azure-ceo
🥇GoldThe azure-ceo skill uses Azure AI services and a multi-agent architecture to automate scalable marketing campaigns. It combines data-driven strategies with compliance, enhancing marketing efficiency and effectiveness.
1110Updated 2mo ago
Intermediate15 minutes to implementmarketing
Saves ~240 min per use
Quick InstallView Source
claude install cogitomancer/azure-ceoWorks with:
ChatGPTGitHub Copilot
Overview
About This Skill
Azure CEO is a multi-agent AI system built on Semantic Kernel and Azure OpenAI that automates marketing workflows through data-driven decision support. It combines retrieval-augmented generation (RAG) across structured and unstructured data with a modular orchestration layer, enabling teams to generate and test marketing content at scale. The system integrates Azure AI Search for grounding, FastAPI backend services for coordination, and built-in A/B/n testing capabilities to evaluate output quality. A compliance and safety layer handles input validation and Azure Content Safety integration, making it suitable for production marketing environments. This architecture supports both isolated campaign workflows and extensible agent-based systems for enterprise marketing automation.
How to Use
1. **Define Your Campaign Scope:** Fill in [PRODUCT/SERVICE], [TARGET_AUDIENCE], [GEOGRAPHIC_REGION], [KEY_METRIC], [REGULATIONS], and [CHANNELS] in the prompt template. Use Azure AI’s **Language Service** to analyze your product’s unique selling points for content ideas. 2. **Set Compliance Parameters:** Specify regulations (e.g., GDPR, CCPA) and use **Azure Policy** to automate compliance checks. For example, flag leads from the EU if they lack consent. 3. **Leverage Multi-Channel Data:** Upload your CRM, ad platform, and social media data to **Azure AI Services**. Use **Azure Machine Learning** to segment audiences and predict high-intent leads. 4. **Optimize in Real-Time:** Deploy Azure AI tools like **Azure Personalizer** to adjust ad bids or **Azure Bot Service** for instant customer queries. Monitor performance in **Azure AI Studio** and tweak campaigns weekly. 5. **Generate Reports:** Use **Azure AI’s dashboard templates** to visualize KPIs (e.g., CPL, ROAS). Export insights to Power BI for stakeholder reviews. **Tips:** - Start with a pilot campaign (e.g., one product/region) to validate the azure-ceo skill’s outputs. - Use **Azure AI’s A/B testing** features to compare ad creatives or email subject lines. - For compliance, enable **Azure AI’s audit logs** to track data handling for regulatory reviews.
Use Cases
Automating email marketing campaigns
Personalizing customer outreach
Analyzing campaign performance data
Integrating with CRM systems for lead management
Best For
MarketingRevOpsGrowth
Tags
Setup & Installation
Quick Install
Terminal
claude install cogitomancer/azure-ceoAlternative Install (Git Clone)
git clone https://github.com/cogitomancer/azure-ceoRequirements
- Claude Code or compatible AI agent
- Works with: ChatGPT, GitHub Copilot
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
Prompt Template
Act as an Azure AI-powered marketing campaign architect using the azure-ceo skill. Design a scalable, multi-channel marketing campaign for [PRODUCT/SERVICE] targeting [TARGET_AUDIENCE] in [GEOGRAPHIC_REGION]. The campaign must: 1) Prioritize [KEY_METRIC, e.g., lead generation, brand awareness, conversions], 2) Include compliance checks for [REGULATIONS, e.g., GDPR, CCPA], 3) Leverage [CHANNELS, e.g., email, social media, paid ads], and 4) Provide a 30-day execution roadmap with KPIs. Use Azure AI services for optimization and automation where applicable.
Example Output
### **Azure-CEO Marketing Campaign Blueprint: 'EcoCharge Pro' Launch** **Campaign Overview:** We’re launching **EcoCharge Pro**, a premium wireless charger with AI-powered energy optimization, targeting **eco-conscious millennials and Gen Z professionals** in the **U.S. and EU markets**. The campaign prioritizes **lead generation (10,000 qualified leads in 30 days)** and **brand awareness (25% increase in social mentions)** while ensuring **GDPR and CCPA compliance**. Channels include **LinkedIn (B2B), Instagram/TikTok (B2C), email nurture sequences, and Google Ads (search/display)**. **Phase 1: Pre-Launch (Days 1-7)** - **Audience Segmentation:** Azure AI analyzed CRM data to identify high-intent segments: *Sustainability-focused professionals* (LinkedIn) and *tech-savvy students* (Instagram/TikTok). - **Compliance Setup:** Azure Policy enforced GDPR opt-in requirements for EU leads, while CCPA-compliant data handling was configured for U.S. leads. - **Content Strategy:** Generated 5 LinkedIn carousel posts (e.g., "How AI Reduces Energy Waste by 40%") and 3 TikTok shorts (e.g., "Charging Your Phone the Eco Way"). - **KPIs:** 5,000 LinkedIn followers gained; 1,000 email signups via lead magnets (e.g., "Free Energy Audit Guide"). **Phase 2: Launch Week (Days 8-14)** - **Paid Ads:** Google Ads targeted "wireless charger with AI" keywords, with a $15,000 budget. Azure AI optimized bids in real-time, reducing CPA by 22% vs. manual bidding. - **Social Engagement:** Deployed an Azure AI chatbot on Instagram to answer FAQs (e.g., "Does it work with iPhone 15?"). Bot handled 80% of inquiries, freeing up the team for high-touch leads. - **Email Nurture:** Sent a 3-email sequence to leads, personalized using Azure AI’s predictive scoring (e.g., "Based on your interest in sustainability, here’s a discount for EcoCharge Pro"). - **KPIs:** 3,000 leads generated; 15% conversion rate from ad clicks to landing page. **Phase 3: Post-Launch (Days 15-30)** - **Retargeting:** LinkedIn retargeting ads focused on abandoned carts (12% recovery rate). Instagram Stories ads highlighted user-generated content (e.g., unboxing videos). - **Compliance Audits:** Azure AI flagged 47 leads for consent verification (GDPR) and 12 for opt-out requests (CCPA), which were processed within 24 hours. - **Performance Report:** Azure AI generated a dashboard showing: - **Cost per Lead (CPL):** $8.50 (vs. industry avg. $12.00) - **ROAS:** 4.2x (vs. target 3.5x) - **Social Sentiment:** 89% positive mentions - **Next Steps:** Scaled the campaign to Canada and Australia; paused underperforming keywords (e.g., "cheap wireless charger"). **Tools Used:** Azure AI Language (for sentiment analysis), Azure Personalizer (for ad optimization), Azure Form Recognizer (for lead data extraction).
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