Saas Decomposer

Web SaaS service decomposition and AI internalization development plan generation. Analyze existing SaaS to identify functions replaceable by AI agents and e...

Security Scan

The skill's requested actions (web crawling, decomposing SaaS features, mapping to internal skills, and producing roadmaps) align with its description and it requests no unexpected installs or credentials.

Purpose & Capability

Name/description (SaaS decomposition → AI internalization) matches the SKILL.md workflow: crawl pages, extract functions, score AI replaceability, map to skills and produce a roadmap/cost comparison.

Instruction Scope

Runtime instructions use agent tools like web_fetch and data-scraper, reference agent memory files (memory/...) and instruct writing event files (events/saas-analysis-YYYY-MM-DD.json). Those are coherent with the purpose but the skill assumes the agent has web-fetching and workspace/memory access; verify the agent environment's policies (robots/hosts) and that referenced memory files are intended to be read.

Install Mechanism

Instruction-only skill with no install spec and no code files — lowest-risk install footprint.

Credentials

No environment variables, credentials, or external config paths are requested. The actions described (HTTP crawling, text analysis, file outputs) do not require secrets.

Persistence & Privilege

The skill will write analysis outputs/events and references agent memory files; always:false and default autonomous invocation are set. This is reasonable for its purpose, but you should expect it to create workspace files and consult agent memory during analysis.

Assessment

This skill is internally consistent with its stated purpose, but before installing: 1) Confirm your agent is allowed to fetch the target sites (respect robots.txt and organizational policies). 2) Review and control the agent workspace and memory the skill may read (the SKILL.md references memory/... files) so it doesn't access unexpected notes. 3) Expect the skill to write analysis JSON files (events/...), so ensure you are comfortable with those files being created and stored. 4) Test on public/non-sensitive SaaS landing pages first to verify behavior. If you want extra caution, restrict the agent's outbound network access or run the skill in a sandboxed workspace.

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

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Features

1. SaaS Service Decomposition (Decompose)

Input: SaaS service URL or name

Process:

1. Crawl service landing/feature pages with web_fetch
2. Extract core function list
3. Decompose each function into atomic tasks
4. Assign AI replaceability score (1-5)
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

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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)

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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%

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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

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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)

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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

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Event Bus

Generated Events

• events/saas-analysis-YYYY-MM-DD.json (when analysis complete)

Consumers

• business-planner: Use analysis results in business plans

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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"

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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

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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

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🐧 Built by 무펭이 — Mupengism ecosystem skill