Web SaaS service decomposition and AI internalization development plan generation. Analyze existing SaaS to identify functions replaceable by AI agents and e...
--- name: saas-decomposer description: "Web SaaS service decomposition and AI internalization development plan generation. Analyze existing SaaS to identify functions replaceable by AI agents and establish skill-based internalization roadmap. Triggered by 'SaaS analysis', 'service decomposition', 'internalization', 'decompose', 'SaaS replacement', 'build this service with AI', etc." author: 무펭이 🐧 --- # 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**: 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 ``` --- ### 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](https://github.com/mupeng) ecosystem skill
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