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saas-decomposersaas 分解器

Agent Skill

saas-decomposer 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

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请帮我安装这个 Agent Skill:saas-decomposer(saas 分解器)
来源仓库:https://github.com/mupengi-bot/saas-decomposer
安装命令:
openclaw skills install saas-decomposer
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

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openclaw skills install saas-decomposer

简介

用于分解 Web SaaS 服务功能模块,识别可被 AI 代理替代的业务环节。

  • 支持现有产品架构分析与内部化转型计划制定,输出可行性评估报告。
  • 适合在战略转型或技术选型阶段提供参考依据,不承诺具体实现效果。
  • 安装命令:openclaw skills install saas-decomposer,来源仓库:https://github.com/mupengi-bot/saas-decomposer。
  • 使用时应避免直接修改生产环境配置,优先在沙箱环境中测试变更影响。

SKILL.md

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

ScoreMeaningExamples
⭐⭐⭐⭐⭐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 무펭이Mupengism ecosystem skill

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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