dvcrn saas-decomposer
SaaS → AIaaS Conversion Analysis Engine
Decomposes existing SaaS services and identifies areas replaceable by AI agent skills to establish internalization roadmap.
Core Concept: SaaS → AIaaS Conversion Analysis
Mupengism's core vision: "End of SaaS → AIaaS"
- The entire $200B SaaS market is flipping
- From selling software era to installing AI labor era
- Analyze which parts of existing SaaS functions can be replaced by AI agent skills
Features
1. SaaS Service Decomposition (Decompose)
Input: SaaS service URL or name
Process:
- Crawl service landing/feature pages with
web_fetch - Extract core function list
- Decompose each function into atomic tasks
- Assign AI replaceability score (1-5)
- Map coverage by existing Mupeng skills
Output Format:
## [Service Name] Decomposition Results
### Function List
- Function A (AI replacement: ⭐⭐⭐⭐⭐) → Existing skill: copywriting
- Function B (AI replacement: ⭐⭐⭐) → New skill needed
- Function C (AI replacement: ⭐) → Infrastructure development needed
### AI Replacement Rate: 70%
### New Skills Needed: 3
### Estimated Development Time: 2 weeks
2. Internalization Plan
Generate development roadmap based on decomposition results:
- Skill development priority (highest replacement effect first)
- Map existing skill reuse
- Auto-generate new skill spec drafts
- Cost comparison: SaaS subscription vs self-skill operation
Example:
### Internalization Roadmap
#### Phase 1: Quick Wins (1 week)
- [Use existing skill] Automate email templates with copywriting
- [Use existing skill] Automate customer responses with auto-reply
#### Phase 2: New Skill Development (2 weeks)
- lead-scorer: Lead scoring algorithm
- campaign-optimizer: A/B test automation
#### Phase 3: Infrastructure (4 weeks)
- Build data pipeline
- Real-time sync system
### Cost Comparison
- HubSpot Pro: $800/mo → Mupeng skillpack: $120/mo (85% savings)
3. Competitive SaaS Comparative Analysis
Simultaneous decomposition of 3-5 SaaS in same category:
- Function cross-comparison table
- AI replacement area overlap analysis
- "What % of these SaaS can our skillpack replace" calculation
Example:
### Marketing SaaS Comparison
| Function | HubSpot | Mailchimp | ActiveCampaign | Mupeng Replacement |
|----------|---------|-----------|----------------|-------------------|
| Email automation | ✅ | ✅ | ✅ | ⭐⭐⭐⭐⭐ auto-reply |
| Lead scoring | ✅ | ❌ | ✅ | ⭐⭐⭐ (new skill) |
| A/B testing | ✅ | ✅ | ✅ | ⭐⭐⭐⭐ copywriting |
| CRM integration | ✅ | ⚠️ | ✅ | ⭐⭐ (infrastructure needed) |
**Overall Replacement Rate**: 65%
4. Industry-specific SaaS → AIaaS Conversion Templates
Pre-defined industry-specific SaaS decomposition patterns:
Marketing
- SaaS: HubSpot, Mailchimp
- Mupeng replacement:
auto-reply+copywriting+mail+seo-content-planner
Project Management
- SaaS: Notion, Jira
- Mupeng replacement:
decision-log+daily-report+git-auto
Customer Management
- SaaS: Salesforce, Zendesk
- Mupeng replacement:
auto-reply+notification-hub+data-scraper
Accounting
- SaaS: QuickBooks
- Mupeng replacement:
invoice-gen+tokenmeter(cost tracking)
Content
- SaaS: Canva, Buffer
- Mupeng replacement:
cardnews+social-publisher+content-recycler
Student Council (AssoAI Model)
- SaaS: EveryTime + Notion + CampusGroups
- Mupeng replacement: Ref →
memory/2026-02-09-insight-university-saas.md
Analysis Framework
1. Crawl — Collect service functions (web_fetch + data-scraper)
2. Decompose — Break into atomic tasks
3. Score — AI replaceability score (1-5)
4. Map — Map to existing Mupeng skills
5. Gap — Identify missing skills
6. Plan — Generate development roadmap
7. Compare — Cost comparison (SaaS vs AIaaS)
Usage Examples
Basic Decomposition
User: "Decompose HubSpot"
→ Execute Crawl + Decompose + Score + Map
→ Output decomposition results report
Internalization Plan Generation
User: "What do I need to replace Notion with AI?"
→ Execute Decompose + Internalize
→ Output roadmap + cost comparison
Competitive Analysis
User: "Compare marketing SaaS"
→ Simultaneously analyze HubSpot, Mailchimp, ActiveCampaign
→ Cross-comparison table + replacement rate calculation
Event Bus
Generated Events
events/saas-analysis-YYYY-MM-DD.json(when analysis complete)
Consumers
business-planner: Use analysis results in business plans
Reference Files
Memory to reference during analysis:
memory/2026-02-09-insight-university-saas.md— University SaaS market analysis (CampusGroups, EveryTime)memory/2026-02-09-assoai-pitchdeck.md— AssoAI (Student Council SaaS → AI automation)memory/consolidated/doyak-business-plan.md— "Reduce SaaS licenses 50%, replace with AI" (Publicis Sapient)memory/research/absorb-frameworks.md— Framework analysis (MetaGPT, OpenHands, etc.)SOUL.md— Mupengism vision: "The entire $200B SaaS market is flipping"
AI Replaceability Score Criteria
| Score | Meaning | Examples |
|---|---|---|
| ⭐⭐⭐⭐⭐ | Immediately replaceable (use existing skills) | Auto email response, content generation |
| ⭐⭐⭐⭐ | Replaceable with lightweight skill development (1-2 weeks) | Lead scoring, A/B testing |
| ⭐⭐⭐ | Medium development needed (2-4 weeks) | Workflow engine, dashboard |
| ⭐⭐ | Infrastructure development needed (1-2 months) | Real-time sync, data pipeline |
| ⭐ | Long-term R&D needed (3+ months) | Advanced ML models, complex integrations |
Troubleshooting
When web_fetch Fails
- Take snapshot with browser tool and analyze
- Prioritize crawling public docs (help center, pricing page)
When Competitor Info Insufficient
- Reference industry templates first
- Utilize similar category SaaS patterns
When Cost Comparison Data Missing
- Crawl pricing pages
- Estimate industry average subscription fees
🐧 Built by 무펭이 — Mupengism ecosystem skill