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 bundles 13 consulting frameworks from McKinsey methodology into drop-in Claude skills for strategic thinking, decision-making, and presentation. The toolkit includes issue tree builders, hypothesis testing, synthesis, decision memos, storyline builders, and native PowerPoint deck generation with editable charts. Users run top-down workflows that transform fuzzy strategic questions into decision-shaped artifacts—from executive memos to board decks. Built for operations teams, PMs, and strategy leaders who need McKinsey-grade analysis and writing without the consulting retainer.
Clone the repository for Claude Code (skills auto-load), or download individual .skill files to Claude.ai Settings → Skills. The deck pipeline requires Python 3.9+ and python-pptx for local .pptx generation; see the examples folder for sample workflows.
Break down complex strategic decisions using MECE issue trees
Generate McKinsey-style board decks with native editable charts and 4-agent critique pipeline
Write executive memos and decision documents that force yes/no commitments
Map stakeholders and prepare for high-stakes negotiations
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.
AI assistant built for thoughtful, nuanced conversation
Get more done every day with Microsoft Teams – powered by AI
Automate security compliance and monitor real-time security posture seamlessly.
Automate your spreadsheet tasks with AI power
Agentic AI Workflow platform
Connected workspace for docs, wikis, and projects
Take a free 3-minute scan and get personalized AI skill recommendations.
Take free scan