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/install home-repair
Description
该技能介绍如何通过上门维修实现变现；当你计划从事或优化上门维修时调用。
README (SKILL.md)
上门维修
概览：
- 场景：以“上门维修”为核心的可复制变现路径
- 目标：在90天内跑通最小可行闭环，并达成正向现金流
定位与人群：
- 适合：具备基础认知或实践经验，愿意持续投入的人/团队
- 不适合：短期套利、违规刷量、无内容/供给能力者
典型渠道：
- 家电/家具、到家服务、平台接单
- 通用补充：微信/抖音/小红书/闲鱼/淘宝/独立站/社群
变现模型：
- 收入结构：主收入 + 辅助收入（广告/佣金/订阅/服务/周边）
- 成本结构：获客成本（CAC）+ 供给/履约 + 固定开销
- 核心指标：GMV、毛利率、转化率、留存、LTV/CAC、复购率
执行流程：
- 01 选赛道与定位：明确供给、目标用户、差异化与定价
- 02 搭MVP：以最低成本验证一个渠道的有效性
- 03 获取流量：内容分发/投放/合作互推，建立追踪
- 04 转化与交付：标准化流程与模板，保证体验与口碑
- 05 复盘与迭代：每周数据盘点，优化漏斗与供给结构
工具清单：
- 生产：文案/设计/剪辑/表格/自动化工具
- 获取：SEO/SEM/信息流/平台任务/达人合作
- 追踪：表格/CRM/数据看板/UTM/埋点
- 履约：工单/客服/交付模板/质检清单
合规与风险：
- 遵守平台政策与法律法规，严禁虚假宣传、刷量、侵权
- 明确版权与交付约定，规范合同与发票
常见坑位：
- 盲目扩渠道、无数据追踪、定价不清、交付不标准
- 过度依赖单平台、忽视复购与会员化
30日执行计划：
- 第1周：定位、选品/供给、搭建MVP与基本素材
- 第2周：上线一个主渠道，跑数据，优化文案与转化
- 第3周：稳定交付流程，建立追踪与看板，启动第二渠道
- 第4周：总结复盘，完善模板与清单，制定90日目标
检查清单：
- 明确目标与指标，完成MVP验证，建立复盘与模板库
- 形成可复制的标准作业流程（SOP）
Usage Guidance
This skill is a safe, read-only business guide: it only provides high-level instructions for running an on-site repair service and does not request credentials or install software. Before installing, note that the source is unknown — treat the content as generic advice rather than professional, legal, or regulatory guidance. Do not provide any personal, financial, or platform credentials to the skill; if a future version asks to install tools or access secrets, revoke or re-evaluate it. If you need region-specific compliance or technical implementation help, consult reputable local resources or professionals.
Capability Analysis
Type: OpenClaw Skill
Name: home-repair
Version: 0.1.0
The skill bundle contains only informational content and business strategy documentation regarding home repair services. There is no executable code, scripts, or instructions that could lead to data exfiltration, unauthorized execution, or prompt injection attacks.
Capability Assessment
Purpose & Capability
The name and description match the SKILL.md content (practical guidance for running/monetizing an on-site repair business). There are no unexpected requirements (no env vars, binaries, or config paths) that would be inconsistent with the stated purpose.
Instruction Scope
SKILL.md contains high-level business processes, channel suggestions, metrics, an execution roadmap, and checklists. It does not instruct the agent to read files, access environment variables, call external endpoints, or perform system-level operations beyond giving advice.
Install Mechanism
No install specification or code files are present; the skill is instruction-only so nothing will be written to disk or installed.
Credentials
The skill requests no credentials, environment variables, or config paths. There is no disproportionate access requested relative to the described business-advice purpose.
Persistence & Privilege
always is false and there is no indication the skill requests persistent system presence or modifies other skill/system configurations. The default ability for the agent to invoke the skill autonomously is unchanged and is normal for skills.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install home-repair - After installation, invoke the skill by name or use
/home-repair - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
上门维修技能上线，提供从零到变现的标准化执行指南。
- 明确上门维修赛道定位、变现模型及核心运营指标
- 覆盖常用流量渠道与有效的客户获取方法
- 提供30日执行计划和详细的工具&检查清单
- 强调合规运营及常见风险规避
- 适合有实践基础、希望跑通可复制闭环的人或团队
Metadata
Frequently Asked Questions
What is Home Repair?
该技能介绍如何通过上门维修实现变现；当你计划从事或优化上门维修时调用。 It is an AI Agent Skill for Claude Code / OpenClaw, with 157 downloads so far.
How do I install Home Repair?
Run "/install home-repair" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Home Repair free?
Yes, Home Repair is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Home Repair support?
Home Repair is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Home Repair?
It is built and maintained by mike47512 (@mike47512); the current version is v0.1.0.
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