. **AdCP is asynchronous** - Operations may take minutes to days
2. **Human approval may be required** - Check for `pending` status
3. **Start with capabilities** - Always call `get_adcp_capabilities` first
4. **Brand context matters** - Provide detailed brand manifests for better results
5. **Targeting is additive** - Product targeting + your overlay = final targeting
6. **Creative formats are strict** - Always validate against format specifications
7. **Monitor performance** - Regular delivery checks ensure campaign success

## Support

For help with AdCP:
- Official Repository: https://github.com/adcontextprotocol/adcp
- Documentation: https://docs.adcontextprotocol.org
- Interactive Testing: https://testing.adcontextprotocol.org
- Complete API Docs: https://docs.adcontextprotocol.org/llms.txt

Version history

v1.0.1Latest
Jan 31, 2026

- Simplified metadata structure: added display name, author, license, homepage, repository, category, and expanded keywords. - Dramatically streamlined and modernized the documentation for faster onboarding, practical usage examples, and clear real-world use cases. - Improved natural language guidance, making it easier to understand how to launch, optimize, and track ad campaigns without technical knowledge. - Emphasized key use cases, including programmatic buying, campaign management, creative upload, and performance monitoring. - Removed legacy files (e.g., package.json) and replaced verbose, technical details with concise, action-oriented instructions. - The skill now targets a wider, less technical audience with direct, workflow-focused guidance for advertising automation.

