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Agent Skill · 研究检索

saas-decomposer(saas 分解器)

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。

saas-decomposer 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为操作浏览器;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 5,848。

总安装 24,164周安装 1,017GitHub Stars 公开资料未说明下载 8,461核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

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

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install saas-decomposer

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install saas-decomposer;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

saas-decomposer 怎么安装?

在终端执行 openclaw skills install saas-decomposer。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

saas-decomposer 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

saas-decomposer 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

saas-decomposer 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

saas-decomposer 用的人多吗?

公开数据是累计安装 24,164 次,近一周安装 1,017 次,下载 8,461 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

saas-decomposer 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
saas-decomposer

saas 分解器 · 本页

24,164—操作浏览器MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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 무펭이 — Mupengism ecosystem skill

平台分布

OpenClaw

76.75%
按下载量换算6,494

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

未展示

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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