modu-ai/agency-client-interview
.claude/skills/agency-client-interview/SKILL.md
Client discovery interview framework for AI Agency projects covering business objectives, audience analysis, brand context gathering, and structured question flows that adapt to user patterns over time.
$ install --global
skillsauthnpx skillsauth add modu-ai/moai-adk agency-client-interviewInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Last scanned: Apr 15, 2026, 11:36 AM25.5s1 file scanned
SKILL.md
- name:
- agency-client-interview
- description:
- >
- license:
- Apache-2.0
- compatibility:
- Designed for Claude Code
- allowed-tools:
- Read, Grep, Glob
- user-invocable:
- false
- version:
- 1.0.0
- category:
- agency
- status:
- active
- updated:
- 2026-04-02
- evolution_count:
- 0
- confidence_score:
- 0.00
- base_context:
- target-audience.md
- tags:
- interview, discovery, context-gathering, client, onboarding, brief
- related-skills:
- agency-copywriting
- enabled:
- true
- level1_tokens:
- 100
- level2_tokens:
- 5000
- keywords:
- ["interview", "brief", "discovery", "onboarding", "context", "client", "requirements"]
- agents:
- ["planner", "copywriter"]
- phases:
- ["plan"]
Agency Client Interview Skill
Governs the client discovery process for AI Agency projects. Provides structured question flows, progressive disclosure of interview depth, and context file generation for .agency/context/.
Static Zone
Identity
Purpose: Define interview question frameworks, context gathering strategies, and structured output formats for populating .agency/context/ files during project onboarding.
Input Contract:
- User request (natural language description of desired project)
- Existing
.agency/context/files (may be empty on first run)
Output Contract:
- Populated
.agency/context/files:brand-voice.md— tone, style, language preferencestarget-audience.md— customer personas, pain pointsvisual-identity.md— colors, fonts, imagery preferencestech-preferences.md— framework, hosting, integrationsquality-standards.md— performance targets, accessibility level
Owner: .agency/context/target-audience.md
Core Principles
Derived from Brand Context. Never auto-modified. Manual editing only.
- Empathetic questioning — understand the WHY before the WHAT
- Progressive disclosure — start broad, drill down based on answers
- Business-first — always connect technical decisions to business outcomes
- No assumptions — ask, don't guess (especially for brand voice and audience)
- Respect user's time — skip questions already answered in context files
Default Interview Flow
Phase 1: Business Context (3 questions)
- What is the primary business objective for this project?
- Who is your target customer? (age, role, pain points)
- What does success look like? (specific KPIs if possible)
Phase 2: Brand Identity (3 questions) 4. How would you describe your brand voice? (3-5 adjectives) 5. Are there reference sites or brands you admire? 6. Any design preferences or constraints? (colors, style, existing brand guidelines)
Phase 3: Technical Scope (2 questions) 7. What pages/sections do you need? 8. Any technical requirements? (framework, hosting, integrations)
Phase 4: Quality Expectations (1 question) 9. What matters most to you? (speed, design quality, mobile experience, SEO)
Adaptive Behavior
- If
.agency/context/files already have content, skip covered questions - If user has completed 5+ projects, reduce to 3 key questions only
- Learn which questions users skip or answer briefly → reduce priority
Dynamic Zone
Interview questions, order, and depth evolve via user feedback.
Rules
(No rules yet. Rules will be added as the system learns from user feedback.)
Anti-Patterns
(No anti-patterns yet.)
Heuristics
(No heuristics yet.)
Evolution Log
- v1.0.0: Initial creation (Static Zone with default interview flow, empty Dynamic Zone)
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