Agent Skills for Claude AI that help you choose and apply proven strategic frameworks for decision-making, problem-solving, and strategic thinking. Master structured thinking with 48 proven frameworks.
git clone https://github.com/Przemocny/strategic-frameworks.gitStrategic-frameworks is an automation skill for Claude AI that provides access to 48 proven strategic frameworks designed to improve decision-making, problem-solving, and strategic thinking. The skill helps users apply structured thinking methodologies to complex challenges by offering a curated collection of established frameworks. Owned by Przemocny, this skill enables AI agents to guide users through choosing and implementing the right framework for their specific situation.
1. **Select the Right Framework:** Choose a strategic framework that aligns with your business scenario. For market expansion, use Ansoff Matrix or Blue Ocean Strategy. For internal alignment, use McKinsey 7-S or Balanced Scorecard. 2. **Define Your Inputs:** Clearly articulate the [BUSINESS_SCENARIO], [TEAM_ROLE], and any specific constraints (e.g., budget, timeline). Use bullet points to list key details before running the analysis. 3. **Run the Analysis:** Paste the prompt into your AI tool (e.g., Claude or ChatGPT) and replace the placeholders with your specific inputs. Use the framework’s key questions to guide the AI’s response (e.g., for SWOT: 'What are our strengths?', 'What threats exist in the market?'). 4. **Refine and Prioritize:** Review the AI’s output for gaps or inconsistencies. Ask follow-up questions like, 'What are the top 3 risks not mentioned?' or 'How would this plan change if our budget were reduced by 30%?' 5. **Integrate with Tools:** Use Sortd to track the action plan by creating a kanban board for each phase. Assign tasks to team members, set deadlines, and monitor progress in real-time. Tag emails or tasks related to the strategic initiative for easy reference. **Tips for Better Results:** - Provide as much context as possible (e.g., market data, customer feedback, competitor analysis). - Specify the desired output format (e.g., bullet points, tables, or detailed reports). - Use the AI’s follow-up questions to dive deeper into specific areas (e.g., 'Explain the financial implications of this strategy in more detail.').
Selecting an appropriate decision-making framework when facing multiple strategic options
Applying structured problem-solving frameworks to business challenges
Guiding teams through proven strategic thinking methodologies
Breaking down complex problems using established analytical frameworks
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/Przemocny/strategic-frameworksCopy 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.
Use the [STRATEGIC_FRAMEWORK] to analyze [BUSINESS_SCENARIO]. Identify the top 3 risks or opportunities, then recommend a prioritized action plan with specific next steps for [TEAM_ROLE]. Use the framework's key questions to guide your analysis. Framework options: SWOT, Porter's Five Forces, Ansoff Matrix, Blue Ocean Strategy, BCG Growth-Share Matrix, McKinsey 7-S, Balanced Scorecard, or GE-McKinsey Matrix. Example: 'Use the Blue Ocean Strategy framework to analyze the current market position of Acme Corp’s widget division. Identify three untapped market opportunities and recommend a prioritized action plan for the product team.'
### Strategic Analysis: Acme Corp’s Widget Division Using Blue Ocean Strategy **Current Market Position:** Acme Corp’s widget division operates in a highly competitive market dominated by three major players (WidgetMax, GlobalGadgets, and TechTools), all competing on price and incremental feature improvements. The division holds a 12% market share with declining profit margins due to commoditization. Customer feedback indicates dissatisfaction with the lack of customization and high maintenance costs. **Blue Ocean Analysis:** 1. **Eliminate:** High maintenance contracts and standardized product offerings. 2. **Reduce:** Focus on premium pricing by reducing mid-tier product lines. 3. **Raise:** Customization options and proactive customer support. 4. **Create:** A subscription-based model for widgets with AI-driven predictive maintenance and real-time performance analytics. **Top 3 Opportunities Identified:** 1. **Subscription-Based Custom Widgets:** Target small to mid-sized manufacturers who need tailored solutions but lack in-house engineering resources. Projected revenue: $2.1M annually within 18 months. 2. **AI-Powered Predictive Maintenance:** Partner with industrial IoT platforms to offer predictive maintenance as a service. Potential to reduce customer downtime by 40% and increase retention rates by 25%. 3. **Premium Tier Widgets:** Launch a high-end line with modular components and lifetime warranties. Position as a luxury option for enterprises with critical applications. Expected margin improvement: 18%. **Prioritized Action Plan for Product Team:** **Phase 1 (0-3 Months):** - Conduct customer interviews with 20 existing clients to validate demand for customization and subscription models. - Partner with a third-party IoT provider to pilot predictive maintenance features in Q1. - Develop a minimum viable product (MVP) for the premium tier widgets with a target launch in Q2. **Phase 2 (3-6 Months):** - Launch a beta program for the subscription-based custom widgets with 5 key customers. - Integrate predictive maintenance features into the existing product line and measure impact on customer satisfaction. - Begin marketing the premium tier widgets to high-value leads identified in the sales pipeline. **Phase 3 (6-12 Months):** - Scale the subscription model based on beta feedback and expand to 50+ customers. - Roll out predictive maintenance as a standard feature for all new widget sales. - Achieve 5% market share in the premium segment and 3% in the subscription segment. **Key Metrics to Track:** - Customer acquisition cost (CAC) for new subscription model. - Customer lifetime value (CLV) in the premium tier. - Reduction in customer support tickets due to predictive maintenance. **Risks and Mitigation:** - **Risk:** Low adoption of subscription model due to resistance to change. **Mitigation:** Offer a 6-month discount for early adopters and provide onboarding training. - **Risk:** Integration challenges with IoT platforms. **Mitigation:** Allocate 20% of the development budget to third-party integration testing. - **Risk:** Cannibalization of existing sales. **Mitigation:** Position premium tier as complementary, not replacement, and train sales teams on upselling strategies.
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