技能 foundations-problem-solution-fit
🎯

foundations-problem-solution-fit

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Validate problems and design solutions

Building products without validating real customer problems leads to wasted investment. This skill provides structured frameworks to discover, prioritize, and validate problems before committing to solutions. It ensures strong problem-solution fit before significant development effort.

支援: Claude Codex Code(CC)
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前往 設定 → 功能 → 技能 → 上傳技能

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測試它

正在使用「foundations-problem-solution-fit」。 Help me validate that personalized skincare recommendations is a real problem worth solving

預期結果:

  • Validated Problem Stack Rank: Can't find products for unique skin type (Severity: 5/5, Frequency: Daily, Evidence: 12/15 interviews)
  • Existing Alternatives: Manual trial and error (Satisfaction: 2/5), Competitor solutions lack personalization depth
  • Recommended Solution: AI-powered skin analysis with continuous monitoring
  • Unique Insight: Skin changes seasonally; one-time analysis fails while continuous monitoring wins

正在使用「foundations-problem-solution-fit」。 What should be in our MVP for a project management tool?

預期結果:

  • Core Features: Task creation and tracking, Team collaboration workspace, Basic reporting dashboard
  • Nice-to-Haves: Advanced analytics, Custom workflows, Mobile app
  • Success Metrics: 40% activation rate, 60% week-1 retention, NPS above 30

正在使用「foundations-problem-solution-fit」。 How do we differentiate from established competitors?

預期結果:

  • Competitive Gaps: Existing tools are complex with steep learning curves
  • Switching Barriers: Data migration complexity, team training time
  • Differentiation Angle: Simplify onboarding with AI-powered setup wizard
  • 10x Better: Reduce time-to-value from days to minutes

安全審計

安全
v5 • 1/16/2026

Pure documentation skill containing only structured guidance and frameworks. Contains no executable code, no filesystem access, no network calls, and no external command execution. All static findings are false positives triggered by semantic misinterpretation of documentation text.

2
已掃描檔案
763
分析行數
3
發現項
5
審計總數
審計者: claude 查看審計歷史 →

品質評分

38
架構
100
可維護性
87
內容
22
社群
100
安全
87
規範符合性

你能建構什麼

Validate startup ideas

Discover if your startup idea solves real customer problems worth paying for before building

Define MVP scope

Scope minimum viable product features that solve validated customer problems without overbuilding

Find 10x opportunities

Identify unique insights and defensible advantages to create breakthrough products

試試這些提示

Validate a problem
Help me validate that [specific problem] is a real problem worth solving for [target customer segment]. Use the Problem Discovery workflow to identify the problem, measure its frequency and intensity, and provide evidence from user interviews or market data.
Generate solutions
Generate 5 different solution approaches for solving [validated problem]. Evaluate each for technical feasibility, effort versus impact, and recommend the best option with build versus buy analysis.
Analyze alternatives
Analyze existing solutions to [customer problem] including direct competitors, indirect competitors, and manual workarounds. Identify switching barriers and unmet needs that create competitive advantage opportunities.
Define MVP
Define an MVP for [solution concept]. List core features that directly solve the validated problem, estimate development effort for each, define success metrics for launch, and identify pivot triggers if metrics are not met.

最佳實務

  • Follow the pain by focusing on high-frequency, high-intensity problems with clear evidence
  • Diverge then converge by generating multiple solution options before selecting one
  • Prototype cheaply by testing concepts with mockups before committing to build

避免

  • Asking Would you use X creates false positives; observe actual behavior instead
  • Solving problems you have rather than problems your customers actually face
  • Pursuing incremental improvements that cannot overcome switching costs in crowded markets

常見問題

Which AI tools support this skill?
This skill works with Claude, Codex, and Claude Code. It provides structured prompting frameworks.
What inputs does this skill require?
Required inputs are market intelligence output and validated problem hypotheses from your research.
How does this integrate with other skills?
Receives market context from market-intelligence and provides validated problems to other skills.
Is my data safe with this skill?
This is a prompt-based skill with no code execution. All processing happens within your AI tool.
Why is my output empty or incomplete?
Provide sufficient input context like market segments and problem hypotheses for best results.
How is this different from market-intelligence?
Market-intelligence focuses on markets and competitors. This skill focuses on validating customer problems.

開發者詳情

檔案結構

📄 SKILL.md