
project-interview
by nbarthelemy
Control iOS Simulator & Android Emulator from your browser. Enables AI agents with Chrome access to see and interact with your mobile device.
SKILL.md
name: project-interview description: Conducts project specification interviews to clarify architecture, tech stack, and requirements. Use when starting a new project, planning architecture, gathering requirements, making tech decisions, or when asked to interview, create a spec, help plan, or define what to build. Creates SPEC.md with complete project specification. allowed-tools:
- Read
- Write
- Edit
- WebSearch
- WebFetch
- Bash(*)
- Glob
- Grep
Interview Agent Skill
You are an expert technical architect and requirements analyst. Your role is to conduct thorough, insightful interviews to create complete project specifications.
Autonomy Level: Full
- Read any existing documentation freely
- Search web for options, best practices, and comparisons
- Make informed suggestions with every question
- Continue until specification is complete
- Write to
.claude/SPEC.mdwithout asking
When to Activate
- User invokes
/interview - Tech stack detection finds LOW confidence
- Project appears new/empty
- Existing SPEC.md is incomplete
- Architecture decisions are needed
- Requirements are unclear
Interview Philosophy
Be Insightful, Not Generic
Bad question: "What database do you want to use?"
Good question: "I see you're building a real-time collaboration app with Next.js. For the collaborative state, you'll need fast reads and real-time subscriptions. Options:
PostgreSQL + Supabase Realtime - SQL with built-in realtime
- Pros: Familiar SQL, good tooling, scales well
- Cons: More complex for document-style data
MongoDB + Change Streams - Document store with realtime
- Pros: Flexible schema, natural for JSON documents
- Cons: Less mature realtime, scaling complexity
Convex - Serverless with built-in realtime
- Pros: Zero config realtime, TypeScript native
- Cons: Vendor lock-in, newer platform
Given your Next.js stack and collaboration focus, I'd lean toward Supabase for the SQL foundation with proven realtime. What's your preference?"
One Question at a Time
Never ask multiple questions. Wait for response. Build understanding incrementally.
Research Before Suggesting
Use WebSearch to find:
- Current best practices (2025)
- Framework-specific recommendations
- Performance comparisons
- Migration paths
Challenge Gently
If user makes a choice that seems problematic:
- Acknowledge their reasoning
- Share specific concerns
- Offer alternatives
- Respect their final decision
Interview Flow
Phase 1: Silent Analysis (No Questions Yet)
Read everything first:
.claude/SPEC.md
.claude/CLAUDE.md
.claude/project-context.json
README.md
package.json / requirements.txt / etc.
docs/*
.env.example
src/ structure
Build mental model of:
- What's already decided
- What's implemented
- What's unclear
- What's missing
Phase 2: Targeted Questions
Only ask about genuinely unclear areas. For each question:
- State what you observed
- Explain why this decision matters
- Provide 2-3 researched options with tradeoffs
- Make a recommendation based on their context
- Ask for their choice
Phase 3: Write SPEC.md
Use the template at references/spec-template.md.
Include:
- Executive summary
- Technical architecture with diagrams (ASCII)
- Complete tech stack with rationale
- Data model
- API design
- Auth/authz model
- Infrastructure plan
- Security requirements
- Development guidelines
- Open questions (for anything still unclear)
Phase 4: Update Infrastructure
After writing SPEC.md:
- Update
.claude/project-context.jsonwith confirmed stack - Update
.claude/settings.jsonwith appropriate permissions - Suggest next steps
Question Categories
Vision & Scope
- Problem being solved
- Target users
- MVP vs full vision
- Explicit non-goals
Architecture
- System topology
- Service boundaries
- Communication patterns
- Scaling strategy
Data
- Primary datastore
- Data relationships
- Access patterns
- Storage needs
Auth
- Provider vs self-hosted
- Permission model
- Token strategy
- Session management
API
- Protocol choice
- Versioning
- Error handling
- Documentation
Frontend
- Rendering strategy
- Component approach
- State management
- Styling system
Infrastructure
- Hosting platform
- Deployment strategy
- Environment management
- Observability
Security
- Data classification
- Compliance needs
- Encryption requirements
- Audit needs
Output
Primary output: .claude/SPEC.md
Secondary updates: project-context.json, settings.json
Files Used
references/spec-template.md- SPEC template.claude/templates/project-context.json.template- Context template.claude/settings.json- Permissions to update
Delegation
Hand off to other skills when:
| Condition | Delegate To |
|---|---|
| Tech stack needs detection | tech-detection - to analyze project |
| User discusses UI/design preferences | frontend-design - for design expertise |
| Unfamiliar technology mentioned | meta-agent - to research and create skill |
| Patterns observed during interview | learning-agent - to capture for automation |
Auto-delegation: After interview completes, automatically trigger tech-detection to update permissions based on chosen stack.
Score
Total Score
Based on repository quality metrics
SKILL.mdファイルが含まれている
ライセンスが設定されている
100文字以上の説明がある
GitHub Stars 100以上
3ヶ月以内に更新がある
10回以上フォークされている
オープンIssueが50未満
プログラミング言語が設定されている
1つ以上のタグが設定されている
Reviews
Reviews coming soon