Ai product strategy

Skill varunk130/claude-code-skills/skills/product-management/ai-product-strategy

Develop AI product strategy and identify AI opportunities for your product. Use when: ai strategy, ai product, ai features, ai roadmap, ai opportunities, build vs buy ai.From its SKILL.md

Install

npx -y skills add varunk130/claude-code-skills --skill ai-product-strategy

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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SKILL.md

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AI Product Strategy

Develop AI product strategy and identify AI opportunities for your product.

When to Use This Skill

Evaluating AI opportunities for your product
Deciding between build, buy, or partner for AI features
Assessing data readiness and moat potential
Planning AI feature roadmap
Evaluating AI vendors or partners

Process

Step 1: Check Your Context

Read context files to understand product and market position.

Step 2: Identify AI Opportunity Areas

Categories: Automation, Prediction, Personalization, Content Generation, Data Analysis, Decision Support.

Step 3: Build vs Buy vs Partner Analysis

Evaluate approach for top opportunities.

Step 4: Data Moat Assessment

Evaluate proprietary data, flywheel effects, replicability, and time to defensibility.

Step 5: UX and Trust Considerations

Transparency, user control, graceful failures, progressive disclosure, trust building.

Step 6: Implementation Roadmap

Phase 1: MVP → Phase 2: Expansion → Phase 3: Differentiation

Step 7: Risk and Mitigation Planning

Value, usability, feasibility, and viability risks.

Framework Reference

Marty Cagan's V/U/F/V Risk Framework
Andrew Ng's AI Transformation Playbook
Ben Evans on AI Moats
Julie Zhuo on Product Strategy

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.