Plan interview

Skill VRIL-LABS/skill-jam/skills/ai-ml/claude-skills-main/claude-skills-main/plugins/plan-interview/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.From its SKILL.md

Install

npx -y skills add VRIL-LABS/skill-jam --skill plan-interview

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SKILL.md

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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:

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:

/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

Foundations & Scope - Stakeholders, success criteria, constraints, MVP scope
Technical Deep-Dive - Architecture, data models, scalability, security
User Experience - Personas, flows, cognitive load, error recovery
Risks & Tradeoffs - Risk categorization, blast radius, contingency plans
Operationalization - Testing, deployment, monitoring
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

What ships with it: 6 files

38.1 KB alongside SKILL.md