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Install in OpenClaw
/install mit24-value-proposition
Description
MIT有序创业24步法第二阶段(步骤6-10)。当用户需要设计价值主张、构建商业模式画布、量化产品价值、寻找潜在客户、定义核心价值时使用。触发词:价值主张、商业模式、商业模式画布、Business Model Canvas、全生命周期使用案例、客户终身价值、CLV、潜在客户、核心价值、价值量化、ROI
Usage Guidance
This skill appears coherent and low-risk because it is instruction-only and asks for no system access. Before using it: (1) avoid pasting sensitive or personally identifiable information—when providing customer lists or interview transcripts, anonymize or redact PII; (2) do not paste proprietary financials or private credentials—the skill does not need secrets to function; (3) validate any numeric or market claims the skill produces (use as advisory input, not authoritative); and (4) note the publisher/source is unknown—if you require provenance, ask the publisher or prefer skills with a verifiable homepage or trusted owner. If you plan to run customer outreach suggested by the skill, obtain consent and follow applicable privacy rules.
Capability Analysis
Type: OpenClaw Skill
Name: mit24-value-proposition
Version: 1.0.0
The skill bundle contains only metadata and markdown instructions (SKILL.md) for an AI agent to guide users through steps 6–10 of the MIT 24-step entrepreneurship framework. There is no executable code, no network requests, and no instructions that attempt to exfiltrate data or bypass security controls.
Capability Assessment
Purpose & Capability
The name, description, and SKILL.md all focus on designing value propositions, quantifying value, customer interviews, and building a Business Model Canvas. There are no unrelated requirements (no env vars, binaries, or config paths), so requested capabilities match the stated purpose.
Instruction Scope
The runtime instructions are procedural guidance (steps 6–10) and specify expected outputs. They do not instruct the agent to read local files, access environment variables, or transmit data to external endpoints. The instructions ask the agent to produce reports and lists but do not request system-level access or credential use.
Install Mechanism
No install spec or code files are present; this is instruction-only. That minimizes the skill's ability to drop or execute code on the host.
Credentials
The skill declares no required environment variables, credentials, or config paths. Everything it asks the user to provide (customer lists, interview notes, numeric values) is proportional to the business-design task.
Persistence & Privilege
always:false and no install actions are set. The skill may be invoked autonomously by the agent (platform default), which is expected for a user-invocable skill; this is not combined with elevated privileges or broad environment access.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install mit24-value-proposition - After installation, invoke the skill by name or use
/mit24-value-proposition - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
MIT有序创业24步法第二阶段(步骤6-10)正式上线:
- 增加全生命周期客户旅程设计方法,支持6阶段用户旅程绘制。
- 新增“价值主张量化”模块,指导用具体数字证明产品价值。
- 引入10位潜在客户识别与访谈流程,提升早期市场验证准确性。
- 明确“一句话核心价值主张”公式,帮助提炼产品独特卖点。
- 支持商业模式画布(九模块)系统设计与分析。
- 提供详细报告模板及流程建议,便于创业团队落地执行。
Metadata
Frequently Asked Questions
What is Mit24 Value Proposition?
MIT有序创业24步法第二阶段(步骤6-10)。当用户需要设计价值主张、构建商业模式画布、量化产品价值、寻找潜在客户、定义核心价值时使用。触发词:价值主张、商业模式、商业模式画布、Business Model Canvas、全生命周期使用案例、客户终身价值、CLV、潜在客户、核心价值、价值量化、ROI. It is an AI Agent Skill for Claude Code / OpenClaw, with 114 downloads so far.
How do I install Mit24 Value Proposition?
Run "/install mit24-value-proposition" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Mit24 Value Proposition free?
Yes, Mit24 Value Proposition is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Mit24 Value Proposition support?
Mit24 Value Proposition is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Mit24 Value Proposition?
It is built and maintained by Roma (@earthwalking); the current version is v1.0.0.
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