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.
Install
$ agentstack add skill-varunk130-claude-code-skills-ai-product-strategy ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
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
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: varunk130
- Source: varunk130/claude-code-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.