Enterprise AI skills for operations teams. Access McKinsey consulting frameworks, PM workflows, and practical tools. Currently supports Claude, with expansion to other LLMs. Integrates with Python workflows.
git clone https://github.com/sruthir28/enterprise-ai-skills.gitEnterprise AI skills for operations teams. Access McKinsey consulting frameworks, PM workflows, and practical tools. Currently supports Claude, with expansion to other LLMs. Integrates with Python workflows.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/sruthir28/enterprise-ai-skillsCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Act as an enterprise AI consultant for [COMPANY], a [INDUSTRY] company. Use McKinsey consulting frameworks to analyze [DATA] and provide actionable insights. Focus on operational efficiency and strategic decision-making.
# Enterprise AI Consulting Report for GreenTech Solutions ## Executive Summary Based on the provided data, GreenTech Solutions can improve operational efficiency by 23% through strategic realignment of supply chain processes. ## Key Findings - **Supply Chain Bottlenecks**: Current logistics processes result in a 15% delay in product delivery. - **Inventory Management**: Excess inventory levels lead to increased holding costs by 12%. - **Workforce Utilization**: Underutilization of skilled labor results in a 10% loss in productivity. ## Recommendations 1. **Implement Lean Six Sigma**: Streamline supply chain processes to reduce delays and improve delivery times. 2. **Adopt Just-in-Time Inventory**: Reduce excess inventory levels to lower holding costs. 3. **Optimize Workforce Allocation**: Utilize skilled labor more effectively to improve productivity. ## Implementation Plan - **Phase 1**: Conduct a detailed analysis of current processes and identify areas for improvement. - **Phase 2**: Develop and implement a pilot program for the recommended changes. - **Phase 3**: Monitor and evaluate the pilot program, then scale successful changes across the organization.
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