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zcz-user

7步需求拆解框架

by zcz-user · GitHub ↗ · v1.1.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install demand-analyzer
Description
7-Part Demand Analysis Framework. Use before executing any user task or request. Forces structured requirement analysis before action to prevent blind execut...
README (SKILL.md)

Demand Analyzer

7 部分需求拆解框架——在行动之前先理解,避免接到任务就瞎干。

工作流程

  1. 收到用户消息 → 停顿 3 秒,不要立刻回复
  2. 输出 7 部分拆解 → 按框架逐项分析
  3. 等用户确认 → 不要自己猜,让用户选
  4. 执行计划 → 用户确认后按方案行动

7 部分框架

读取 references/framework.md 获取完整框架和模板。

核心结构:

1. 核心意图 — 用户真正想要什么
2. 关键约束 — 时间、资源、限制条件
3. 隐含需求 — 用户没明说但重要的
4. 歧义澄清 — 哪些地方需要确认
5. 信息缺口 — 还缺什么信息
6. 可选方案 — 2-5 个方案(不要只给 3 个!)
7. 执行计划 — 确认后怎么干

关键规则

⚡ 停顿 3 秒

收到用户消息后,不要立刻回复"马上去做"。先拆解,再行动。

⚡ 不要只给 3 个方案

打破"3 的魔咒"——方案数量根据实际需要,2-5 个或更多。

⚡ 模糊问题先追问

用户说模糊的话(如"那个"、"怎么样了"),先列出 2-5 个可能的理解,让用户确认。

⚡ 信息不够先问

不要猜,不要脑补。缺信息就问用户。

适用场景

场景 怎么用
用户提出任务 完整 7 部分拆解
用户问问题 核心意图 + 歧义澄清 + 可选方案
用户分享链接 核心意图 + 隐含需求 + 可选方案
用户说模糊的话 列出 2-5 个理解 + 追问
复杂任务 完整 7 部分 + 详细执行计划
Usage Guidance
This skill appears coherent and low-risk: it's instruction-only, asks for no credentials, and its behavior (pause, ask clarifying questions, produce a 7-part analysis) matches its description. Two things to consider before installing: (1) the references mention using semantic search of memories — if you store sensitive data in agent memory, clarify whether the skill should access it; (2) the source/homepage is missing, so if you need stronger trust guarantees inspect the included files (SKILL.md and references/framework.md) yourself — they are small and readable. If you want automatic pre-execution analysis in all contexts, confirm how often the skill will be invoked and whether that interaction model suits your workflow.
Capability Assessment
Purpose & Capability
Name/description (7-part requirement analysis) match the SKILL.md and references. The skill doesn't request unrelated binaries, env vars, or installs — everything requested is appropriate for a conversational analysis helper.
Instruction Scope
Runtime instructions are limited to pausing 3 seconds, producing the 7-part breakdown, asking for user confirmation, and reading the bundled references/framework.md. The references mention using 'semantic search' to find related memories — that implies the skill may access agent memory when handling vague queries. This is coherent with its purpose but is a privacy-related behavior you should be aware of.
Install Mechanism
No install spec and no code files beyond the documentation — lowest-risk model for skills. Nothing will be downloaded or written to disk by an installer.
Credentials
The skill requires no environment variables, credentials, or external config paths. No disproportionate credential requests are present.
Persistence & Privilege
always:false and no special privileges requested. The skill can be invoked autonomously (platform default), which is normal; there is no evidence it modifies other skills or system-wide settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install demand-analyzer
  3. After installation, invoke the skill by name or use /demand-analyzer
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.1.0
Bilingual description (EN+CN)
v1.0.0
Initial release: 7部分需求拆解框架 + 模糊问题处理协议
Metadata
Slug demand-analyzer
Version 1.1.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is 7步需求拆解框架?

7-Part Demand Analysis Framework. Use before executing any user task or request. Forces structured requirement analysis before action to prevent blind execut... It is an AI Agent Skill for Claude Code / OpenClaw, with 23 downloads so far.

How do I install 7步需求拆解框架?

Run "/install demand-analyzer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is 7步需求拆解框架 free?

Yes, 7步需求拆解框架 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does 7步需求拆解框架 support?

7步需求拆解框架 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created 7步需求拆解框架?

It is built and maintained by zcz-user (@zcz-user); the current version is v1.1.0.

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