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.
Works with
--- name: plan-interview description: Adaptive interview-driven spec generation. Use when converting rough plans into comprehensive specifications, needing structured requirements gathering, or transforming ideas into implementation-ready documentation. license: MIT --- # 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: | Complexity | Signals | Questions | |------------|---------|-----------| | **Simple** | Single feature, clear scope | 10-15 | | **Moderate** | Multi-component, some integrations | 18-23 | | **Complex** | Cross-system, many stakeholders | 22-28 | **Usage:** ```bash /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
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