bm-analyzer
현재 레포지토리의 서비스를 BM(비즈니스 모델) 관점에서 완벽하게 분석합니다. 여러 BM 전문가 에이전트(수익 전략가, 시장 분석가, 사용자 가치 분석가, 성장 전략가)가 병렬로 다방면에서 분석하고, 수익화 방안과 개선점을 제시합니다. "BM 분석", "수익화 분석", "비즈니스 모델 분석", "서비스 분석" 요청 시 활성화됩니다.
SKILL.mdbusiness/bm-analyzer
GitHubBusiness Model Analyzer
Multi-agent BM analysis with monetization recommendations.
Expert Agents
| Agent | Focus | Output |
|---|---|---|
| Revenue Strategist | Pricing, monetization | Revenue model options |
| Market Analyst | Competition, positioning | Market opportunity |
| User Value Analyst | Value proposition | User segments, needs |
| Growth Strategist | Acquisition, retention | Growth levers |
Workflow
Step 1: Codebase Analysis
Extract from code:
- Core features (routes, components)
- Data models (what's stored)
- Integrations (external services)
- User flows (auth, onboarding)
Step 2: Run Expert Agents (parallel)
Each agent analyzes from their perspective:
Task: Analyze {project} as {expert_role}
Output: .context/bm/{agent}.md
Step 3: Synthesize
Combine analyses into unified report:
- Value proposition summary
- Revenue model recommendations
- Market positioning
- Growth strategy
Output Format
# BM Analysis: {Project}
## Value Proposition
What unique value does this provide?
## Revenue Models
1. **{model}**: {why it fits this service's users and cost structure}
2. **{model}**: {why it fits, and what it trades off against #1}
## Market Position
- Target: {segment}
- Competitors: {list}
- Differentiator: {unique feature}
## Growth Strategy
- Acquisition: {channels}
- Retention: {tactics}
- Expansion: {upsell opportunities}
## Recommendations
1. Start with {model}
2. Focus on {segment}
3. Build {feature} for monetization
Best Practices
- Run all agents in parallel for speed
- Prioritize recommendations by feasibility
- Include rough revenue estimates