skills/ secondsky/claude-skills

plan-interview

Adaptive interview-driven spec generation. Use when converting rough plans into comprehensive specifications, needing structured requirements gathering, or transforming ideas into implementation-ready documentation.

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Plan Interview Skill

Transform rough plans into comprehensive, implementation-ready specifications through adaptive, structured interviews.

When to Use

  • Converting a plan or idea into a detailed specification
  • Gathering requirements through structured questioning
  • Transforming rough documentation into implementation-ready specs
  • Ensuring all edge cases, risks, and stakeholders are considered before implementation

Available Components

Command: /plan-interview:interview [plan-file]

Adaptive interview that calibrates depth based on plan complexity:

ComplexitySignalsQuestions
SimpleSingle feature, clear scope10-15
ModerateMulti-component, some integrations18-23
ComplexCross-system, many stakeholders22-28

Usage:

/plan-interview:interview docs/feature-plan.md
# Output: docs/feature-plan-spec.md

Agent: spec-reviewer

Autonomous quality analysis of specifications across 4 dimensions:

  • Completeness (25 pts) - All sections populated?
  • Consistency (25 pts) - No contradictions?
  • Clarity (25 pts) - No ambiguous language?
  • Edge Cases (25 pts) - Error handling defined?

Triggers when you say "review my spec" or "check specification quality".

Interview Phases

  1. Foundations & Scope - Stakeholders, success criteria, constraints, MVP scope
  2. Technical Deep-Dive - Architecture, data models, scalability, security
  3. User Experience - Personas, flows, cognitive load, error recovery
  4. Risks & Tradeoffs - Risk categorization, blast radius, contingency plans
  5. Operationalization - Testing, deployment, monitoring
  6. Wrap-Up (optional) - Only for complex plans with remaining gaps

Interview Philosophy

Core Principle: Depth over breadth. Better to deeply understand critical aspects than superficially cover everything.

Key Techniques:

  • Non-obvious questions - Skip what the plan already answers
  • Edge probing - What happens in unusual cases?
  • Assumption surfacing - Make implicit beliefs explicit
  • Contradiction detection - Flag when answers don't align
  • Adaptive depth - Probe deeper on complex areas, move faster on clear ones

Spec Output Structure

Generated specs include:

  • Overview (problem, solution, success criteria, stakeholders)
  • Functional and non-functional requirements
  • Technical design (architecture, data models, APIs, security)
  • User experience (personas, flows, states, edge cases)
  • Risks and mitigations (risk register, tradeoffs, contingency plans)
  • Implementation notes (key decisions, dependencies, migration)
  • Operationalization (testing, deployment, monitoring)
  • Open questions and out-of-scope items
  • Phasing (MVP vs future)

References

Load these for deeper guidance during interviews:

  • references/phase-1-clarifications.md - Foundations questions and pitfalls
  • references/phase-2-technical.md - Architecture discussion patterns
  • references/phase-3-ux.md - Persona development, UX patterns
  • references/phase-4-risks.md - Risk assessment frameworks
  • references/interview-techniques.md - Cross-cutting interview skills
  • references/example-spec.md - Annotated high-quality spec example

Files

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