v1.0.0
Jan 31, 2026

# Version 1.0.0 - Initial Release **Release Date**: January 31, 2026 **Status**: Initial Public Release ## What This Repository Does The **Ad Context Protocol (AdCP) Advertising** skill enables OpenClaw AI agents to autonomously discover, create, manage, and optimize advertising campaigns using natural language. Built on the Ad Context Protocol (AdCP) open standard, this skill provides a comprehensive interface for programmatic advertising automation across multiple channels. ### Core Purpose This skill bridges the gap between AI agents and the advertising ecosystem, allowing agents to: - Discover advertising inventory through natural language queries - Create and manage multi-channel campaigns - Upload and organize creative assets - Monitor real-time campaign performance - Optimize campaigns based on data and feedback All through conversational commands, without requiring manual platform navigation or technical advertising expertise. ## What We Achieved in v1.0.0 ### Complete AdCP Implementation **8 Core Tasks Fully Implemented:** 1. `get_adcp_capabilities` - Discover agent capabilities and portfolio 2. `get_products` - AI-powered product discovery with natural language 3. `create_media_buy` - Create campaigns with targeting and budgets 4. `update_media_buy` - Modify existing campaigns 5. `sync_creatives` - Upload and manage creative assets 6. `list_creatives` - Browse creative library 7. `get_media_buy_delivery` - Monitor campaign performance 8. `provide_performance_feedback` - Submit optimization signals ### Comprehensive Documentation **5,612 lines of professional documentation across 11 files:** - **SKILL.md** (462 lines) - Quick start and core concepts, under 500-line requirement - **README.md** (383 lines) - Enhanced with authentication guide and use cases - **REFERENCE.md** (1,306 lines) - Complete API reference for all 8 tasks - **EXAMPLES.md** (1,030 lines) - Real-world campaign examples across all channels - **PROTOCOLS.md** (418 lines) - MCP vs A2A protocol comparison and integration - **TARGETING.md** (685 lines) - Advanced targeting strategies - **CREATIVE.md** (704 lines) - Creative asset management guide - **QUICKREF.md** (273 lines) - Quick reference card - **CLAWHUB.md** (249 lines) - Publishing guide - **package.json** (80 lines) - Complete metadata and configuration - **LICENSE** - MIT open source license ### Multi-Channel Support **6 Advertising Channels Fully Supported:** - Display advertising (banner ads, rich media, HTML5) - Video advertising (pre-roll, mid-roll, outstream) - Connected TV (CTV) - Audio advertising (streaming audio, podcasts) - Native advertising (in-feed, content-style) - Digital Out-of-Home (DOOH) ### Authentication & Testing **Comprehensive Authentication Documentation:** - Clear explanation of public vs authenticated operations - Tiered authentication model documentation - Bearer token authentication with JWT support - Production credential acquisition guide - Configuration examples for test and production environments **Public Test Agent Included:** - URL: `https://test-agent.adcontextprotocol.org/mcp` - Public test token: `1v8tAhASaUYYp4odoQ1PnMpdqNaMiTrCRqYo9OJp6IQ` - Interactive testing portal: https://testing.adcontextprotocol.org - Zero-setup testing for users ### User Experience Features **"Your First Ad Campaign (5 Minutes)" Tutorial:** - Step-by-step guide from zero to first campaign - Uses public test agent (no authentication setup needed) - Natural language examples throughout **Target Audience Documentation:** - Marketing Teams - Media Buyers - Agencies - Developers **Real-World Use Cases:** - Launch New Product Campaign - Optimize Existing Campaign - Multi-Channel Strategy ### Protocol Support **Dual Protocol Implementation:** - MCP (Model Context Protocol) - Full support - A2A (Agent-to-Agent) - Full support - Comprehensive protocol comparison guide - Integration examples for both protocols ### Production-Ready Features **Quality Assurance:** - Error handling patterns for all tasks - Async operation handling with status checks - Input validation examples - Best practices throughout documentation - Troubleshooting guides **Progressive Disclosure Architecture:** - Core concepts in SKILL.md (quick to load) - Detailed APIs in REFERENCE.md - Advanced strategies in specialized guides - Fast lookups in QUICKREF.md ### Community-Ready **Open Source:** - MIT License for maximum compatibility - No personal information or proprietary code - Community-based authorship - Generic, reusable patterns **Official AdCP Integration:** - Official repository linked: https://github.com/adcontextprotocol/adcp - Clear distinction between skill and protocol - Upstream field in package.json - Links to official documentation throughout **ClawHub Submission Ready:** - All required files present and validated - Under 500-line SKILL.md requirement met - Proper frontmatter with trigger terms - Third-person description - Test agent credentials included ## Technical Achievements ### Code Quality - No checkmarks or decorative elements in user-facing documentation - Consistent formatting across all files - Professional tone and structure - Clear code examples with comments - Real working patterns (not pseudocode) ### Documentation Quality - Progressive disclosure from basic to advanced - Cross-references between related topics - Consistent terminology throughout - Search-optimized with relevant keywords - AI agent-friendly structure ### Metadata - Complete package.json with all required fields - Proper OpenClaw compatibility declarations - Test agent configuration included - Repository and bug tracker URLs - Upstream protocol attribution ## Release Statistics **Files Created:** 11 markdown files + package.json + LICENSE **Total Lines:** 5,612 lines of documentation **Code Examples:** 1,030 lines of real-world examples **Tasks Documented:** 8 complete AdCP tasks **Channels Supported:** 6 advertising channels **Protocols:** 2 (MCP and A2A) ## What's Next This initial release provides a complete, production-ready skill for advertising automation. Future enhancements may include: - Webhook integration examples - Advanced optimization algorithms - Pre-built campaign templates - Reporting dashboard examples - Analytics platform integrations - Budget forecasting and predictive pacing ## Installation ```bash # Via ClawHub (when published) openclaw skills install adcp-advertising # Manual Installation cd ~/.openclaw/workspace/skills/ git clone https://github.com/edyyy62/openclaw-adcp adcp-advertising openclaw gateway restart ``` ## Quick Start After installation: ``` "What advertising capabilities do I have access to?" "Find video advertising inventory for a tech company" "Create a display campaign targeting professionals in New York" ``` ## Links - **Repository**: https://github.com/edyyy62/openclaw-adcp - **Official AdCP**: https://github.com/adcontextprotocol/adcp - **AdCP Documentation**: https://docs.adcontextprotocol.org - **Test Environment**: https://testing.adcontextprotocol.org --- **v1.0.0** marks the successful completion of a comprehensive, production-ready skill that brings professional advertising automation to OpenClaw agents. The skill is ready for ClawHub submission and community distribution.

Frequently asked questions

AdCP is a protocol layer, so platform support depends on available connectors. Common platforms like Google Ads and Meta Ads are typically supported. Check the skill documentation for the current list of supported platforms.

Installation method

Send this prompt to your agent to install the skill

npx clawhub@latest install adcp-advertising
Download ZIP

Skill info

Versionv1.0.1
Authoredyyy62
UpdatedJan 31, 2026

Files

SKILL.md15.9 KB

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Skill data sourced from ClawHub